prepared by steven h. shaha, phd, dba

16
PD 360 Impact Assessment: Initial Findings regarding the Impact of PD 360 on Student Proficiency Rates Prepared by Steven H. Shaha, PhD, DBA 1

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PD 360 Impact Assessment: Initial Findings regarding the Impact of PD 360 on Student Proficiency Rates. Prepared by Steven H. Shaha, PhD, DBA. Overarching Research Question:. Does teacher engagement i n PD 360 and Observation 360, tools within the Educator E ffectiveness S ystem , - PowerPoint PPT Presentation

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Page 1: Prepared by Steven H. Shaha, PhD, DBA

PD 360 Impact Assessment:Initial Findings regarding the

Impact of PD 360 on Student Proficiency Rates

Prepared by Steven H. Shaha, PhD, DBA

1

Page 2: Prepared by Steven H. Shaha, PhD, DBA

Overarching Research Question:

Does teacher engagement in PD 360 and Observation 360,

tools within the Educator Effectiveness System,

significantly affect student success?

Does teacher engagement in PD 360 and Observation 360,

tools within the Educator Effectiveness System,

significantly affect student success?

2

Page 3: Prepared by Steven H. Shaha, PhD, DBA

Methods

• Design: Quasi-experimental, retrospective, pre-post, normalized treatment-control / participation vs. non-participation (2009-10, 2010-11)

• Goal: Multi-State, large n with comparable student populations (matched, controlled)

• Student Change:* Metric was percent students classified as Proficient or Advanced in respective States.

3

Page 4: Prepared by Steven H. Shaha, PhD, DBA

SampleParticipation

– Systematic sample of 187 schools in 8 States• N determined by a priori Power analysis

– Schools eligible for inclusion in the sample as participating Schools met the following criteria:

• More than 10 teachers total• 80% or more of teachers viewed materials• Minimum average of 90.0 minutes of viewing per teacher for the school

– Districts included were only those for which eligible schools were included• Normalizing for difference in socio-economic and demographic factors between participating Schools and their

Districts cumulatively as the statistical comparison group

Data– Participation data were extracted from the Internet-based professional development

application as surveilled– Student performance data were captured from publically available, Internet-accessed

sources (school as unit of measure, percent Proficient or Advanced as metric)

4

Page 5: Prepared by Steven H. Shaha, PhD, DBA

5

Sample Demographics State

State

TXTNMNKYFLCOAZAK

Pe

rce

nt

30

20

10

0

School Level

107 57.2 57.2 57.2

29 15.5 15.5 72.7

29 15.5 15.5 88.2

14 7.5 7.5 95.7

7 3.7 3.7 99.5

1 .5 .5 100.0

187 100.0 100.0

Elementary

Middle - JH (incl 6-8)

El-Mid (e.g. K-8)

High School

Mid-Hi (e.g. 6-12)

El-High (e.g. K-12)

Total

ValidFrequency Percent Valid Percent

CumulativePercent

• Eight States• 187 Schools

Improvements in Proficiency Rates Correlated with PD 360

Page 6: Prepared by Steven H. Shaha, PhD, DBA

Metrics for Differentiating Advantages for Higher Engagement Organizations:

• Focus Objectives Set Up• Observations Performed• Percent Registered Users• Percent of Users in Communities

• Minutes Viewed• Forums Viewed• Programs Viewed• Segments Viewed• Links Viewed

• Follow-up Questions Answered• Reflection Questions Answered• Focus Objectives Set Up• Forums Posted• Downloaded Files• Uploaded Files• Participation in Communities

Leadership, Implementation

and Accountability

Leadership, Implementation

and Accountability

Educator Participation

Educator Participation

Educator Engagement

Educator Engagement

These are the 15 metrics for which higher engagement schools were significantly higher than their lower engagement counterpartsThese are the 15 metrics for which higher engagement schools were significantly higher than their lower engagement counterparts

Page 7: Prepared by Steven H. Shaha, PhD, DBA

PD 360 Impact AssessmentPD 360 Impact AssessmentExecutive Summary: Initial FindingsExecutive Summary: Initial Findings

• Statistically significant and resounding advantages were identified favoring schools with PD 360.

• The higher the quantified utilization, the greater the statistical advantage.– High utilization led to performance advantages ranging

from twicefrom twice to 15 timesto 15 times the gains in proficiency rates versus district averages (p<.01 and p<.001, respectively).

– Low utilization led to gains in proficiency rates from 10% from 10%

to twice to twice the district averages (p<.01 and p<.001, respectively).

