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Analyzing COSF Data in Support of System Validity. Margy Hornback (KS) Birth-5 Marybeth Wells (ID) Section 619. Charles R. Greenwood & Dale Walker. - PowerPoint PPT Presentation
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Analyzing COSF Data in Analyzing COSF Data in Support of System ValiditySupport of System Validity
Analyzing COSF Data in Analyzing COSF Data in Support of System ValiditySupport of System Validity
Charles R. Greenwood & Dale Walker
Some of these data are published in Greenwood, C. R., Walker, D., Hornback, M., Nelson, C., Hebbeler, K., & Spiker, D. (2007). Progress developing the Kansas Early Childhood Special Education Accountability System: Initial findings using the ECO Child Outcome Summary Form (COSF). Topics Early Childhood Special Education, 27(1), 2-18.
Margy Hornback (KS) Birth-5Marybeth Wells (ID) Section 619
http://www.fpg.unc.edu/~ECO/
2
Purpose of this PresentationPurpose of this Presentation
Demonstrate analyses of COSF data
Point out how analyses inform the validity of the State’s OSEP accountability system
Help States conduct similar analyses
3
Validity of an Accountability SystemValidity of an Accountability System
An accountability system can be said to have validity when evidence is judged to be strong enough to support inferences that: The components of the system are aligned to
the purposes, and are working in harmony to help the system accomplish those purposes
The system is accomplishing what was intended (and not what was not intended) (Marion et al., 2002, pg. 105)
4
The Validity of an Accountability The Validity of an Accountability SystemSystem
Requires answers to a number of logical questions demonstrating that the parts of the system are working in harmony as planned
Validity is improved by improving the quality and integrity of the parts in the system
Validity requires continued monitoring and improvement
5
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
1. The Anchor Indicators used in the COSF Process are Mapped via a Cross-walk to the OSEP Outcomes Have the Anchor Indicators been
cross-walked to the 3 OSEP outcomes?
Do the Anchor Indicators have evidence of validity and reliability?
6
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
2. The COSF Process Involves Multiple Participants and Sources of Evidence Are multiple adults participating in the
process? Are parents participating in the
process? Are multiple sources of evidence being
used?
7
Team Roles Make UpTeam Roles Make UpRoles less than 3% Collapsed to OtherRoles less than 3% Collapsed to Other
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Parents and RatingsParents and Ratings
How many children have a parent providing the rating 731 out of 2388 (31%)
Other Family Members? Foster Parent = 10 Grandparent = 12 Advocate = 5 Baby Sitter = 2
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Evidence Sources Reported in One Evidence Sources Reported in One District (Part B)District (Part B)
10
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
3. COSF Ratings Should Display Differences Between Children’s Performance Is the distribution of COSF ratings
normally distributed? Are fewer children scored 1 and 7,
and more children scored 3, 4, and 5?
11
0.0
5.0
10.0
15.0
20.0
25.0
1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7
COSF Rating
Pe
rce
nta
ge
Part B Social Knowledge & Skills Meets Needs
Kansas – Part BKansas – Part B
12
Idaho – Part BIdaho – Part B
13
0.0
5.0
10.0
15.0
20.0
25.0
1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7
COSF Rating
Pe
rcen
tage
Part C Social Knowledge & Skills Meets Needs
Kansas – Part CKansas – Part C
14
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
4. OSEP Outcomes are Defined Functionally, Therefore, They Should be Highly Inter-correlated Are the three outcomes highly inter-
correlated? Does each outcome contribute unique
information?
Correlations Between Entry OutcomesCorrelations Between Entry Outcomes
State and Part
Pair ID (B)KS (B) KS (C)
Know vs Meets
.726 .732 .633
Social vs Meets
.799 .743 .620
Know vs Social
.782 .774 .758
N Children 1003 1280 1108
Entry Correlations When Controlling Entry Correlations When Controlling for the Third Outcomefor the Third Outcome
Control For Pair
ID (B)
KS (B)KS (C)
Social Know vs. Meets
.270 .371 .320
Know-ledge
Social vs. Meets
.540 .408 .276
MeetsNeeds
Know vs. Social
.488 .505 .602
N Children 1003 1280 1108
What is the commonality of shared variance in What is the commonality of shared variance in the entry Part B Social Outcome in ID?the entry Part B Social Outcome in ID?
