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Survey Summary Report: Numbers and Types of Responses, SLPs
Suggested Citation: American Speech-Language-Hearing Association. (2016). 2016 Schools survey. Survey summary report: Numbers and types of responses, SLPs. Available from www.asha.org.
ASHA 2016 SLP Schools Survey: Survey Summary Report
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Sampling and Response Rates ............................................................................................................................................. 1 ASHA Services and Programs: Q 1 ...................................................................................................................................... 2 Workforce: Qs 2–4 ................................................................................................................................................................ 5 Employment and Earnings: Qs 5–14 ..................................................................................................................................... 9 Caseload/Workload: Qs 15–22 ........................................................................................................................................... 22 Support Personnel: Qs 23–24 ............................................................................................................................................. 37 Performance Evaluation: Qs 25–26 .................................................................................................................................... 40 Ethics: Q 27 ......................................................................................................................................................................... 43 Interprofessional Collaboration: Qs 28–29 .......................................................................................................................... 45 Telepractice: Q 30 ............................................................................................................................................................... 49 Data: Qs 31–33 ................................................................................................................................................................... 50 IDEA Reauthorization: Q 34 ................................................................................................................................................ 56 Demographics: Qs 35–41 .................................................................................................................................................... 60 Appendix ............................................................................................................................................................................. 69
ASHA 2016 SLP Schools Survey: Survey Summary Report
ASHA 2016 SLP Schools Survey: Survey Summary Report
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Sampling and Response Rates
Probability (nonreplacement) sampling using a stratified systematic technique was used to select a sample of 4,000 ASHA-certified speech-language pathologists with schools as their primary employment facility for the 2016 Schools Survey. The sample was stratified by state, and data have been weighted to reflect their proportion by state within the Association. Small groups, such as speech-language pathologists who work in Wyoming and Idaho, were over sampled so that sufficient numbers from these groups could be included in the sample. An additional 500 ASHA-certified educational audiologists were also randomly selected to participate. Their results are in a separate report. This report is limited to responses from individuals with a Certificate of Clinical Competence in Speech-Language Pathology (CCC-SLP) only. An overall response rate of 47.4% was obtained for SLPs and audiologists combined (2,108 completed surveys from a net sample of 4,450 eligibles). The response rate for SLPs was 47.9% (1,894 completed surveys from a net sample of 3,956 eligible respondents). These percentages are unweighted. Data were weighted for all tables in the report. The “All Facility Types” column throughout the report reflects results for respondents from the seven facility types as well as from the 15 respondents who reported working in an “other” facility type, and respondents who did not answer the question about their type of facility. Therefore, the “All Facility Types” column may not be the sum of the ns in the other six columns. Data are not presented for table cells with fewer than 25 respondents and are noted with (n < 25) throughout the report. Administrative offices were excluded for questions where responses were limited to clinical service providers. A description of statistical terms used in the report can be found at the end of the report.
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ASHA Services and Programs 1. In your opinion, what kind of job is the Association doing in serving its school-based members? (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,817)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 216)
Elementary (n ≥ 1004)
Secondary (n ≥ 248)
Student’s Home
(n = 29)
Admin. Office
(n ≥ 34)
Combina-tion
(n ≥ 145)
overall
Poor 2.9 2.9 2.3 3.4 1.6 0.0 0.0 5.5
Fair 19.0 14.7 14.8 19.3 25.7 10.3 11.4 16.6
Good 57.4 55.9 58.8 59.3 52.6 34.5 42.9 60.0
Excellent 12.0 17.6 12.0 11.0 13.7 17.2 28.6 9.0
Don’t know, NA 8.7 8.8 12.0 7.1 6.4 37.9 17.1 9.0
Too many cells (23%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
with advocacy
Poor 6.7 4.3 6.8 7.4 7.3 3.4 0.0 6.2
Fair 22.6 18.8 21.9 22.8 27.4 13.8 17.1 19.2
Good 42.8 39.1 44.3 43.1 37.5 31.0 45.7 46.6
Excellent 9.2 14.5 9.1 8.7 11.3 10.3 11.4 5.5
Don’t know, NA 18.7 23.2 17.8 17.9 16.5 41.4 25.7 22.6
Statistical significance: χ2(24) = 30.6, p = .165 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
(Question 1 continues on next page.)
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1. (cont’d) In your opinion, what kind of job is the Association doing in serving its school-based members? (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,817)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 216)
Elementary (n ≥ 1004)
Secondary (n ≥ 248)
Student’s Home
(n = 29)
Admin. Office
(n ≥ 34)
Combina-tion
(n ≥ 145)
with continuing education
Poor 1.8 2.9 1.8 2.6 1.2 0.0 0.0 2.8
Fair 15.4 7.1 19.0 16.5 17.6 3.4 8.8 12.4
Good 50.6 44.3 49.3 51.9 51.2 37.9 41.2 49.0
Excellent 26.8 32.9 22.2 24.8 26.0 31.0 41.2 31.0
Don’t know, NA 5.3 12.9 7.7 4.3 4.0 27.6 8.8 4.8
Too many cells (26%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
with online resources
Poor 1.1 0.0 0.0 1.5 0.8 0.0 0.0 1.4
Fair 15.0 11.6 13.6 14.9 20.9 13.8 5.7 12.3
Good 51.9 39.1 53.2 52.4 48.6 20.7 48.6 54.1
Excellent 27.0 36.2 24.1 25.2 26.5 34.5 37.1 27.4
Don’t know, NA 5.0 13.0 9.1 6.1 3.2 31.0 8.6 4.8
Too many cells (29%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 1 continues on next page.)
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1. (cont’d) In your opinion, what kind of job is the Association doing in serving its school-based members? (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,817)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 216)
Elementary (n ≥ 1004)
Secondary (n ≥ 248)
Student’s Home
(n = 29)
Admin. Office
(n ≥ 34)
Combina-tion
(n ≥ 145)
with professional consultation
Poor 3.4 2.9 2.7 3.9 3.2 0.0 0.0 2.8
Fair 16.3 17.4 14.2 15.4 21.3 13.8 17.1 19.3
Good 34.0 29.0 34.2 34.7 33.7 17.2 31.4 33.8
Excellent 7.2 2.9 6.8 7.0 9.2 13.8 11.4 6.9
Don’t know, NA 39.0 47.8 42.0 39.0 32.5 55.2 40.0 37.2
Too many cells (20%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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Workforce
2. CCC-A ONLY. Based on your own observations and experiences, rate the current job market for audiology clinical service
providers in your type of employment facility and in your geographic area. (Percentages)
Response
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
More job openings than job seekers
See Survey Summary Report: Numbers and Types of Responses, Educational Audiologists
Job openings and job seekers in balance
Fewer job openings than job seekers
3. CCC-SLP ONLY. Based on your own observations and experiences, rate the current job market for speech-language
pathology clinical service providers in your type of employment facility and in your geographic area. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Response
Facility Type
All Facility Types
(n = 1,847)
Special Day/
Residential (n = 69)
Preschool (n = 220)
Elementary
(n = 1,009) Secondary (n = 244)
Student’s Home
(n = 30)
Admin. Office
(n = 34)
Combina-tion
(n = 143)
More job openings than job seekers
53.5 53.6 55.0 53.6 48.8 53.3 61.8 52.4
Job openings and job seekers in balance
29.8 18.8 29.5 30.0 32.0 33.3 26.5 32.2
Fewer job openings than job seekers
16.8 27.5 15.5 16.4 19.3 13.3 11.8 15.4
Statistical significance: χ2(12) = 12.1, p = .440 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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4. What are your greatest challenges as a school-based professional? Select all that apply. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Challenge
Facility Type
All Facility Types
(n = 1,894)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 224)
Elementary
(n ≥ 1,027) Secondary (n ≥ 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n ≥ 35)
Combina-tion
(n ≥ 149)
Budget constraints 43.7 36.8 48.4 43.2 40.8 45.2 40.0 48.7
Statistical significance: χ2(6) = 6.1, p = .412
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Ethical challenges 15.4 21.7 11.2 15.3 17.2 6.7 8.6 20.0
Statistical significance: χ2(6) = 11.3, p = .080
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
High workload/caseload size
69.6 64.7 71.1 70.6 70.6 66.7 60.0 63.3
Statistical significance: χ2(6) = 6.1, p = .416
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Inadequate work space and facilities
30.3 34.8 38.8 27.6 33.6 30.0 13.9 36.0
Statistical significance: χ2(6) = 19.9, p = .003, Cramer’s V = .105
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Incorporating optimal service delivery models
41.6 42.6 37.5 43.0 44.3 16.7 37.1 45.3
Statistical significance: χ2(6) = 11.8, p = .068
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
(Question 4 continues on next page.)
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4. (cont’d) What are your greatest challenges as a school-based professional? Select all that apply. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Challenge
Facility Type
All Facility Types
(n = 1,894)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 224)
Elementary
(n ≥ 1,027) Secondary (n ≥ 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n ≥ 35)
Combina-tion
(n ≥ 149)
Large amount of paperwork
82.8 76.5 86.7 83.6 80.5 63.3 80.0 85.9
Statistical significance: χ2(6) = 14.9, p = .021, Cramer’s V = .091
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Limited support from the administration
26.2 29.4 23.6 24.9 29.0 30.0 31.4 30.7
Statistical significance: χ2(6) = 5.4, p = .495
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Limited understanding of my role by others
40.2 36.8 25.0 43.6 47.8 13.3 37.1 36.0
Statistical significance: χ2(6) = 43.1, p = .000, Cramer’s V = .155
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Limited parental involvement and support
27.7 32.4 27.6 29.4 22.4 9.7 17.1 32.2
Statistical significance: χ2(6) = 14.2, p = .027, Cramer’s V = .089
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Limited time for collaboration
50.4 45.6 41.1 51.9 54.1 33.3 40.0 54.0
Statistical significance: χ2(6) = 16.6, p = .011, Cramer’s V = .096
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 4 continues on next page.)