7

Page 8: Prepared by Steven H. Shaha, PhD, DBA

Improvements in Proficiency Rates Correlated with PD 360

0.00

0.50

1.00

1.50

2.00

2.50

3.00

School Math Change School Reading Change

Comparative Change forLow vs. High Utilization

Low Utilization

High Utilization

Districts Average

Low Utilization

High Utilization

Districts Average

Percent Advantage for High vs.

Low Utilization

Statistical Significance

School Math Change 1.18 2.54 0.16 115.3% p<.001 2.2times greater improvement

School Reading Change 1.22 2.13 1.12 74.4% p<.001 1.7times greater improvement

An advantage of:

High Utilization results in more the TWICE the gains in Math proficiency rates than does Low Utilization (p<.001)

High Utilization results in nearly TWICE the gains in Reading proficiency rates than does Low Utilization (p<.001)

High Utilizers Outperformed all othersHigh Utilizers Outperformed all others

But even low utilizers outperformed no PD 360

8

Page 9: Prepared by Steven H. Shaha, PhD, DBA

0.00

0.50

1.00

1.50

2.00

2.50

3.00

Math Change Reading Change

Axi

s Ti

tle

Comparative Change forHigh Utilization vs. Districts Average

High Utilization Schools

Districts Average

High Utilization

SchoolsDistricts Average

Percent Advantage

Statistical Significance

Math Change 2.54 0.16 1484.7% p<.001 15.8times greater improvement

Reading Change 2.13 1.12 90.6% p<.001 1.9times greater improvement

An advantage of:

High Utilization results in more the FIFTEEN times the gains in Math proficiency rates than the Districts average (p<.001)

High Utilization results in nearly TWICE the gains in Reading proficiency rates than the Districts average (p<.001)

High Utilizers High Utilizers outperformed no PD 360

15.8 times greater gains in Math vs. District

90.6% greater gains in Reading vs. District

9

Improvements in Proficiency Rates Correlated with PD 360

Page 10: Prepared by Steven H. Shaha, PhD, DBA

0.00

0.20

0.40

0.60

0.80

1.00

1.20

1.40

Math Change Reading Change

Comparative Change forLow Utilization vs. Districts Average

Low Utilization Schools

Districts Average

Low Utilization results in more the SEVEN times the gains in Math proficiency rates than the Districts average (p<.001)

Low Utilization results in nearly 10% greater gains in Reading proficiency rates than the Districts average (p<.01)

But even Low Utilizers Low Utilizers outperformed no PD 360

7.4 times greater gains in Math vs. District

9.3% greater gains in Reading vs. District

Low Utilization

SchoolsDistricts Average

Percent Advantage

Statistical Significance

Math Change 1.18 0.16 636.1% p<.001 7.4times greater improvement

Reading Change 1.22 1.12 9.3% p<.01 1.1times greater improvement

An advantage of:

10

Improvements in Proficiency Rates Correlated with PD 360

Page 11: Prepared by Steven H. Shaha, PhD, DBA

High Min/User Schools

Districts Average

Percent Advantage

Statistical Significance

Math Change 1.91 0.16 1096.6% p<.001 12.0times greater improvement

Reading Change 1.92 1.12 71.5% p<.001 1.7times greater improvement

An advantage of:

0.00

0.50

1.00

1.50

2.00

2.50

Math Change Reading Change

Comparative Change forHigh Min/User Schools vs. Districts

High Min/User Schools

Districts Average

High Minutes per User result in more the TWELVE times the gains in Math proficiency rates than Districts avg. (p<.001)

High Minutes per User result in nearly TWICE the gains in Reading proficiency rates than the Districts average (p<.001)

More Minutes per User More Minutes per User resulted in Higher Performance

12.0 times greater gains in Math vs. District

71.5% greater gains in Reading vs. District

11

Improvements in Proficiency Rates Correlated with PD 360

Page 12: Prepared by Steven H. Shaha, PhD, DBA

0.000.200.400.600.801.001.201.401.601.80

Math Change Reading Change

Comparative Change forLow Min/User Schools vs. Districts

Low Min/User Schools

Districts Average

Low Min/User Schools

Districts Average

Percent Advantage

Statistical Significance

Math Change 1.67 0.16 943.4% p<.001 10.4times greater improvement

Reading Change 1.49 1.12 32.8% p<.001 1.3times greater improvement

An advantage of:

Low Minutes per User result in more the TEN times the gains in Math proficiency rates than the Districts average (p<.001)

Low Minutes per User result in more than 30% greater gains in Reading proficiency rates than the Districts average (p<.001)

But even Low Minutes per User Low Minutes per User outperformed no PD 360

10.4 times greater gains in Math vs. District

32.8% greater gains in Reading vs. District

12

Improvements in Proficiency Rates Correlated with PD 360

Page 13: Prepared by Steven H. Shaha, PhD, DBA

High Pct of Users that

Viewed Schools

Districts Average

Percent Advantage

Statistical Significance

Math Change 2.17 0.16 1254.2% p<.001 13.5times greater improvement

Reading Change 2.19 1.12 95.8% p<.001 2.0times greater improvement

An advantage of:

0.00

0.50

1.00

1.50

2.00

2.50

Math Change Reading Change

Comparative Change forHigh Pct Viewer Schools vs. Districts

High Pct of Users that Viewed Schools

Districts Average

High Percentage of Users that Viewed resulted in more the THIRTEEN times the gains in Math proficiency rates than the Districts average (p<.001)

High Pct of Users that Viewed resulted in TWICE the gains in Reading proficiency rates than the Districts average (p<.001)

Higher percentage of Viewers Higher percentage of Viewers resulted in Higher Performance

13.5 times greater gains in Math vs. District

95.8% greater gains in Reading vs. District

13

Improvements in Proficiency Rates Correlated with PD 360

Page 14: Prepared by Steven H. Shaha, PhD, DBA

0.00

0.20

0.40

0.60

0.80

1.00

1.20

1.40

1.60

Math Change Reading Change

Comparative Change forLow Pct Viewer Schools vs. Districts

Low Pct of Users that Viewed Schools

Districts Average

Low Pct of Users that

Viewed Schools

Districts Average

Percent Advantage

Statistical Significance

Math Change 1.50 0.16 836.5% p<.001 9.4times greater improvement

Reading Change 1.38 1.12 23.6% p<.001 1.2times greater improvement

An advantage of:

Low Percent of Users that Viewed resulted in more the NINE times the gains in Math proficiency rates than the Districts average (p<.001)

Low Percent of Users that Viewed resulted in more than 20% greater gains in Reading proficiency rates than the Districts average (p<.001)

But even Low percentage of Viewers Low percentage of Viewers outperformed no PD 360

9.4 times greater gains in Math vs. District

23.6% greater gains in Reading vs. District

14

Improvements in Proficiency Rates Correlated with PD 360

Page 15: Prepared by Steven H. Shaha, PhD, DBA

0.00

0.50

1.00

1.50

2.00

2.50

Math Change Reading Change

Comparative Change forSchools with High # of Viewers vs.

Districts

High Pct of Users that Viewed Schools

Districts Average

High Number of Users that

Viewed Schools

Districts Average

Percent Advantage

Statistical Significance

Math Change 2.14 0.16 1237.1% p<.001 13.4times greater improvement

Reading Change 2.16 1.12 92.5% p<.001 1.9times greater improvement

An advantage of:

High Number of Users that Viewed resulted in more the THIRTEEN times the gains in Math proficiency rates than the Districts average (p<.001)

High Number of Users that Viewed resulted in nearly TWICE the gains in Reading proficiency rates than the Districts average (p<.001)

More Viewers More Viewers resulted in Higher Performance

13.4 times greater gains in Math vs. District

92.5% greater gains in Reading vs. District

15

Improvements in Proficiency Rates Correlated with PD 360

Page 16: Prepared by Steven H. Shaha, PhD, DBA

0.000.200.400.600.801.001.201.401.601.80

Math Change Reading Change

Comparative Change forSchools with Low # of Viewers vs.

Districts

Low Number of Users that Viewed Schools

Districts Average

Low Number of Users that

Viewed Schools

Districts Average

Percent Advantage

Statistical Significance

Math Change 1.55 0.16 870.0% p<.001 9.7times greater improvement

Reading Change 1.47 1.12 31.6% p<.001 1.3times greater improvement

An advantage of:

Low Number of Users that Viewed resulted in nearly TEN times the gains in Math proficiency rates than the Districts average (p<.001)

Low Number of Users that Viewed resulted in more than 30% greater gains in Reading proficiency rates than the Districts average (p<.001)

But even fewer viewers outperformed no PD 360

9.7 times greater gains in Math vs. District

31.6% greater gains in Reading vs. District

16

Improvements in Proficiency Rates Correlated with PD 360