Estimation of average total effects in quasi-experimental designs: nonlinear constraints in structural equation models
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| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
2010
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXII, 245 Bl. graph. Darst. 31 cm 1 CD-R |
Internformat
MARC
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| 003 | DE-604 | ||
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| 100 | 1 | |a Kröhne, Joachim Ulf |d 1977- |e Verfasser |0 (DE-588)143395114 |4 aut | |
| 245 | 1 | 0 | |a Estimation of average total effects in quasi-experimental designs |b nonlinear constraints in structural equation models |c von Joachim Ulf Kröhne |
| 264 | 1 | |c 2010 | |
| 300 | |a XXII, 245 Bl. |b graph. Darst. |c 31 cm |e 1 CD-R | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |a Jena, Univ., Diss., 2010 | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-021130966 | ||
Datensatz im Suchindex
| _version_ | 1804143816592064512 |
|---|---|
| adam_text | CONTENTS
ABSTRACT
IV
ACKNOWLEDGEMENTS
XI
LIST
OF
FIGURES,
TABLES
AND
LISTINGS
XVI
1
INTRODUCTION
1
1.1
THEORY
OF
CAUSAL
EFFECTS
...............................................................................................................
2
1.1.1
TRUE
OUTCOME
VARIABLES
...................................................................................................
2
1.1.2
TRUE
AND
CONDITIONAL
TOTAL
EFFECTS
...................................................................................
4
1.1.3
AVERAGE
TOTAL
EFFECTS
........................................................................................................
4
1.1.4
PRIMA
FACIE
EFFECTS
AND
BIASES
.........................................................................................
5
1.1.5
UNBIASEDNESS
...................................................................................................................
6
1.1.6
CAUSALITY
CONDITIONS
.........................................................................................................
7
1.1.7
SELECTION
OF
COVARIATES
......................................................................................................
10
1.1.8
ADJUSTING
AND
FUNCTIONAL
FORM
ASSUMPTION
...................................................................
11
1.1.9
SINGLE-UNIT
TRIAL
AND
SAMPLING
........................................................................................
14
1.2
GENERALIZED
ANALYSIS
OF
COVARIANCE
............................................................................................
16
1.3
SUMMARY
AND
OUTLOOK
..................................................................................................................
17
2
ADJUSTMENT
IN
QUASI-EXPERIMENTAL
DESIGNS
20
2.1
EXAMPLE
FOR
A
QUASI-EXPERIMENTAL
TREATMENT
EVALUATION
.........................................................
20
2.2
REVIEW
OF
ADJUSTMENT
METHODS
....................................................................................................
24
2.2.1
TRADITIONAL
ANALYSIS
OF
COVARIANCE
....................................................................................
25
2.2.2
ANALYSIS
OF
COVARIANCE
WITHOUT
LINEARITY
.........................................................................
26
2.2.3
MODERATED
REGRESSION
AND
MEAN-CENTERING
....................................................................
27
2.2.4
PREDICTION
/
REGRESSION
ESTIMATES
....................................................................................
28
XII
CONTENTS
XIII
2.3
METHODS
BASED
ON
PROPENSITY
SCORE
.............................................................................................
30
2.3.1
PROPENSITY
SCORE
SUBCLASSIFICATION
...................................................................................
33
2.3.2
INVERSE-PROPENSITY
WEIGHTING
...........................................................................................
34
2.3.3
PROPENSITY
SCORE
MATCHING
.......................................................................
36
2.3.4
PROPENSITY
SCORE
ANCOVA
.................................................................................................
38
2.4
COMBINED
METHODS
....................................................................................................................
38
2.4.1
GAINING
EFFICIENCY
............................................................................................................
38
2.4.2
DOUBLE
ROBUSTNESS
............................................................................................................
39
2.5
PRACTICAL
ISSUES
CONCERNING
THE
ADJUSTMENT
..............................................................................
39
2.5.1
BALANCING
CHECK
..............................................................................................................
40
2.5.2
REGRESSION
DIAGNOSTIC
.......................................................................................................
41
2.5.3
OVERLAP,
COMMON SUPPORT
&
EXTRAPOLATION
...................................................................
42
2.5.4
UNMEASURED
CONFOUNDERS
...............................................................................................
43
2.5.5
MEASUREMENT
ERROR
............................................................................................................
43
2.5.6
ROBUSTNESS
AGAINST
MISSPECIFICATIONS
OF
THE
FUNCTIONAL
FORM
ASSUMPTION
...................
45
2.6
PERFORMANCE
OF
THE
ADJUSTMENT
METHODS
IN
THE
EXAMPLE
........................................................
45
2.7
SUMMARY
AND
CONCLUSION
............................................................................................................
47
3
IMPLEMENTATION
OF
GENERALIZED
ANALYSIS
OF
COVARIANCE
49
3.1
INTRODUCTION
.................................................................................................................................
49
3.1.1
COVARIATE-TREATMENT
INTERACTIONS
...................................................................................
49
3.1.2
HETEROGENEITY
OF
RESIDUAL
VARIANCES
AND
HETEROSCEDASTICITY
.........................................