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4. (cont’d) What are your greatest challenges as a school-based professional? Select all that apply. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Challenge
Facility Type
All Facility Types
(n = 1,894)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 224)
Elementary
(n ≥ 1,027) Secondary (n ≥ 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n ≥ 35)
Combina-tion
(n ≥ 149)
Low salary 36.1 42.0 41.8 38.2 25.5 30.0 28.6 34.2
Statistical significance: χ2(6) = 20.0, p = .003, Cramer’s V = .106
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Medicaid billing 32.1 13.2 26.3 35.9 30.1 23.3 30.6 32.7
Statistical significance: χ2(6) = 22.8, p = .001, Cramer’s V = .113
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Out-of-pocket professional expenses
34.5 31.9 36.4 35.4 37.3 29.0 17.1 35.3
Statistical significance: χ2(6) = 6.5, p = .370 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Personnel shortage 21.9 23.2 24.0 21.3 18.8 20.0 37.1 25.3
Statistical significance: χ2(6) = 8.1, p = .231 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Travel/distance between schools
7.6 4.4 8.4 6.4 4.3 9.7 11.1 18.0
Statistical significance: χ2(6) = 31.7, p = .000, Cramer’s V = .133
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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Employment and Earnings
5. Which one of the following categories best describes your employment status? (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Status
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
n = 1,806 n = 69 n = 225 n = 1,025 n = 256 n = 30 n = 35 n = 150
Employed full time 83.9 88.4 78.7 86.0 83.6 66.7 85.7 80.7
Employed part time 16.1 11.6 21.3 14.0 16.4 33.3 14.3 19.3
Not currently employed (SKIP to Q. 33.)
Removed from analyses
Statistical significance: χ2(6) = 16.7, p = .010, Cramer’s V = .097
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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6. Which one of the following best describes your principal employment situation? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Situation
Facility Type
All Facility Types
(n = 1,798)
Special Day/
Residential (n = 66)
Preschool (n = 224)
Elementary
(n = 1,022) Secondary (n = 255)
Student’s Home
(n = 30)
Admin. Office
(n = 34)
Combina-tion
(n = 149)
Salaried employee, full time or part time
87.3 89.4 89.7 88.0 87.8 76.7 88.2 82.6
Contractor, full time or part time
12.7 10.6 10.3 12.0 12.2 23.3 11.8 17.4
Statistical significance: χ2(6) = 8.1, p = .233 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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7. Although you may work in several types of facilities, select the one type of building that best describes where you work all or most of the time. For individuals who work in private practice or early intervention, select the type of building in which you deliver most of your services. Only one response can be accepted. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time or part time
Facility Percentages (n = 1,803)
Special day/residential school 3.8
Pre-elementary (preschool) 12.5
Elementary school 56.8
Secondary school (middle school, junior high, senior high) 14.2
Student’s home 1.7
Administrative office 2.0
Combination from the above list 8.3
Other; specify: 0.8
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8. Although you may perform more than one job function, select the one position that best describes how you spend most of your time. Only one response can be accepted. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time or part time
Function
Facility Type
All Facility Types
(n = 1,793)
Special Day/
Residential (n = 67)
Preschool (n = 223)
Elementary
(n = 1,021) Secondary (n = 252)
Student’s Home
(n = 31)
Admin. Office
(n = 35)
Combina-tion
(n = 145)
Clinical service provider (includes all individuals providing any direct service)
89.1 86.6 84.8 93.0 94.8 80.6 2.9 83.4
Diagnostician 3.2 0.0 9.0 1.7 1.2 6.5 25.7 3.4
Special education teacher
2.9 1.5 4.0 3.1 2.8 0.0 0.0 1.4
Consultant 1.1 4.5 1.3 0.3 0.8 0.0 2.9 2.8
Administrator/ supervisor/director
3.4 7.5 0.4 1.6 0.4 6.5 65.7 9.0
Other; specify: 0.4 0.0 0.4 0.3 0.0 6.5 2.9 0.0
Too many cells (60%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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9. Do you receive a salary supplement, stipend, bonus, or other type of “salary upgrade” for any of the following reasons? Select one response for each row. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time or part time
Salary upgrade
Facility Type
All Facility Types
(n ≥ 1,653)
Special Day/
Residential (n ≥ 63)
Preschool (n ≥ 204)
Elementary
(n ≥ 944) Secondary (n ≥ 230)
Student’s Home
(n ≥ 28)
Admin. Office
(n ≥ 27)
Combina-tion
(n ≥ 135)
ASHA CCCs
Yes 25.2 13.4 26.4 25.1 26.5 23.3 41.2 24.8
No 74.8 86.6 73.6 74.9 73.5 76.7 58.8 75.2
Statistical significance: χ2(6) = 10.0, p = .127
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
National Teachers Board Certification
Yes 6.1 4.8 4.8 6.7 5.7 0.0 13.8 5.0
No 93.9 95.2 95.2 93.3 94.3 100.0 86.2 95.0
Too many cells (21%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Extra work (Medicaid billing, supervision, etc.)
Yes 12.3 10.3 10.2 12.8 12.7 10.7 25.0 10.8
No 87.7 89.7 89.8 87.2 87.3 89.3 75.0 89.2
Statistical significance: χ2(6) = 5.9, p = .437
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
(Question 9 continues on next page.)
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9. (cont’d) Do you receive a salary supplement, stipend, bonus, or other type of “salary upgrade” for any of the following reasons? Select one response for each row. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time or part time
Response
Facility Type
All Facility Types
(n ≥ 1,653)
Special Day/
Residential (n ≥ 63)
Preschool (n ≥ 204)
Elementary
(n ≥ 944) Secondary (n ≥ 230)
Student’s Home
(n ≥ 28)
Admin. Office
(n ≥ 27)
Combina-tion
(n ≥ 135)
Recruitment/retention bonus
Yes 4.8 7.6 5.7 4.4 4.2 0.0 6.9 6.6
No 95.2 92.4 94.3 95.6 95.8 100.0 93.1 93.4
Too many cells (21%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Bilingual services
Yes 1.6 0.0 2.9 1.6 0.9 0.0 7.4 1.5
No 98.4 100.0 97.1 98.4 99.1 100.0 92.6 98.5
Too many cells (43%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Results of performance evaluation
Yes 5.5 13.6 6.3 4.7 3.4 10.7 0.0 8.6
No 94.5 86.4 93.7 95.3 96.6 89.3 100.0 91.4
Too many cells (21%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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10. In your primary job, are you paid on an annual basis or an hourly basis? Select one response only. (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Basis
Facility Type
All Facility Types
(n = 1,798)
Special Day/
Residential (n = 66)
Preschool (n = 224)
Elementary
(n = 1,024) Secondary (n = 253)
Student’s Home
(n = 30)
Admin. Office
(n = 34)
Combina-tion
(n = 150)
Annual salary 87.6 87.9 87.5 88.7 89.3 76.7 94.1 81.3
Hourly rate (SKIP to Q. 13.)
12.4 12.1 12.5 11.3 10.7 23.3 5.9 18.7
Statistical significance: χ2(6) = 11.9, p = .063
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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11. What is your gross annual income for your primary job, before all deductions? Include supplementary payments identified in Q. 9.
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time Annual salary of at least $1
Response
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
Worked 9-10 months (academic year)
n = 1,244 n = 29 n = 125 n = 775 n = 187 n = 10 n = 15 n = 97
25th percentile $52,982 $50,805 $49,951 $52,000 $58,000
(n < 25) (n < 25)
$55,000
50th percentile (Median)
$62,000 $67,781 $59,539 $60,000 $70,347 $63,586
75th percentile $75,000 $78,258 $70,097 $72,000 $85,000 $77,000
Mean $65,380 $65,329 $62,578 $63,786 $73,155 $66,090
Standard deviation $18,249 $16,833 $17,406 $17,815 $20,075 $14,943
Mode $60,000 $70,000 $51,000 $65,000 $60,000 $60,000
Statistical significance: F(6, 1230) = 8.8, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 11 continues on next page.)
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11. (cont’d) What is your gross annual income for your primary job, before all deductions? Include supplementary payments identified in Q. 9.
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time Annual salary of at least $1
Response
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
Worked 11-12 months (calendar year)
n = 131 n = 27 n = 34 n = 33 n = 8 n = 6 n = 14 n = 9
25th percentile $58,500 $67,684 $49,803 $55,847
(n < 25) (n < 25) (n < 25) (n < 25)
50th percentile (Median)
$70,154 $75,000 $60,348 $60,000
75th percentile $87,372 $89,515 $74,116 $75,145
Mean $73,846 $77,285 $63,002 $67,090
Standard deviation $21,391 $16,979 $15,807 $21,231
Mode $60,000 $69,000 $52,000 $60,000
Statistical significance: F(6, 123) = 6.8, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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12. For what period of work is this? If you work for 9–10 months but are paid over a 12-month period, select response “1.” Select one response only. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time or part time Annual salary of at least $1
Response
Facility Type
All Facility Types
(n = 1,503)
Special Day/
Residential (n = 58)
Preschool (n = 184)
Elementary
(n = 869) Secondary (n = 218)
Student’s Home
(n = 21)
Admin. Office
(n = 31)
Combina-tion
(n = 114)
1 Work 9–10 months per year
90.6 51.7 81.0 96.2 95.4 (n < 25)
51.6 90.4
2 Work 11–12 months per year
9.4 48.3 19.0 3.8 4.6 48.4 9.6
3 Work other period Removed from analyses
Statistical significance: χ2(6) = 237.3, p = .000, Cramer’s V = .398
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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13. If you are paid on an hourly basis, what is the hourly rate you receive at your primary job? Include your hourly rate before all deductions.
