csli service learning – final meeting, fall 2011
DESCRIPTION
CSLI Service Learning – Final Meeting, Fall 2011. Review the process Review the findings Analyze - Hypotheses. Review the process – 1. Evaluate the CSLI process Review – what exactly did CSLI do? Generated questionnaire Oriented students in intro meeting - PowerPoint PPT PresentationTRANSCRIPT
CSLI Service Learning – Final Meeting, Fall
2011Review the processReview the findings
Analyze - Hypotheses
Evaluate the CSLI process◦ Review – what exactly did CSLI do?
Generated questionnaire Oriented students in intro meeting
Reviewed questionnaire with students Reviewed nature of surveys/sampling
Trained students in telephone/marking instructions Conducted telephone interviews
Target at least 400 completions Accomplished – 487 completions
Issue and post on Web site – press release forthcoming Expect coverage in major media –Capital
Review the process – 1
Questionnaire issues – initial contact ◦ Was the opening statement OK?◦ Hello, I’m a student calling from Anne Arundel Community College whose
Center for the Study of Local Issues is conducting a survey on issues affecting Anne Arundel County Residents. Would you please take a few minutes to complete this survey
◦ Suggestions?
Review the process -2
Questionnaire issues - questions- Did any specific questions give you more problems than
others? Clarity Public constantly asked for restatement Vagueness of what is being asked
◦ Did the respondents seem to think that the questions were generally interesting?
◦ Did the respondents think that the survey was too long or short?
◦ Other suggestions?
Review the process - 3
Public receptivity Were you surprised by how easy/hard it was to obtain a
completion? Problems with phone numbers? Idle chatter from respondents? Bias among interviewers? Partial completions? Other suggestions
Review the process - 4
Positives edging lower in fall 20111
Sp '99
Fa '99
Sp '00
Fa '00
Sp '01
Fa '01
Sp '02
Fa '02
Sp '03
Fa '03
Sp '04
Fa '04
Sp '05
Fa '05
Sp '06
Fa '06
Sp '07
Fa '07
Sp '08
Fa '08
Sp '09
Fa '09
Sp '10
Fa '10
Sp '11
Fa '11
0
10
20
30
40
50
60
70
2327 25 24 23
15
2621
25
3431
2429 27 26
29 27
33 32 3128 27 28 28 28
32
20 19 1720
1519
1418
13 1512
19 18 16 18 20 2116 17 17
2521 20
23 22 22
5754
5855
6266
60 61 62
51
58 5853
57 5551 52 51 50 52
4752 52
49 50 47
Wrong Unsure Right
County: Right or Wrong Direction? Spring ‘99 to Fall ‘11
Most Important Problem Fall 2006 to Fall 2011
'06 '07 '07 '08 ‘08 '09 ‘09 ‘10 ‘10 ‘11 ‘11Fall Spring Fall Spring Fall Spring Fall Spring Fall Spring Fall
0
10
20
30
40
50
60
712
8
23
38
48
3336 36 35
48
9
1517 16
1210
12 1113
119
21
16 16
129
5 5 52
4 4
16
12 12 1210
8 7 8 9 10
5
12 11 12
7 64 5 6 6
35
119 10
64
68
6 6 687
96
97 8
10 108
12
8
17 1619
15 1411
21
17
2119
13
Economy High taxes Growth EducationTransportation Crime Unsure/NA Other
Economy shows sharp rise as problem in Oct. 2011
County – Economic Conditions vs. State and USA
Federal State County-5
5
15
25
35
45
55
5
27
46
11
30
48
11
31
44
11
32
45
11
35
49
9
33
48
S '09 S '09
S '09
S '10
S '10
S '10
S '11
S '02
F '02
S '03
F '03
S '04
F '04
S '05
F '05
S '06
F '06
S '07
F '07
S '08
F '08
S '09
F '09
S '10
F '10
S '11
F '11
0
10
20
30
40
50
60
70
80
38
26 2722
343431 28
3842
3227
17
5 5 10 11 11 13 9
74 76
56 5662
7474 71 74 71 71 69