Predictors R2
Knowledge 61%
Meets Needs 64%
Knowledge, Meets Needs 72%
Predictor/Partition Knowledge Meets Needs
Knowledge 9%
Meets Needs 11%
Knowledge, Meets Needs 53% 53%
Unique 9% 11%
Common 53% 53%
Total 61% 64%
Shared Variance in Social
Formulas for Unique and Commonality Components of Shared Variance:
U1 = R2(12) – R2(2); U2 = R2(12) – R2(1); C12 = R2(1) + R2(2) – R2(12)(Thompson, 2006 (pg 279)
18
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
5. COSF ratings should be at least moderately (not strongly) correlated with the anchor-primary assessment measure What is the concurrent validity
correlation with the primary assessment measure?
Is there a linear, increasing relationship between ratings and mean test scores?
19
Mean
Correlation between COSF Outcome Ratings And BDI
Domain ScoresSocial vs. PerSocial = .65Knowledge vs. Cognitive = .62 Meets Needs vs. Adaptive = .61
BDI Domain Means by COSF Rating BDI Domain Means by COSF Rating
20
By Anchor Test (ID)By Anchor Test (ID)
21
By Anchor Tests in KSBy Anchor Tests in KS
22
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
6. COSF Ratings Should Not Be Affected by Conditions in the State’s COSF Process Are there differences by region or
program? Are there differences due to use of
different Anchor tests? Are there differences due to quality or
intensity of training/fidelity in the COSF process?
23
District ComparisonDistrict Comparison
DistID
92 23.8 23.8 23.8
68 17.6 17.6 41.5
75 19.4 19.4 60.9
52 13.5 13.5 74.4
50 13.0 13.0 87.3
49 12.7 12.7 100.0
386 100.0 100.0
D0229
D0233
D0259
D0512
D0602
D0620
Total
ValidFrequency Percent Valid Percent
CumulativePercent
24
District ComparisonDistrict Comparison
25
Evidence Use Profiles Evidence Use Profiles
for 3 largest Part C for 3 largest Part C EntitiesEntities
C0016
C0033Z0042
26
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
7. Theoretically, We Might Expect COSF Ratings to be Influenced by Differences in Sociodemographics Are there differences in COSF ratings due to
type of disability? Are boys rated lower than girls on the Social
Outcome? (boys tend to have more behavior problems than girls)
Are English Language Learners rated lower on the Knowledge and Skills Outcome?
Do these variables explain significant variance in COSF Outcome at Entry and Exit?
27
By Gender (ID)By Gender (ID)
28
By Disability (ID)By Disability (ID)
29
By Race (ID)By Race (ID)
30
How much variance in entry rating do How much variance in entry rating do demographic variables explain?demographic variables explain?
Social Outcome Model Summary
.424a .180 .179 1.542 .180 219.042 1 1001 .000
.430b .185 .183 1.538 .005 6.643 1 1000 .010
Model1
2
R R SquareAdjustedR Square
Std. Error ofthe Estimate
R SquareChange F Change df1 df2 Sig. F Change
Change Statistics
Predictors: (Constant), Disability typea.
Predictors: (Constant), Disability type, Gendercodedb.
Social Outcome "Best" Model Summary
.799a .638 .638 1.024 .638 1764.829 1 1001 .000
.851b .724 .724 .894 .086 313.333 1 1000 .000
.854c .729 .728 .888 .004 15.431 1 999 .000
.854d .730 .729 .886 .001 5.177 1 998 .023
Model1
2
3
4
R R SquareAdjustedR Square
Std. Error ofthe Estimate
R SquareChange F Change df1 df2 Sig. F Change
Change Statistics
Predictors: (Constant), Meets Needs Outcomea.
Predictors: (Constant), Meets Needs Outcome, Knowledge & Skills Outcomeb.
Predictors: (Constant), Meets Needs Outcome, Knowledge & Skills Outcome, Disability typec.
Predictors: (Constant), Meets Needs Outcome, Knowledge & Skills Outcome, Disability type, Racecodedd.