Analyses limited to respondents who met the following criteria: CCC-SLP Hourly salary of at least $1 Worked at least 1 hour per week
Response
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
21 or fewer hours
n = 110 n = 4 n = 9 n = 60 n = 10 n = 6 n = 1 n = 18
25th percentile $40.00
(n < 25) (n < 25)
$41.00
(n < 25) (n < 25) (n < 25) (n < 25)
50th percentile (Median)
$49.69 $55.00
75th percentile $60.00 $62.18
Mean $50.70 $53.61
Standard deviation $13.21 $12.79
Mode $40.00 $55.00
Statistical significance: F(6, 100) = 2.8, p = .015 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 13 continues on next page.)
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13. (cont’d) If you are paid on an hourly basis, what is the hourly rate you receive at your primary job? Include your hourly rate before all deductions.
Analyses limited to respondents who met the following criteria: CCC-SLP Hourly salary of at least $1 Worked at least 1 hour per week
Response
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
More than 21 hours
n = 97 n = 5 n = 15 n = 49 n = 14 n = 3 n = 0 n = 9
25th percentile $40.38
(n < 25) (n < 25)
$40.20
(n < 25) (n < 25) (n < 25) (n < 25)
50th percentile (Median)
$48.83 $49.41
75th percentile $60.00 $60.00
Mean $50.71 $50.30
Standard deviation $15.30 $15.13
Mode $45.00 $70.00
Statistical significance: F(5, 88) = 1.8, p = .125 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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14. For how many hours do you work per week for the hourly rate you entered in Q. 13? Analyses limited to respondents who met the following criteria:
CCC-SLP Hourly salary of at least $1
Hours
Facility Type
All Facility Types
(n = 208)
Special Day/
Residential (n = 8)
Preschool (n = 24)
Elementary
(n = 109) Secondary
(n = 24)
Student’s Home (n = 8)
Admin. Office (n = 1)
Combina-tion
(n = 28)
25th percentile 15.0
(n < 25) (n < 25)
14.2
(n < 25) (n < 25) (n < 25)
12.1
50th percentile (Median)
21.0 20.0 20.0
75th percentile 33.3 33.3 32.6
Mean 22.8 22.2 22.4
Standard deviation 11.0 10.8 11.0
Mode 15.0 35.0 20.0
Statistical significance: F(6, 194) = 1.2, p = .318 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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Caseload/Workload
“Caseload” is based only on the number of students served, whereas “workload” is based on ALL required and performed activities.
15. Using the description above, which approach is used to determine the number of students you serve? Select all that apply. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Clinical service provider Employed full time or part time
Approach
Facility Type
All Facility Types
(n = 1,566)
Special Day/
Residential (n = 58)
Preschool (n = 183)
Elementary
(n = 934) Secondary (n = 238)
Student’s Home
(n = 23) Admin. Office
Combina-tion
(n = 116)
Caseload approach only
80.9 81.0 76.0 83.8 80.7
(n < 25) Removed
from analyses
72.4
Workload approach only
15.2 19.0 20.2 12.7 13.4 21.6
Both caseload and workload
3.8 0.0 3.8 3.4 5.9 6.0
I do not provide clinical services to students (SKIP to Q. 33.)
Removed from analyses
Too many cells (22%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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16. What is your average monthly caseload size? Count each student only once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response greater than 0
Response
Facility Type
All Facility Types
(n = 1,328)
Special Day/
Residential (n = 50)
Preschool (n = 147)
Elementary
(n = 810) Secondary (n = 198)
Student’s Home
(n = 15) Admin. Office
Combina-tion
(n = 97)
25th percentile 36.0 18 25 40 40
(n < 25) Removed
from analyses
32
50th percentile (Median)
48.0 30 38 50 50 45
75th percentile 60.0 38 48 60 60 60
Mean 48.0 31 38 51 50 48
Standard deviation 18.2 16 16 17 17 24
Mode 50.0 30 50 50 45 50
Statistical significance: F(5, 1311) = 29.3, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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17. What is the approximate percentage of students on your average monthly caseload in each category below? Use your state’s or school district’s definition for “degree of communication impairment.” (Mean percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Response
Facility Type
All Facility Types
(n = 1,283)
Special Day/
Residential (n = 50)
Preschool (n = 138)
Elementary
(n = 789) Secondary (n = 190)
Student’s Home
(n = 15) Admin. Office
Combina-tion
(n = 91)
Severe/profound impairment
27.2 67.4 34.5 21.6 31.4
(n < 25) Removed
from analyses
32.3
Moderate impairment 43.1 20.5 44.0 44.2 46.1 39.0
Mild impairment 29.7 12.0 21.5 34.2 22.5 28.8
Tests of significance could not be run using the available software.
ASHA 2016 SLP Schools Survey: Survey Summary Report
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18. Indicate how many students you serve monthly in each of the following areas. Students who have overlapping areas of
intervention may be counted more than once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Area of Intervention
Facility Type
All Facility Types Special Day/Residential Preschool
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
n = 1,328 n varies n = 50 n varies n = 147 n varies
Auditory processing disorder (APD) 37.0 6.1 26.3 5.8 16.0 4.5
Autism spectrum disorder (ASD) 91.3 9.5 93.5 16.2 88.2 8.9
Childhood apraxia of speech (CAS) 63.4 3.2 33.7 4.3 81.4 3.2
Cognitive communication disorders 60.1 9.5 64.3 16.5 47.3 8.1
Dysphagia (swallowing/feeding) 10.5 2.3 22.8 5.3 12.9 1.9
Fluency disorders 68.6 2.6 34.8 2.2 44.3 1.7
Hearing loss 46.4 3.0 32.7 4.8 37.5 3.1
Language disorders: pragmatics/social communication
89.5 12.4 87.2 17.1 85.7 11.4
(Question 18 continues on next page.)
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18. (cont’d) Indicate how many students you serve monthly in each of the following areas. Students who have overlapping areas of
intervention may be counted more than once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Area of Intervention
Facility Type
All Facility Types Special Day/Residential Preschool
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
n = 1,328 n varies n = 50 n varies n = 147 n varies
Language disorders: semantics, morphology, syntax
90.8 21.8 74.3 17.7 88.6 17.0
Nonverbal, AAC 55.1 4.8 75.8 14.3 61.1 4.9
Reading and writing (literacy) 33.0 15.2 26.7 7.3 6.6 6.5
Selective mutism 17.6 1.4 11.8 4.9 16.5 1.4
Speech sound disorders 88.7 18.2 61.8 7.8 92.1 16.4
Traumatic brain injury (TBI) 17.1 1.5 28.7 1.8 9.9 1.6
Voice or resonance disorders 17.5 1.4 5.6 1.0 13.4 1.3
(Question 18 continues on next page.)
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18. (cont’d) Indicate how many students you serve in each of the following areas. Students who have overlapping areas of
intervention may be counted more than once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Area of Intervention
Facility Type
Elementary Secondary Student’s Home
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
n = 810 n varies n = 198 n varies n = 15
Auditory processing disorder (APD) 39.9 5.6 47.8 7.5
(n < 25)
Autism spectrum disorder (ASD) 92.5 7.9 92.0 14.0
Childhood apraxia of speech (CAS) 65.9 3.1 46.5 2.6
Cognitive communication disorders 62.5 8.3 59.5 11.7
Dysphagia (swallowing/feeding) 9.4 1.8 8.8 1.9
Fluency disorders 77.4 2.6 70.3 3.0
Hearing loss 48.6 2.5 47.4 2.4
Language disorders: pragmatics/social communication
91.5 10.9 88.6 16.9
(Question 18 continues on next page.)
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18. (cont’d) Indicate how many students you serve in each of the following areas. Students who have overlapping areas of
intervention may be counted more than once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Area of Intervention
Facility Type
Elementary Secondary Student’s Home
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
n = 810 n varies n = 198 n varies n = 15
Language disorders: semantics, morphology, syntax
93.3 22.1 90.2 26.2
(n < 25)
Nonverbal, AAC 51.5 3.7 56.4 4.3
Reading and writing (literacy) 36.3 14.4 46.7 20.6
Selective mutism 17.1 1.3 19.6 1.2
Speech sound disorders 94.1 21.2 80.1 7.6
Traumatic brain injury (TBI) 15.5 1.3 27.6 1.8
Voice or resonance disorders 19.5 1.3 13.7 1.6
(Question 18 continues on next page.)
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18. (cont’d) Indicate how many students you serve in each of the following areas. Students who have overlapping areas of
intervention may be counted more than once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Area of Intervention
Facility Type
Combination
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
n = 97 n varies
Auditory processing disorder (APD) 31.2 8.2
Autism spectrum disorder (ASD) 85.5 10.2
Childhood apraxia of speech (CAS) 61.7 3.9
Cognitive communication disorders 61.8 10.4
Dysphagia (swallowing/feeding) 10.8 3.4
Fluency disorders 57.9 3.3
Hearing loss 45.0 6.5
Language disorders: pragmatics/social communication
84.8 13.3
(Question 18 continues on next page.)