5549 46 48
444549 48
9
“Thinking about our county's economy, how would you rate economic conditions in Anne Arundel County today -- excellent, good, only fair, or poor?” (Total percentage saying excellent and good)
Gallup - USA
CSLI - AA County
General economic conditions – % saying ‘applies’
Facing
the p
ossibi
lity of
unem
ploym
ent
Signifi
cant lo
sses in
your
stock
or ret
iremen
t acco
unts
Facing
the p
ossibi
lity of
house
forec
losure
or lo
ss
Delay i
n maki
ng a m
ajor p
urcha
se suc
h as a
home o
r car
Health
care
insura
nce is
unav
ailabl
e, too
expen
sive o
r inad
equate
01020304050607080
116
35
15
71
4
3024
75
6
51
2924
70
8
46
33
19
56
7
47
32
21
60
7
4434
20
52
9
47
35
21
60
8
51
32
S '08 F '08 S '09 F '09 S '10 F '10 S '11 F '11
Economic costs, inflation: % saying ‘applies’
Unable
to fin
d afford
able
housin
g
Wages o
r sala
ries a
re not
rising
as fa
st as th
e cost
of liv
ing
Hard to
afford
the c
ost of
transp
ortati
on
Hard to
afford
the c
ost of
utilit
ies su
ch as
electr
icity o
r gas
Taxes
are to
o high
in rel
ation
to go
vernm
ent se
rvices
provi
ded0
10
20
30
40
50
60
70
21
56
40
61
11
59
32
5058
12
55
21
5359
13
55
17
42
59
15
56
21
44
63
10
56
24
43
60
14
63
4146
63
11
59
3039
58
S '08 F '08 S '09 F '09 S '10 F '10 S '11 F '11
% saying ‘applies’ sorted by Std. Deviation
Condition
Spring ‘08
Fall ‘08
Spring ‘09
Fall‘09
Spring ‘10
Fall‘10
Spring
‘ 11
Fall ‘11
Spring ’11- Fall ’10
Std. Dev.
Hard to afford cost of transportation 40 32 21 17 21 24 41 30 -11 8.42Significant losses in your stock or retirement accounts n.a. 71 75 70 56 60 52 60 8 7.96Hard to afford cost of utilities such as electricity or gas 61 50 53 42 44 43 46 39 -7 6.67Facing the possibility of unemployment 11 15 24 24 19 21 20 21 1 4.15Unable to find affordable housing 21 11 12 13 15 10 14 11 -3 3.28Wages or salaries are not rising as fast as the cost of living 56 59 55 55 56 56 63 59 -4 2.6Delay in making a major purchase such as a home or car n.a. n.a. 51 46 47 44 47 51 4 2.56Hard to afford cost of taxes* 47 58 59 59 63 60 63 58 -5 2Health care insurance is unavailable, too expensive or inadequate 35 30 29 33 32 34 35 32 -3 1.96Facing the possibility of house foreclosure or loss 6 4 6 8 7 7 9 8 -1 1.45
Economic conditions: Found job, got income increase
County residents vs. AACC students
05
1015202530
14
2618
27
County Students
Consumer confidence: County vs. students
Econo
mic grow
th
Unemplo
ymen
t
Inflati
on
Your
perso
nal fi
nanci
al situ
ation
0
10
20
30
40
50
60
25 25
11
2020 20
5
33
4237
30
54
44
36
27
44
2834
54
22
29
36
50
13
Better County Better Students Same County Same Students Worse County Worse Students
Better
Same
WorseBet-ter Better
Same
Same
Same
Worse Worse WorseBetter
Inflation forecast =>
Better Same Worse
Those saying worse regarding…
Economic growth 12 16 40
Unemployment 15 21 47
Your personal financial situation 2 14 32
Inflation as key indicator of overall pessimism…
Perceptions of MD and AAC dealing with economic downturn: County vs. students
State of Maryland Anne Arundel County0
10
20
30
40
50
60
3236
2529
46 46
5753
1410
72
7 711
16
Better County Better Students Same County Same StudentsWorse County Worse Students Unsure County Unsure Students
BetterBet-ter
Same Same
Worse Wors
eUnsureUnsure
Earthquake: Where were you and was there a plan?