31
COSF Validity Questions and COSF Validity Questions and EvidenceEvidence
8. Theoretically, We Expect COSF Ratings Will Be Sensitive to Growth and Early Intervention Over Time Are COSF exit rating distributions skewed
to the right, indicating children scoring higher at exit compared to entry?
Are there gains in COSF ratings when comparing entry to exit?
Are these gains statistically significant, and what are the effect sizes?
32
Sample KS Entry and Exit DataSample KS Entry and Exit Data
Part
8 7.5 7.5 7.5
98 92.5 92.5 100.0
106 100.0 100.0
Part B
Part C
Total
ValidFrequency Percent Valid Percent
CumulativePercent
ProgramEntryType
113 98.3 99.1 99.1
1 .9 .9 100.0
114 99.1 100.0
1 .9
115 100.0
Part B - EC-SPED Team
Transition Team (PartsB & C)
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
Sample ID Entry and Exit DataSample ID Entry and Exit Data
33
What growth is evident?What growth is evident?
KS IDKS ID
34
What growth is evident: KS?What growth is evident: KS?
Statistics
106 106 106 106 106 106
0 0 0 0 0 0
5.00 6.00 5.00 6.00 5.00 6.00
-.760 -1.175 -.377 -.959 -.761 -1.339
.235 .235 .235 .235 .235 .235
-.072 1.142 -.680 .398 -.244 1.707
.465 .465 .465 .465 .465 .465
1 1 1 1 1 1
7 7 7 7 7 7
Valid
Missing
N
Median
Skewness
Std. Error of Skewness
Kurtosis
Std. Error of Kurtosis
Minimum
Maximum
Entry-Social Exit-SocialEntry-
KnowledgeExit-
KnowledgeEntry-Meets
NeedsExit-Meets
Needs
Statistics
115 115 115 115 115 115
0 0 0 0 0 0
4.00 5.00 3.00 5.00 4.00 6.00
.383 -.749 .541 -.472 .053 -1.129
.226 .226 .226 .226 .226 .226
-.621 .218 -.314 -.192 -1.148 .789
.447 .447 .447 .447 .447 .447
1 1 1 1 1 1
7 7 7 7 7 7
Valid
Missing
N
Median
Skewness
Std. Error of Skewness
Kurtosis
Std. Error of Kurtosis
Minimum
Maximum
EntrySocial ExitSocialEntry
KnowlegeExit
KnowledgeEntryMeets
NeedsExitMeets
Needs
What growth is evident: ID?What growth is evident: ID?
35
What GAIN in Rating: KS?What GAIN in Rating: KS?
What GAIN in Rating: ID?What GAIN in Rating: ID?
Descriptive Statistics
115 -1.0 4.0 1.435 1.0852
115 .0 5.0 1.678 1.0966
115 -1.0 5.0 1.322 1.2179
115
gainSocial
gainKnowledge
gainMeetsNeeds
Valid N (listwise)
N Minimum Maximum Mean Std. Deviation
Descriptive Statistics
106 -4.00 5.00 .8208 1.34375
106 -3.00 5.00 .9528 1.48889
106 -4.00 5.00 .8302 1.51483
106
gainSocial
gainKnow
gainMeets
Valid N (listwise)
N Minimum Maximum Mean Std. Deviation
36
What growth is evident: KS?What growth is evident: KS?
Descriptive Statistics
106 5.01 1.636 1 7
106 4.58 1.707 1 7
106 5.08 1.616 1 7
106 5.83 1.320 1 7
106 5.53 1.422 1 7
106 5.92 1.296 1 7
Entry-Social
Entry-Knowledge
Entry-Meets Needs
Exit-Social
Exit-Knowledge
Exit-Meets Needs
N Mean Std. Deviation Minimum Maximum
Test Statisticsb
-5.752a -5.840a -5.021a
.000 .000 .000
Z
Asymp. Sig. (2-tailed)
Exit-Social -Entry-Social
Exit-Knowledge -
Entry-Knowledge
Exit-MeetsNeeds -
Entry-MeetsNeeds
Based on negative ranks.a.
Wilcoxon Signed Ranks Testb.
37
What growth is evident: ID?What growth is evident: ID?