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18. (cont’d) Indicate how many students you serve in each of the following areas. Students who have overlapping areas of
intervention may be counted more than once. Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1
Area of Intervention
Facility Type
Combination
Percentage who regularly serve clients with this disorder
Number served (mean) (Includes only those who do serve these clients)
n = 97 n varies
Language disorders: semantics, morphology, syntax
85.8 21.9
Nonverbal, AAC 65.7 5.9
Reading and writing (literacy) 27.5 13.1
Selective mutism 26.2 1.3
Speech sound disorders 78.4 19.2
Traumatic brain injury (TBI) 15.3 2.3
Voice or resonance disorders 23.5 1.4
Note. AAC = augmentative and alternative communication.
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19. How many hours do you spend on each of the following activities in a typical WEEK? Enter “0” if none. (Mean hours)
Analyses limited to respondents who met the following criteria: CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1 Total number of hours for Q. 19 was limited to a maximum of 52 which captured 84% of respondents.
Activity
Facility Type
All Facility Types
(n ≥ 1,033)
Special Day/
Residential (n ≥ 38)
Preschool (n ≥ 126)
Elementary
(n ≥ 635) Secondary (n ≥ 139)
Student’s Home
(n = 13) Admin. Office
Combina-tion
(n ≥ 70)
Direct intervention: classroom based/ integrated services
4.6 7.2 7.6 3.2 6.1
(n < 25) Removed
from analyses
6.2
Direct intervention: pullout
18.6 13.6 15.3 20.3 17.5 16.6
Services to section 504 students
0.2 0.6 0.2 0.3 0.1 0.1
Documentation/ paperwork
6.5 6.4 7.1 6.4 6.3 6.3
Medicaid billing 1.6 1.2 1.5 1.6 1.4 1.7
Other indirect activities 2.3 3.4 2.3 2.0 2.4 3.1
MTSS/RTI activities 1.1 0.6 0.5 1.4 0.4 1.0
Diagnostic evaluations (e.g., observation, screening, scoring, analysis)
3.1 2.6 3.0 3.1 3.2 3.1
Technological support (e.g., hearing aids/ CIs, AAC)
0.7 1.6 0.7 0.5 1.0 1.3
(Question 19 continues on next page.)
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19. (cont’d) How many hours do you spend on each of the following activities in a typical WEEK? Enter “0” if none. (Mean hours)
Analyses limited to respondents who met the following criteria: CCC-SLP Clinical service provider Employed full time Response to Q. 16 (caseload size) is at least 1 Total number of hours for Q. 19 was limited to a maximum of 52 which captured 88% of respondents.
Activity
Facility Type
All Facility Types
(n ≥ 1,033)
Special Day/
Residential (n ≥ 38)
Preschool (n ≥ 126)
Elementary
(n ≥ 635) Secondary (n ≥ 139)
Student’s Home
(n = 13) Admin. Office
Combina-tion
(n ≥ 70)
Supervision 0.6 1.5 0.6 .06 0.8 (n < 25) Removed
from analyses
0.6
Tests of significance could not be run using the available software.
Note. AAC = augmentative and alternative communication; CI = cochlear implant; MTSS = multi-tiered system of support; RTI = response to intervention.
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20. Under what circumstances are you required to make up missed sessions? Select all that apply. (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,597)
Special Day/
Residential (n = 58)
Preschool (n ≥ 189)
Elementary
(n = 950) Secondary (n ≥ 239)
Student’s Home
(n = 25) Admin. Office)
Combina-tion
(n = 122)
I am not required to make up missed sessions.
40.4 48.3 40.2 41.4 38.9 28.0 Removed
from analyses
35.2
Statistical significance: χ2(5) = 5.0, p = .413 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
When the student misses a session due to assembly or classroom activity.
12.3 8.6 5.3 13.9 15.0 0.0 Removed
from analyses
9.0
Statistical significance: χ2(5) = 18.0, p = .003, Cramer’s V = .107
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Any time a student misses a session for any reason.
8.3 3.4 8.4 7.5 12.9 8.0 Removed
from analyses
9.0
Statistical significance: χ2(5) = 9.3, p = .096
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Any time I miss a session for any reason.
54.4 48.3 57.7 53.6 54.0 60.0 Removed
from analyses
58.2
Statistical significance: χ2(5) = 3.0, p = .701 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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21. What is your role on the multi-tiered system of support (MTSS)/response to intervention (RtI) or pre-referral team? Select all that apply. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Clinical service provider Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,597)
Special Day/
Residential (n = 58)
Preschool (n ≥ 189)
Elementary
(n = 950) Secondary (n ≥ 239)
Student’s Home
(n ≥ 24) Admin. Office
Combina-tion
(n ≥ 121)
Conduct screenings. 54.9 12.1 33.9 66.8 38.1 16.0 Removed
from analyses
59.5
Statistical significance: χ2(5) = 175.3, p = .000, Cramer’s V = .333 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Provide consultation as a member of the pre-referral team.
54.6 19.0 34.4 66.1 40.2 16.0 Removed
from analyses
53.7
Statistical significance: χ2(5) = 146.8, p = .000, Cramer’s V = .305
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Provide direct services within general education.
30.4 8.6 21.6 37.5 19.2 8.0 Removed
from analyses
29.8
Statistical significance: χ2(5) = 62.3, p = .000, Cramer’s V = .198
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 21 continues on next page.)
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21. (cont’d) What is your role on the multi-tiered system of support (MTSS)/response to intervention (RtI) or pre-referral team? Select all that apply. (Percentages)
Analyses limited to respondents who met the following criteria: CCC-SLP Clinical service provider Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,597)
Special Day/
Residential (n = 58)
Preschool (n ≥ 189)
Elementary
(n = 950) Secondary (n ≥ 239)
Student’s Home
(n ≥ 24) Admin. Office
Combina-tion
(n ≥ 121)
Provide strategies to classroom teachers.
58.2 27.6 36.5 68.5 49.8 8.0 Removed
from analyses
58.2
Statistical significance: χ2(5) =133.7, p = .000, Cramer’s V = .291 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Not applicable; I don’t participate in MTSS/RTI or pre- referral.
26.9 67.2 48.7 16.2 36.0 (n < 25) Removed
from analyses
25.4
Statistical significance: χ2(5) =176.5, p = .000, Cramer’s V = .334
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Note. MTSS = multi-tiered system of support; RTI = response to intervention.
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22. How qualified do you believe you are to address cultural and linguistic influences on service delivery and outcomes?
Scale: 1 = Not at all qualified → 5 = Very qualified
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n = 1,689)
Special Day/
Residential (n = 61)
Preschool (n = 208)
Elementary
(n = 992) Secondary (n = 247)
Student’s Home
(n = 24)
Admin. Office
(n = 10)
Combina-tion
(n = 130)
1 – Not at all qualified 3.7 3.3 4.3 3.6 3.2
(n < 25) (n < 25)
6.2
2 16.7 13.1 20.7 17.8 11.3 13.1
3 45.6 50.8 48.1 46.2 43.7 41.5
4 25.9 24.6 19.2 25.4 31.2 29.2
5 – Very qualified 8.0 8.2 7.7 7.0 10.5 10.0
Too many cells (31%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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Support Personnel
23. How many assistants or aides do you currently supervise? Put “0” if none. If “0,” skip to Q. 25. Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time Response greater than 0
Response
Facility Type
All Facility Types
(n = 268)
Special Day/
Residential (n = 10)
Preschool (n = 45)
Elementary
(n = 150) Secondary
(n = 34)
Student’s Home (n = 3)
Admin. Office
Combina-tion
(n = 23)
25th percentile 1.0
(n < 25)
1.0 1.0 1.0
(n < 25) Removed
from analyses
(n < 25)
50th percentile (Median)
1.0 1.0 1.0 1.0
75th percentile 2.0 1.4 1.5 1.7
Mean 1.5 1.4 1.5 1.3
Standard deviation 1.3 0.8 1.6 0.6
Mode 1.0 1.0 1.0 1.0
Statistical significance: F(5, 258) = 0.3, p = .907 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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24. How does supervision of the assistant or aide impact your caseload and workload? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time Response to Q. 23 (number of aides) is greater than 0
Impact
Facility Type
All Facility Types
(n = 268)
Special Day/
Residential (n ≥ 10)
Preschool (n = 45)
Elementary
(n = 150) Secondary
(n ≥ 33)
Student’s Home (n = 3)
Admin. Office
Combina-tion
(n ≥ 23)
Increases my caseload 23.0 (n < 25) 20.0 23.3 15.2 (n < 25) Removed
from analyses
(n < 25)
Too many cells (25%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Increases my workload 45.4 (n < 25) 53.3 43.3 48.5 (n < 25) Removed
from analyses
(n < 25)
Statistical significance: χ2(5) = 3.9, p = .571
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Decreases my caseload
22.8 (n < 25) 22.2 24.7 32.4 (n < 25) Removed
from analyses
(n < 25)
Too many cells (25%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Decreases my workload
31.2 (n < 25) 24.4 36.0 23.5 (n < 25) Removed
from analyses
(n < 25)
Too many cells (25%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 24 continues on next page.)