% at this location Plan No Plan Plan Unclear Unsure/NA0
10
20
30
40
50
60
70
80
90
38
18
79
2 1
34 34
61
513
31
46
158
25
12
69
5
14
HomeWorkSchoolSomewhere else
Students: 29% home;18% work; 22% school; 29% somewhere else
Students at school: 33% Plan; 44% No plan; 22% Plan unclear
Method % Saying used
Successful
Not successf
ul
Other/No answer
County Students
Mobile phone 66 71 40 55 5Text message 42 78 57 30 14Land line telephone 40 17 45 37 18Email 25 9 27 41 32Social media 19 49 25 40 35
Earthquake - communication: Method, Success
Earthquake: Follow-up method
TV Internet Radio “News” Mobile phone Text messages
Social media Word of mouth
0
5
10
15
20
25
30
35
40
45
50
45
25
13
8
3 2 2 1
EQ: Follow-up method by location
Overall Home Work School Somewhere else0
10
20
30
40
50
60
25
14
42
29
14
45
57
28
14
42
13
6
15 14
26
3 46
14
58
12
4
14
42 1 2
03
14
1
14
42 2 1 0
3
InternetTVRadioMobile phone“News”Text messagesWord of mouthSocial media
Yes No No answer TotalDamage from storms 24 75 -- 99Satisfaction with insurer (N=114)
33 30 38 101
Storms: Damage? Sat. w/ Insur.
Length of outage PercentageUnder 24 hours 241 to 2 days 203 to 4 days 315 to 6 days 19More than 6 days 6Total 100
Power outage: Duration for 66% who experienced an outage
Percentages saying “Yes”Overall No outage Under
24 hours
1 to 2
days
3 to 4
days
5 to 6 days
More than
6 days
Was BGE effective after hurricanes hit the area P<.01
67 63 89 71 68 53 53
Did BGE do all it could to lower the impact before hurricanes hit P<.03
52 53 64 50 50 39 50
BGE Effectiveness
Proposal Support
Oppose
Unsure/NA
Increase the toll on the Bay Bridge from $2.50 to $4.00
33 64 4
Create a new tax on ownership of vehicles
10 86 4
Increase the state’s property tax, adding $63 million to the fund
11 86 3
Increase the corporate income tax rate by one percent, adding $100 million to the fund
57 39 4
Support for Proposals meant to Replenish Maryland’s Transportation Trust Fund
Presidential job approval
Fall '06 Spring '07
Fall '07 Spring '08
Fall '08 Spring '09
Fall '09 Spring '10
Fall '10 Spring '11
Fall '110
10
20
30
40
50
60
70
3934 35
2824
5347 47
4247
373733 32 30
25
61
54
4743
47
40
CSLI Gallup
Presidential Job Approval by Party Registration
F '09 S '10 F '10 S '11 F '110
10
20
30
40
50
60
70
80
47 4742
47
37
72 70
61
7067
17
24 2418
7
54 53
33
57
47OverallDemocratsRepublicansUnaffiliated
Trust in Political Parties – Spring 2009 to Fall 2011
Spring Fall Spring Fall Spring Fall2009 2010 2011
0
5
10
15
20
25
30
35
40
4542
3733 34 34
313028
31
37
3230
20
27
31
21
2932
86 6
8
47
Democrats Republicans Neither No opinion
Exercise: Develop Hypotheses1. Identify a dependent variable – attitude, preference
2. Identify an independent variable – a social/demographic characteristic
3. Specify a likely relationship between the two based on a “theory” or hunch
you have about people and attitudes
Test Hypotheses using SPSS1. Login2. Go to CSLI Web site: http://www2.aacc.edu/csli3. Double click on CSLI_Fall_2011_Data.sav4. Weight the dataset /data/weight cases/weight cases by Weight5. Cross-tabs - /Analyze/Descriptive Statistics/Crosstabs6. Find Income75– click once on it to select it then use arrow to place in
columns box7. Find ‘v4.2’ or ‘v4.3’ – click once to select it then use arrow to place in rows box 8. Click on “cells” and then click on Percentages “columns” then OK9. Click on “statistics” and then click on Nominal “Phi and Cramer’s V” OK10.Click on OK in main crosstabs dialog box11.Check results: Did a higher percentage of under $75k agree with “unemployment”
than those over $75k?” Were the results statistically significant – were the Phi and Cramer’s V values under the column “Approx. Sig” under .05?
12.If the answer is yes to both these questions, then it is possible that your hypothesis is correct – you have disproved the ‘null hypothesis” 13. Try it again with the “significant losses in stocks and retirement accounts” variable (v4.3)14. Continue with other hypotheses15. In the last 10 minutes, we will go around the room asking you to tell us your most interesting finding