Descriptive Statistics
115 3.75 1.594 1 7
115 3.33 1.485 1 7
115 4.35 1.722 1 7
115 5.18 1.374 1 7
115 5.01 1.392 1 7
115 5.67 1.394 1 7
EntrySocial
EntryKnowlege
EntryMeetsNeeds
ExitSocial
ExitKnowledge
ExitMeetsNeeds
N Mean Std. Deviation Minimum Maximum
Test Statisticsb
-8.367a -8.720a -7.855a
.000 .000 .000
Z
Asymp. Sig. (2-tailed)
ExitSocial -EntrySocial
ExitKnowledge -
EntryKnowlege
ExitMeetsNeeds -
EntryMeetsNeeds
Based on negative ranks.a.
Wilcoxon Signed Ranks Testb.
38
Change in Social Distribution: KSChange in Social Distribution: KS
39
Change in Social Distribution: IDChange in Social Distribution: ID
40
Change in Knowledge Distribution: KSChange in Knowledge Distribution: KS
41
Change in Knowledge Distribution: IDChange in Knowledge Distribution: ID
42
Change in Meets Needs Distribution: KSChange in Meets Needs Distribution: KS
43
Change in Meets Needs Distribution: IDChange in Meets Needs Distribution: ID
44
What do the OSEP outcome category What do the OSEP outcome category results look like?results look like?
OSEPSocial
12 10.4 10.4 10.4
51 44.3 44.3 54.8
35 30.4 30.4 85.2
17 14.8 14.8 100.0
115 100.0 100.0
b
c
d
e
Total
ValidFrequency Percent Valid Percent
CumulativePercent
OSEPKnow
12 10.4 10.4 10.4
60 52.2 52.2 62.6
34 29.6 29.6 92.2
9 7.8 7.8 100.0
115 100.0 100.0
b
c
d
e
Total
ValidFrequency Percent Valid Percent
CumulativePercent
OSEPMeets
11 9.6 9.6 9.6
29 25.2 25.2 34.8
43 37.4 37.4 72.2
32 27.8 27.8 100.0
115 100.0 100.0
b
c
d
e
Total
ValidFrequency Percent Valid Percent
CumulativePercent
OSEP Category Definition Codesa: Children who did not improve functioningb: Children who improved functioning but not sufficient to move nearer to functioning comparable to same age peersc : Children who improved functioning to a level nearer to same-aged peers but did not reach it d: Children who improved functioning to reach a level comparable to same-aged peerse: Children who maintained functioning at a level comparable to same-aged peers
Note: There were no Cat a. children
45
A State’s OSEP Outcome A State’s OSEP Outcome DistributionsDistributions
46
COSF New Skills Coding Error to COSF New Skills Coding Error to CheckCheck Yes or No and the New Skills Question?
No Means no new skills acquired, no can not be
associated with ratings that go up from entry to exit (e.g., 3 to 4 always = yes)
Yes Means new skills were acquired and in COST 7 to 6 (child means child is still typical) 2 to 2, 3 to 3, etc (staying the same rating in
COSF = yes, new skills acquired) http://www.fpg.unc.edu/~ECO/pdfs/Summar
y_of_Rules_COSF_to_OSEP_8-9-07.pdf
47
COSF Validity Questions and COSF Validity Questions and Evidence (Future Inquiry)Evidence (Future Inquiry)
9 Theoretically, We Expect Gains in COSF Exit Ratings to be Explained by Early Intervention Factors Are gains in COSF ratings explained by
length of service? Are gains in COSF ratings explained by
intervention/program quality features (e.g., models, evidence-based practice, etc.)?
Are gains in COSF ratings explained by family outcomes?
48
ConclusionConclusion
9 validity questions and supporting COSF evidence were discussed
Such analyses help establish and maintain a state’s OSEP accountability system
Evidence from two states appears to support the COSF process as a valid approach
More work is needed, we need to know more from more states!
For More Information see: For More Information see: http://www.fpg.unc.edu/~ECO/http://www.fpg.unc.edu/~ECO/
For More Information see: For More Information see: http://www.fpg.unc.edu/~ECO/http://www.fpg.unc.edu/~ECO/