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24. (cont’d) How does supervision of the assistant or aide impact your caseload and workload? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time Response to Q. 23 (number of aides) is greater than 0
Impact
Facility Type
All Facility Types
(n = 268)
Special Day/
Residential (n ≥ 10)
Preschool (n = 45)
Elementary
(n = 150) Secondary
(n ≥ 33)
Student’s Home (n = 3)
Admin. Office
Combina-tion
(n ≥ 23)
No impact on my caseload
19.8 (n < 25) 17.8 20.0 23.5 (n < 25) Removed
from analyses
(n < 25)
Too many cells (33%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
No impact on my workload
12.3 (n < 25) 15.6 9.9 14.7 (n < 25) Removed
from analyses
(n < 25)
Too many cells (42%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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Performance Evaluation
25. Who completes your performance evaluation? Select all that apply. Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,806)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 224)
Elementary
(n ≥ 1,024) Secondary (n = 255)
Student’s Home
(n = 30)
Admin. Office
(n = 35)
Combina-tion
(n = 150)
Building administrator 45.2 36.8 34.8 51.7 44.7 33.3 11.4 34.0
Statistical significance: χ2(6) = 54.6, p = .000, Cramer’s V = .175
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Special education director
26.1 10.1 29.8 26.4 31.8 13.3 20.0 20.7
Statistical significance: χ2(6) = 20.5, p = .002, Cramer’s V = .107
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Supervisor of speech- language program
19.0 34.8 25.9 16.2 22.0 13.3 0.0 19.3
Statistical significance: χ2(6) = 33.7, p = .000, Cramer’s V = .137
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Supervisor of audiology program
0.2 0.0 0.9 0.0 0.8 0.0 0.0 0.0
Too many cells (50%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
None of the above 11.2 10.3 11.1 10.5 9.4 20.0 0.0 18.7
Statistical significance: χ2(6) = 16.6, p = .011, Cramer’s V = .096 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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26. What system or tool is used to evaluate your performance? Select all that apply. Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,806)
Special Day/
Residential (n = 68)
Preschool (n ≥ 224)
Elementary
(n = 1,025) Secondary (n = 255)
Student’s Home
(n = 30)
Admin. Office
(n ≥ 35)
Combina-tion
(n ≥ 149) A performance evaluation system that is also used for classroom teachers
42.8 45.6 48.2 43.8 46.3 40.0 13.9 32.2
Statistical significance: χ2(6) = 23.7, p = .001, Cramer’s V = .115
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
A performance evaluation system that is customized for audiologists or SLPs
29.7 19.1 26.2 32.0 31.0 13.3 8.6 28.7
Statistical significance: χ2(6) = 19.2, p = .004, Cramer’s V = .104
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
The ASHA Performance Assessment of Contributions and Effectiveness of SLPs (PACE)
1.2 0.0 1.8 1.1 1.2 0.0 0.0 2.7
Too many cells (43%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 26 continues on next page.)
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42
26. (cont’d) What system or tool is used to evaluate your performance? Select all that apply. Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,806)
Special Day/
Residential (n = 68)
Preschool (n ≥ 224)
Elementary
(n = 1,025) Secondary (n = 255)
Student’s Home
(n = 30)
Admin. Office
(n ≥ 35)
Combina-tion
(n ≥ 149)
None of the above 21.8 27.9 20.0 21.9 19.2 29.0 5.7 25.5
Statistical significance: χ2(6) = 10.4, p = .108
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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Ethics
27. Which of the issues below present you with significant ethical challenges? Select all that apply. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Challenge
Facility Type
All Facility Types
(n = 1,894)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 224)
Elementary
(n = 1,028) Secondary (n = 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n = 35)
Combina-tion
(n = 150)
Adhering to administrative and regulatory mandates
24.6 20.6 26.3 26.4 27.5 16.7 8.6 25.3
Statistical significance: χ2(6) = 8.3, p = .217
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Compromising quality of services
42.5 40.6 43.8 47.0 45.5 22.6 14.3 42.0
Statistical significance: χ2(6) = 22.5, p = .001, Cramer’s V = .112
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Completing Medicaid billing
14.3 7.2 9.8 17.1 18.0 6.5 0.0 14.0
Statistical significance: χ2(6) = 21.3, p = .002, Cramer’s V = .109
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Supervising support personnel, CFs, etc.
2.9 4.4 4.4 2.9 2.7 0.0 0.0 3.3
Too many cells (29%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 27 continues on next page.)
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27. (cont’d) Which of the issues below present you with significant ethical challenges? Select all that apply. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Challenge
Facility Type
All Facility Types
(n = 1,894)
Special Day/
Residential (n ≥ 68)
Preschool (n ≥ 224)
Elementary
(n = 1,028) Secondary (n = 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n = 35)
Combina-tion
(n = 150)
Working with unqualified providers
8.5 11.8 9.3 7.7 11.3 6.5 2.9 12.7
Statistical significance: χ2(6) = 8.9, p = .177 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
None of the above 34.3 38.2 36.0 35.8 38.4 46.7 8.6 32.7
Statistical significance: χ2(6) = 14.4, p = .025, Cramer’s V = .090 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Note. CF = Clinical Fellowship.
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Interprofessional Collaboration
For the purposes of this survey, “interprofessional collaborative practice” (IPP) occurs when two or more individuals from different fields work together to provide comprehensive, integrated services (e.g., develop and implement a treatment plan collaboratively as a team) in a school environment.
28. During the past 12 months, have you engaged in IPP, as defined above, in your primary work setting? (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Response
Facility Type
All Facility Types
(n = 1,714)
Special Day/
Residential (n = 63)
Preschool (n = 214)
Elementary
(n = 1,005) Secondary (n = 249)
Student’s Home
(n = 25)
Admin. Office (n = 9)
Combina-tion
(n = 132)
Yes 73.8 79.4 76.6 70.9 78.7 84.0 (n < 25)
77.3
No (SKIP to Q. 30.) 26.2 20.6 23.4 29.1 21.3 16.0 22.7
Statistical significance: χ2(6) = 14.6, p = .023, Cramer’s V = .093
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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29. How often have you engaged in IPP for the following activities during the past 12 months? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Answered “Yes” to Q. 28
Frequency
Facility Type
All Facility Types
(n ≥ 1,204)
Special Day/
Residential (n ≥ 46)
Preschool (n ≥ 151)
Elementary
(n ≥ 689) Secondary (n ≥ 180)
Student’s Home
(n ≥ 20)
Admin. Office (n ≥ 8)
Combina-tion
(n ≥ 97)
Assessment
Never 17.0 28.3 12.2 16.9 18.8
(n < 25) (n < 25)
17.8
Less than monthly 26.1 15.2 25.6 29.5 21.5 21.8
Monthly 32.3 32.6 29.5 33.2 33.3 31.7
Weekly 20.5 13.0 24.4 17.7 23.7 21.8
Daily 4.1 10.9 8.3 2.7 2.7 6.9
Too many cells (29%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Treatment
Never 6.4 4.2 3.9 5.8 9.1
(n < 25) (n < 25)
9.9
Less than monthly 18.7 10.4 12.3 22.0 19.8 13.9
Monthly 24.7 14.6 21.9 26.4 22.5 18.8
Weekly 37.7 47.9 39.4 36.9 33.2 45.5
Daily 12.4 22.9 22.6 8.8 15.5 11.9
Too many cells (26%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 29 continues on next page.)
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29. (cont’d) How often have you engaged in IPP for the following activities during the past 12 months? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Answered “Yes” to Q. 28
Frequency
Facility Type
All Facility Types
(n ≥ 1,204)
Special Day/
Residential (n ≥ 46)
Preschool (n ≥ 151)
Elementary
(n ≥ 689) Secondary (n ≥ 180)
Student’s Home
(n ≥ 20)
Admin. Office (n ≥ 8)
Combina-tion
(n ≥ 97)
Documentation
Never 30.0 36.2 28.5 28.7 32.2
(n < 25) (n < 25)
35.1
Less than monthly 27.7 21.3 25.8 30.3 25.0 22.7
Monthly 21.0 17.0 21.2 21.2 20.6 19.6
Weekly 16.4 19.1 17.9 15.7 17.8 15.5
Daily 4.9 6.4 6.6 4.1 4.4 7.2
Too many cells (29%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
IPP team meeting
Never 8.6 6.5 5.2 9.6 9.0
(n < 25) (n < 25)
6.9
Less than monthly 21.7 10.9 19.5 24.0 20.2 20.6
Monthly 32.9 23.9 33.8 32.4 36.7 34.3
Weekly 33.4 50.0 37.7 31.2 30.9 34.3
Daily 3.3 8.7 3.9 2.7 3.2 3.9
Too many cells (34%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 29 continues on next page.)
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29. (cont’d) How often have you engaged in IPP for the following activities during the past 12 months? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Answered “Yes” to Q. 28
Frequency
Facility Type
All Facility Types
(n ≥ 1,204)
Special Day/
Residential (n ≥ 46)
Preschool (n ≥ 151)
Elementary
(n ≥ 689) Secondary (n ≥ 180)
Student’s Home
(n ≥ 20)
Admin. Office (n ≥ 8)
Combina-tion
(n ≥ 97)
Student/family meeting
Never 4.9 0.0 5.7 5.0 4.8
(n < 25) (n < 25)
4.9
Less than monthly 34.4 42.2 35.4 33.8 31.7 42.2
Monthly 32.9 17.8 34.2 33.6 35.4 27.5
Weekly 25.1 35.6 19.6 25.5 27.5 19.6
Daily 2.8 4.4 5.1 2.1 0.5 5.9
Too many cells (34%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Note. IPP = interprofessional collaborative practice.
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Telepractice
30. If telepractice is being used in your district, who is providing the service? Select all that apply. (Percentages) Analyses limited to respondents who met the following criterion:
CCC-SLP
Provider
Facility Type
All Facility Types
(n = 1,894)
Special Day/
Residential (n = 68)
Preschool (n ≥ 224)
Elementary
(n = 1,028) Secondary (n ≥ 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n ≥ 35)
Combina-tion
(n = 150)
District staff. 1.7 2.9 2.2 1.4 1.6 3.3 0.0 4.0
Too many cells (43%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Contracted audiologists and SLPs.
3.6 1.5 1.8 3.6 2.4 6.5 2.9 8.7
Too many cells (21%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Telepractice is not used in my district.
74.9 79.4 80.4 82.5 80.9 63.3 22.2 62.7
Statistical significance: χ2(6) = 105.6, p = .000, Cramer’s V = .243
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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Data
31. Do you collect outcomes data on student progress? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time or part time
Response
Facility Type
All Facility Types
(n = 1,201)
Special Day/
Residential (n = 48)
Preschool (n = 151)
Elementary
(n = 710) Secondary (n = 176)
Student’s Home
(n = 17) Admin. Office
Combina-tion
(n = 87)
Yes 98.7 100.0 97.4 98.7 98.9 (n < 25)
Removed from
analyses
100.0
No (SKIP to Q. 33.) 1.3 0.0 2.6 1.3 1.1 0.0
Too many cells (42%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
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32. IF YES, what measure(s) do you use? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Clinical service provider Employed full time or part time
Measure
Facility Type
All Facility Types
(n = 1,597)
Special Day/
Residential (n = 58)
Preschool (n = 189)
Elementary
(n = 949) Secondary (n = 239)
Student’s Home
(n = 25) Admin. Office
Combina-tion
(n ≥ 121)
An outcome measure you created
66.3 72.4 63.0 67.4 65.7 40.0 Removed
from analyses
66.9
Statistical significance: χ2(5) = 10.3, p = .068
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
A formal outcome measure (Provide the title.)
10.7 13.8 21.2 8.4 10.5 28.0 Removed
from analyses
6.6
Statistical significance: χ2(5) = 37.6, p = .000, Cramer’s V = .154
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
Note. The listing of formal measures can be found in a separate report available from Rob Mullen, Director, National Center for Evidence-Based Practice in Communication Disorders (NCEP) at [email protected].
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33. How helpful would national data be in demonstrating student progress related to the topics below?
Scale: 1 = Not at all helpful → 5 = Very helpful
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,674)
Special Day/
Residential (n ≥ 62)
Preschool (n ≥ 194)
Elementary
(n ≥ 914) Secondary (n ≥ 225)
Student’s Home
(n ≥ 28)
Admin. Office
(n ≥ 31)
Combina-tion
(n ≥ 127)
Caseload/workload size
1 – Not at all helpful 5.7 14.1 3.3 4.8 9.0 13.8 0.0 8.0
2 3.9 6.3 4.8 3.7 2.9 3.4 5.7 5.8
3 13.0 15.6 13.3 12.7 13.1 20.7 5.7 10.9
4 15.1 17.2 15.2 16.2 13.9 13.8 17.1 10.1
5 – Very helpful 62.3 46.9 63.3 62.6 61.2 48.3 71.4 65.2
Too many cells (26%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Group size
1 – Not at all helpful 7.9 17.7 4.3 6.8 12.4 14.3 2.9 8.1
2 6.6 8.1 7.2 5.8 7.5 3.6 2.9 10.4
3 19.8 22.6 24.2 19.0 16.6 28.6 25.7 18.5
4 18.1 14.5 19.3 18.7 20.7 7.1 5.7 14.1
5 – Very helpful 47.6 37.1 44.9 49.8 42.7 46.4 62.9 48.9
Statistical significance: χ2(24) = 46.1, p = .004, Cramer’s V = .083
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 33 continues on next page.)
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33. (cont’d) How helpful would national data be in demonstrating student progress related to the topics below?
Scale: 1 = Not at all helpful → 5 = Very helpful
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,674)
Special Day/
Residential (n ≥ 62)
Preschool (n ≥ 194)
Elementary
(n ≥ 914) Secondary (n ≥ 225)
Student’s Home
(n ≥ 28)
Admin. Office
(n ≥ 31)
Combina-tion
(n ≥ 127)
Frequency of service
1 – Not at all helpful 4.9 6.2 2.4 4.4 8.0 3.4 0.0 7.8
2 4.5 7.7 4.8 4.7 3.4 6.9 0.0 4.3
3 17.7 15.4 18.8 17.7 18.5 10.3 11.8 12.1
4 21.2 26.2 23.2 21.5 22.3 6.9 11.8 19.9
5 – Very helpful 51.7 44.6 50.7 51.7 47.9 72.4 76.5 56.0
Too many cells (20%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Intensity of service
1 – Not at all helpful 6.1 9.5 2.9 5.8 9.8 3.4 0.0 9.0
2 6.4 7.9 3.9 7.0 7.2 3.4 2.9 5.2
3 22.9 23.8 28.8 23.3 19.6 10.3 20.6 15.7
4 22.9 23.8 22.9 22.9 21.7 13.8 14.7 23.9
5 – Very helpful 41.8 34.9 41.5 41.0 41.7 69.0 61.8 46.3
Statistical significance: χ2(24) = 39.5, p = .024, Cramer’s V = .077
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 33 continues on next page.)
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33. (cont’d) How helpful would national data be in demonstrating student progress related to the topics below?
Scale: 1 = Not at all helpful → 5 = Very helpful
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,674)
Special Day/
Residential (n ≥ 62)
Preschool (n ≥ 194)
Elementary
(n ≥ 914) Secondary (n ≥ 225)
Student’s Home
(n ≥ 28)
Admin. Office
(n ≥ 31)
Combina-tion
(n ≥ 127)
Collaborative teaming
1 – Not at all helpful 7.8 9.7 4.0 8.4 9.8 6.9 0.0 7.3
2 9.6 8.1 7.0 10.4 9.8 10.3 19.4 7.3
3 29.7 24.2 35.3 30.4 26.9 24.1 25.8 27.0
4 22.0 21.0 25.4 21.3 22.2 13.8 9.7 19.0
5 – Very helpful 30.9 37.1 28.4 29.5 31.2 44.8 45.2 39.4
Statistical significance: χ2(24) = 31.8, p = .131
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Integrated versus pullout services
1 – Not at all helpful 6.4 6.3 3.3 6.2 9.9 7.1 3.0 7.9
2 5.7 6.3 5.3 6.0 4.3 7.1 0.0 7.1
3 20.7 15.9 24.9 21.5 18.5 28.6 15.2 17.1
4 26.3 34.9 25.4 27.3 24.9 3.6 18.2 21.4
5 – Very helpful 40.9 36.5 41.1 39.1 42.5 53.6 63.6 46.4
Statistical significance: χ2(24) = 35.0, p = .069
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
(Question 33 continues on next page.)
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33. (cont’d) How helpful would national data be in demonstrating student progress related to the topics below?
Scale: 1 = Not at all helpful → 5 = Very helpful
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,674)
Special Day/
Residential (n ≥ 62)
Preschool (n ≥ 194)
Elementary
(n ≥ 914) Secondary (n ≥ 225)
Student’s Home
(n ≥ 28)
Admin. Office
(n ≥ 31)
Combina-tion
(n ≥ 127)
Hearing technology function/usage
1 – Not at all helpful 20.2 21.0 19.6 20.5 23.6 24.1 22.6 20.5
2 16.9 16.1 16.0 17.6 20.9 3.4 12.9 13.4
3 31.4 32.3 30.4 31.5 29.8 24.1 35.5 31.5
4 14.6 21.0 18.6 14.0 9.8 6.9 6.5 15.0
5 – Very helpful 16.9 9.7 15.5 16.4 16.0 41.4 22.6 19.7
Statistical significance: χ2(24) = 32.9, p = .105
Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
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IDEA Reauthorization
34. Rate the importance of each of the issues below in relation to the Individuals with Disabilities Education Act (IDEA).
Scale: 1 = Not at all important → 5 = Very important
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,689)
Special Day/
Residential (n ≥ 61)
Preschool (n ≥ 209)
Elementary
(n ≥ 917) Secondary (n ≥ 222)
Student’s Home
(n ≥ 27)
Admin. Office
(n ≥ 32)
Combina-tion
(n ≥ 131)
Connection with the Early Hearing Detection and Intervention program (EHDI)
1 – Not at all important 5.0 8.2 3.8 5.5 5.0 7.4 12.5 2.3
2 8.9 9.8 6.7 10.6 8.6 0.0 9.4 6.1
3 22.1 23.0 25.7 22.4 20.3 18.5 34.4 16.0
4 18.7 16.4 15.2 18.9 17.1 7.4 9.4 25.2
5 – Very important 45.4 42.6 48.6 42.7 49.1 66.7 34.4 50.4
Statistical significance: χ2(24) = 36.2, p = .053 Conclusion: There is not enough evidence from the data to say that the responses vary by facility type.
Early childhood
1 – Not at all important 1.7 4.9 0.5 1.6 3.5 0.0 2.9 0.7
2 2.7 0.0 2.3 2.8 3.5 0.0 8.6 3.6
3 10.4 9.8 5.0 11.4 12.6 0.0 22.9 10.9
4 19.4 31.1 12.7 20.7 20.0 0.0 11.4 15.9
5 – Very important 65.8 54.1 79.5 63.5 60.4 100.0 54.3 68.8
Too many cells (34%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 34 continues on next page.)
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34. (cont’d) Rate the importance of each of the issues below in relation to the Individuals with Disabilities Education Act (IDEA).
Scale: 1 = Not at all important → 5 = Very important
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,689)
Special Day/
Residential (n ≥ 61)
Preschool (n ≥ 209)
Elementary
(n ≥ 917) Secondary (n ≥ 222)
Student’s Home
(n ≥ 27)
Admin. Office
(n ≥ 32)
Combina-tion
(n ≥ 131)
Early intervening services/MTSS/RtI
1 – Not at all important 1.7 5.0 1.9 0.9 4.4 0.0 3.0 1.5
2 2.8 1.7 3.8 2.6 4.4 0.0 0.0 3.6
3 14.5 10.0 16.1 15.2 15.3 0.0 12.1 15.3
4 22.2 41.7 17.5 23.0 20.1 3.4 21.2 18.2
5 – Very important 58.8 41.7 60.7 58.2 55.9 96.6 63.6 61.3
Too many cells (34%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Funding
1 – Not at all important 1.5 3.3 1.4 1.4 2.2 0.0 2.9 2.2
2 3.1 3.3 3.2 3.0 3.5 3.6 5.9 1.5
3 15.1 6.6 15.3 15.0 21.0 3.6 11.8 13.9
4 21.4 39.3 18.5 23.0 14.8 7.1 20.6 21.9
5 – Very important 58.9 47.5 61.6 57.6 58.5 85.7 58.8 60.6
Too many cells (31%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 34 continues on next page.)
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34. (cont’d) Rate the importance of each of the issues below in relation to the Individuals with Disabilities Education Act (IDEA).
Scale: 1 = Not at all important → 5 = Very important
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,689)
Special Day/
Residential (n ≥ 61)
Preschool (n ≥ 209)
Elementary
(n ≥ 917) Secondary (n ≥ 222)
Student’s Home
(n ≥ 27)
Admin. Office
(n ≥ 32)
Combina-tion
(n ≥ 131)
IEP team independence/strengthening
1 – Not at all important 2.6 6.3 3.3 2.0 3.0 0.0 5.7 4.4
2 5.5 6.3 2.9 6.2 6.9 0.0 8.6 5.2
3 26.6 23.8 33.5 26.2 25.4 34.5 25.7 20.7
4 29.3 27.0 31.1 30.5 24.1 17.2 14.3 28.9
5 – Very important 36.0 36.5 29.2 35.1 40.5 48.3 45.7 40.7
Too many cells (20%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Language of intervention for ELLs
1 – Not at all important 3.3 3.3 2.9 3.9 1.8 0.0 5.9 3.0
2 7.0 9.8 5.3 7.1 5.3 7.1 8.8 10.4
3 27.4 39.3 28.2 27.9 22.9 21.4 20.6 25.2
4 26.7 21.3 27.3 27.6 26.4 10.7 32.4 24.4
5 – Very important 35.6 26.2 36.4 33.4 43.6 60.7 32.4 37.0
Too many cells (20%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
(Question 34 continues on next page.)
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34. (cont’d) Rate the importance of each of the issues below in relation to the Individuals with Disabilities Education Act (IDEA).
Scale: 1 = Not at all important → 5 = Very important
Analyses limited to respondents who met the following criterion: CCC-SLP
Response
Facility Type
All Facility Types
(n ≥ 1,689)
Special Day/
Residential (n ≥ 61)
Preschool (n ≥ 209)
Elementary
(n ≥ 917) Secondary (n ≥ 222)
Student’s Home
(n ≥ 27)
Admin. Office
(n ≥ 32)
Combina-tion
(n ≥ 131)
Paperwork reduction
1 – Not at all important 2.3 3.2 3.2 2.0 3.0 0.0 5.9 1.4
2 3.3 9.5 0.9 2.7 5.1 0.0 5.9 5.8
3 12.4 20.6 12.5 12.2 9.8 10.7 17.6 10.9
4 20.3 17.5 28.2 19.4 23.0 10.7 17.6 15.2
5 – Very important 61.6 49.2 55.1 63.8 59.1 78.6 52.9 66.7
Too many cells (29%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Treatment of ASD
1 – Not at all important 1.2 4.8 1.8 1.1 0.4 0.0 0.0 0.7
2 2.8 0.0 3.7 3.3 2.1 3.4 8.8 0.7
3 14.7 11.1 10.1 15.7 13.6 13.8 26.5 15.2
4 29.0 20.6 31.2 29.7 27.7 17.2 26.5 27.5
5 – Very important 52.2 63.5 53.2 50.2 56.2 65.5 38.2 55.8
Too many cells (34%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Note. ASD = autism spectrum disorder; ELL = English language learner; IEP = individualized education program.
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Demographics
35. Which one of the following best describes where you work? (Percentages) Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Area
Facility Type
All Facility Types
(n = 1,787)
Special Day/
Residential (n = 69)
Preschool (n = 222)
Elementary
(n = 1,014) Secondary (n = 254)
Student’s Home
(n = 29)
Admin. Office
(n = 35)
Combina-tion
(n = 146)
City/urban area 32.4 40.6 32.4 31.4 33.5 34.5 40.0 29.5
Suburban area 45.2 49.3 44.6 43.0 56.7 34.5 40.0 42.5
Rural area 22.4 10.1 23.0 25.6 9.8 31.0 20.0 28.1
Not employed (SKIP to Q. 37.)
Removed from analyses
Statistical significance: χ2(12) = 43.0, p = .000, Cramer’s V = .110
Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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36. In what state is your primary employment FACILITY located? Use standard post office two-letter code (e.g., ID for Idaho).
Analyses limited to respondents who met the following criteria: CCC-SLP Employed full time or part time
State n State n State n
Alabama (AL) 15 Kentucky (KY) 26 North Dakota (ND) 7
Alaska (AK) 4 Louisiana (LA) 27 Ohio (OH) 60
Arizona (AZ) 28 Maine (ME) 10 Oklahoma (OK) 23
Arkansas (AR) 31 Maryland (MD) 43 Oregon (OR) 23
California (CA) 150 Massachusetts (MA) 62 Pennsylvania (PA) 74
Colorado (CO) 32 Michigan (MI) 60 Rhode Island (RI) 10
Connecticut (CT) 31 Minnesota (MN) 40 South Carolina (SC) 22
Delaware (DE) 5 Mississippi (MS) 16 South Dakota (SD) 5
District of Columbia (DC)
2 Missouri (MO) 46 Tennessee (TN) 22
Florida (FL) 84 Montana (MT) 4 Texas (TX) 94
Georgia (GA) 50 Nebraska (NE) 16 Utah (UT) 14
Hawaii (HI) 6 Nevada (NV) 8 Vermont (VT) 7
Idaho (ID) 6 New Hampshire (NH) 12 Virginia (VA) 36
Illinois (IL) 95 New Jersey (NJ) 73 Washington (WA) 31
Indiana (IN) 25 New Mexico (NM) 17 West Virginia (WV) 10
Iowa (IA) 11 New York (NY) 211 Wisconsin (WI) 44
Kansas (KS) 22 North Carolina (NC) 49 Wyoming (WY) 6
Total 1,806
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36. (cont’d) In what state is your primary employment FACILITY located? Use standard post office two-letter code (e.g., ID for
Idaho). Analyses limited to respondents who met the following criteria:
CCC-SLP Employed full time or part time
Region/Division
Facility Type
All Facility Types
(n = 1,806)
Special Day/
Residential (n = 68)
Preschool (n = 224)
Elementary
(n = 1,025) Secondary (n ≥ 255)
Student’s Home
(n ≥ 30)
Admin. Office
(n = 34)
Combina-tion
(n ≥ 149)
Northeast 27.0 48.5 29.5 23.0 33.2 35.5 17.6 30.9
Middle Atlantic 19.8 35.3 21.4 16.7 23.5 33.3 14.7 24.0
New England 7.3 13.2 7.6 6.3 9.8 3.3 2.9 6.7
Midwest 23.9 16.2 26.8 25.5 21.9 32.3 20.6 18.1
East North Central
15.7 13.2 13.4 17.8 14.5 20.0 11.8 11.3
West North Central
8.2 2.9 13.4 7.6 7.5 13.3 8.8 6.7
South 30.8 23.5 21.9 34.2 27.0 16.1 50.0 28.9
East South Central
4.4 0.0 2.2 6.0 3.1 0.0 5.9 2.0
South Atlantic 16.7 19.1 14.3 16.9 16.9 10.0 17.6 18.7
West South Central
9.7 5.9 5.4 11.4 6.7 3.3 26.5 8.7
West 18.2 11.8 21.9 17.3 18.0 16.1 11.8 22.1
Mountain 6.4 2.9 4.9 7.2 3.9 0.0 11.8 7.3
Pacific 11.8 7.4 17.4 10.1 14.1 16.7 0.0 14.7
Statistical significance: FOR 4 REGIONS: χ2(18) = 56.0, p = .000, Cramer’s V = .102 FOR 9 DIVISIONS: Too many cells (25%) have an expected count of less than 5.
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37. Identify the degrees you have earned. Count only actual degrees-not equivalencies or certificates-and do not include degrees expected but not yet conferred. Select all that apply. (Percentages)
Analyses limited to respondents who met the following criterion: CCC-SLP
Degree
Facility Type
All Facility Types
(n = 1,887)
Special Day/
Residential (n = 68)
Preschool (n = 225)
Elementary
(n = 1,024) Secondary (n = 253)
Student’s Home
(n = 30)
Admin. Office
(n = 36)
Combina-tion
(n = 150)
Master’s 98.5 97.1 98.7 99.1 97.2 100.0 86.1 100.0
PhD 0.5 2.9 0.0 0.3 0.8 0.0 2.8 0.0
AuD 0.1 0.0 0.0 0.2 0.0 0.0 0.0 0.0
Other doctorate 0.9 0.0 1.3 0.4 2.0 0.0 11.1 0.0
Too many cells (71%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Highest Degree
Master’s 98.5 97.1 98.7 99.1 97.2 100.0 86.1 100.0
Doctorate 1.5 2.9 1.3 0.9 2.8 0.0 13.9 0.0
Too many cells (43%) have an expected count of less than 5. Conclusion: Too little data are available in some facility categories to test whether responses vary by facility type.
Note. AuD = doctor of audiology; PhD = doctor of philosophy.
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38. How many years (a) have you been employed in the audiology or speech-language pathology profession, and (b) how many of those years were in schools? Round to the nearest full year. Enter “0” if you have never been employed in the professions.
Analyses limited to respondents who met the following criteria: CCC-SLP Response greater than 0
Years
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
(a) Total Years in the Professions
n = 1,826 n = 66 n = 215 n = 993 n = 247 n = 29 n = 33 n = 148
25th percentile 9.0 6.0 8.0 9.0 10.0 8.3 17.1 10.0
50th percentile (Median)
17.0 15.0 15.0 16.0 18.0 15.9 26.0 17.0
75th percentile 25.0 23.0 24.0 25.0 27.5 28.6 35.5 27.0
Mean 18.1 15.7 16.6 17.5 19.4 18.1 25.4 18.9
Standard deviation 10.7 10.5 10.4 10.5 10.7 11.3 10.9 10.3
Mode 18.0 5.0 5.0 20.0 15.0 16.0 26.0 10.0
Statistical significance: F(6, 1723) = 5.1, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
(Question 38 continues on next page.)
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38. (cont’d) How many years (a) have you been employed in the audiology or speech-language pathology profession, and (b) how many of those years were in schools? Round to the nearest full year. Enter “0” if you have never been employed in the professions.
Analyses limited to respondents who met the following criteria: CCC-SLP Response greater than 0
Years
Facility Type
All Facility Types
Special Day/
Residential Preschool Elementary Secondary Student’s
Home Admin. Office
Combina-tion
(b) Total Years in the Schools
n = 1,821 n = 67 n = 217 n = 994 n = 245 n = 24 n = 35 n = 143
25th percentile 7.0 5.6 6.0 7.0 8.0
(n < 25)
16.0 9.0
50th percentile (Median)
13.7 12.4 12.0 13.0 14.0 26.0 15.0
75th percentile 21.0 18.0 20.0 20.0 22.0 35.0 21.8
Mean 15.4 13.4 14.0 14.9 15.9 24.4 15.8
Standard deviation 10.0 9.4 9.3 9.9 9.9 10.4 9.8
Mode 6.0 6.0 5.0 6.0 15.0 35.0 10.0
Statistical significance: F(6, 1717) = 6.6, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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39. How much unpaid student debt do you have? Enter “0” if none. Analyses limited to respondents who met the following criteria:
CCC-SLP Student debt of at least $1
Debt Amount
Facility Type
All Facility Types
(n = 509)
Special Day/
Residential (n = 32)
Preschool (n = 64)
Elementary
(n = 304) Secondary
(n = 50)
Student’s Home
(n = 11)
Admin. Office (n = 6)
Combina-tion
(n = 31)
25th percentile $15,000 $25,000 $12,000 $14,000 $21,956
(n < 25) (n < 25)
$20,000
50th percentile (Median)
$30,000 $50,963 $20,109 $31,408 $40,955 $32,488
75th percentile $60,000 $65,000 $55,739 $55,000 $100,000 $50,478
Mean $41,860 $51,024 $35,688 $37,985 $71,856 $41,471
Standard deviation $38,289 $32,536 $35,179 $29,530 $72,848 $31,215
Mode $30,000 $65,000 $10,000 $30,000 $25,000 $30,000
Statistical significance: F(6, 490) = 7.0, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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40. In what year were you born? (Note: data were converted to age.) Analyses limited to respondents who met the following criterion:
CCC-SLP
Age
Facility Type
All Facility Types
(n = 1,883)
Special Day/
Residential (n = 68)
Preschool (n = 222)
Elementary
(n = 1,024) Secondary (n = 254)
Student’s Home
(n = 30)
Admin. Office
(n = 35)
Combina-tion
(n = 148)
25th percentile 35.0 31 34 34 37 32 45 38
50th percentile (Median)
44.0 40 43 43 46 42 53 47
75th percentile 55.0 52 51 53 56 57 59 56
Mean 44.9 42 43 44 46 44 51 47
Standard deviation 11.7 11 11 11 11 13 11 11
Mode 43.0 31 48 28 46 29 59 38
Statistical significance: F(6, 1773) = 5.6, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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41. In what year do you think you are most likely to retire from the profession? Analyses limited to respondents who met the following criterion:
CCC-SLP
Retirement
Facility Type
All Facility Types
(n = 1,714)
Special Day/
Residential (n = 65)
Preschool (n = 202)
Elementary
(n = 938) Secondary (n = 222)
Student’s Home
(n = 30)
Admin. Office
(n = 34)
Combina-tion
(n = 133)
25th percentile 2022 2027 2025 2023 2021 2020 2016 2021
50th percentile (Median)
2030 2037 2034 2031 2030 2031 2020 2028
75th percentile 2040 2045 2041 2040 2039 2046 2031 2036
Mean 2032 2036 2033 2032 2031 2034 2024 2030
Standard deviation 11 11 10 11 11 14 10 10
Mode 2030 2040 2036 2030 2036 2046 2016 2026
Statistical significance: F(6, 1616) = 6.8, p = .000 Conclusion: There is adequate evidence from the data to say that the responses vary by facility type.
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Appendix
Summary Report Statistics
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Statistics used in this summary report include the following notations and descriptions:
Notation Description
Response rate
The percentage of individuals who were included in the sample, minus any who were ineligible RR = (C + P) S – (Ret + I) Where RR = Response rate C = Number of completed surveys P = Number of partial surveys S = Sample size Ret = Ineligible because of retirement I = Ineligible for other reasons (e.g., does not work in schools, no longer in the field, on leave of absence) RR = 2108 = 47.4% 4503 – (21 + 32)
n The number in the sample. In this report, the number of people who answered a particular question.
Mean A measure of central tendency; an average. Add the total of all the values and divide by the number of items. Example: (1 + 1 + 7 + 34 + 88) / 5 = 26.2
Standard deviation
A statistic that shows the spread of scores in a distribution. Used with means. The larger the standard deviation, the more widely the scores are spread out around the mean.1 About 68% of the measurement is between 1 standard deviation greater than and 1 standard deviation smaller than the mean; 95% are plus/minus 2 standard deviations. Example: (1 + 1 + 7 + 34 + 88) Standard deviation = 37.1 Therefore, 68% of the responses are between -10.9 and 63.3
Median A measure of central tendency. Arrange the values in order, from lowest to highest. Select the value in the middle position.
Example: 1, 1, 7, 34, 88 Median = 7
Appendix table continues on next page.
7/6/16
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Notation Description
Mode A measure of central tendency; an average. The value that occurs more frequently than any other value.
Example: 1, 1, 7, 34, 88 Mode = 1
Statistical significance
Describes whether a value is larger or smaller than would be expected by chance alone. Note that a large sample size can lead to results that are “statistically significant” even though the results themselves may not have substantive or practical significance. This is particularly true for chi-square (χ2) tests.1
Chi-square (χ2)
A test used to assess the statistical significance of a finding where the variables being assessed are nominal (e.g., annual salary and hourly salary) or ordinal (e.g., excellent, good, fair, and poor). It measures whether there are statistically significant differences between the observed frequencies and the expected frequencies of two variables. The larger the observed frequency is in comparison with the expected frequency, the larger the χ2 statistic and the more likely the difference is statistically significant. When the sample size is large, large χ2 values (that is, ones that that are statistically significant) can be obtained even for weak associations.1
Cramer’s V A measure of the strength of the association, used with χ2 statistics to identify the meaningfulness of a relationship. The χ2 value may be large with a small probability (p < .05) of having occurred by chance. That is, it is “statistically significant at the .05 level.” Cramer’s V is a measure of how strong (practically important) the relationship is between the variables. The larger the Cramer’s V, the stronger the association.
ANOVA (F) F is the statistic computed when conducting an analysis of variance (ANOVA). Analysis of variance measures the differences between means on two or more variables. It is used when independent variables are categorical and a dependent variable is continuous.1
p Probability. Found in expressions such as p = .003 meaning “The probability that this result could have been produced by chance is 1 in 3/1000ths. The smaller the number, the less likely that the result was due to chance. The p value is the actual probability associated with an obtained statistical result, such as χ2 or F.1
df Degrees of freedom. The number of values that are free to vary when computing a statistic. Used in interpreting both a χ2 and an F ratio. It is calculated in a cross-tabulation as (R – 1) (C – 1) or (the number of rows minus 1) times (the number of columns minus 1). In a 3 × 4 table, df would be 6.
1 Vogt, W. P. (1993). Dictionary of statistics and methodology. Newbury Park, CA: Sage.