51
3.1.3
STOCHASTICITY
OF
REGRESSORS
..............................................................................................
53
3.1.4
SUMMARY
AND
OUTLINE
......................................................................................................
55
3.2
GENERAL
LINEAR
MODEL
.................................................................................................................
55
3.2.1
INTRODUCTION
......................................................................................................................
56
3.2.2
ASSUMPTIONS
......................................................................................................................
56
3.2.3
GENERAL
LINEAR
HYPOTHESIS
..............................................................................................
60
3.2.4
INFERENCE
BASED
ON
THE
CONDITIONAL
VARIANCE
OF
THE
EFFECT
FUNCTION
.............................
62
3.2.5
UNCONDITIONAL
INFERENCE
ABOUT
THE
AVERAGE
TOTAL
EFFECT
..............................................
YY
67
3.2.6
SUMMARY
............................................................................................................................
72
3.3
STRUCTURAL
EQUATION
MODELING
......................................................................................................
73
3.3.1
INTRODUCTION
.......................................................................................................................
73
CONTENTS
XIV
3.3.2
TESTING
NONLINEAR
CONSTRAINTS
IN
STRUCTURAL
EQUATION
MODELS
........................................
76
3.3.3
SPECIFICATION
OF
MULTI-GROUP
STRUCTURAL
EQUATION
MODELS
.............................................
81
3.3.4
SPECIFICATION
OF
SINGLE
GROUP
STRUCTURAL
EQUATION
MODELS
.............................................
92
3.4
SUMMARY
AND
RESEARCH
QUESTIONS
...............................................................................................
99
3.4.1
IGNORING
THE
STOCHASTICITY
OF
................................................................................................
101
3.4.2
ROBUSTNESS
TO
HETEROGENEITY
OF
RESIDUAL
VARIANCE
...........................................................
101
3.4.3
ACCURACY
OF
THE
ESTIMATED
ASYMPTOTIC
VARIANCE-COVARIANCE
MATRICES
............................
102
3.4.4
IGNORING
THE
STOCHASTICITY
OF
X
...........................................................................................
103
3.4.5
ASSUMPTION
OF
UNCORRELATED
PARAMETER
ESTIMATES
..........................................................
103
3.4.6
REGRESSION
ESTIMATE
AND
PREDICTIVE
SIMULATION
................................................................
104
3.4.7
SAMPLE
SIZE
REQUIREMENTS
AND
MODEL
COMPARISON
...........................................................
104
4
SIMULATION
STUDY
105
4.1
INTRODUCTION
....................................................................................................................................
105
4.2
DATA
GENERATION
...............................................................................................................................
105
4.2.1
ASSIGNMENT
MODEL
...............................................................................................................
106
4.2.2
OUTCOME
MODEL
....................................................................................................................
107
4.3
DESIGN
OF
THE
SIMULATION
STUDIES
....................................................................................................
110
4.4
DEPENDENT
MEASURES
.......................................................................................................................
113
4.4.1
BIAS
OF
THE
ATE-ESTIMATOR
.........................................................................................................
113
4.4.2
RELATIVE
BIAS
OF
THE
STANDARD
ERROR
OF
THE
ATE-ESTIMATOR
..................................................
113
4.4.3
TYPE-I-ERROR
RATE
FOR
TESTING
HO
:
ATE
=0
............................................................................
114
4.4.4
STATISTICAL
POWER
FOR
TESTING
ATE
=
0
...................................................................................
114
4.4.5
FURTHER
MEASURES
.................................................................................................................
115
4.5
RESULTS
FOR
THE
GENERAL
LINEAR
MODEL
...........................................................................................
115
4.5.1
GENERAL
LINEAR
HYPOTHESIS
AND
MEAN-CENTERING
.............................................................
116
4.5.2
HETEROSCEDASTICITY
CONSISTENT
ESTIMATOR
...........................................................................
130
4.5.3
REGRESSION
ESTIMATES
...........................................................................................................
135
4.5.4
PREDICTIVE
SIMULATION
........................................................................................................
141
4.5.5
SUMMARY
..............................................................................................................................
144
4.6
RESULTS
FOR
THE
STRUCTURAL
EQUATION
MODELS
UNDER
HOMOGENEITY
OF
RESIDUAL
VARIANCE
.............
145
4.6.1
SIMPLE
MULTI-GROUP
MODEL
................................................................................................
145
4.6.2
SIMPLE
SINGLE
GROUP
MODEL
................................................................................................
153
CONTENTS
XV
4.6.3
SUMMARY
..............................................................................................................................
162
4.7
RESULTS
OF
STRUCTURAL
EQUATION
MODELS
UNDER
HETEROGENEITY
OF
RESIDUAL
VARIANCES
......................
163
4.7.1
ELABORATED
SINGLE
GROUP
MODEL
........................................................................................
163
4.7.2
ELABORATED
MULTI-GROUP
MODEL
...........................................................................................
173
4.7.3
APPROXIMATED
MULTI-GROUP
MODEL
.....................................................................................
181
4.7.4
SUMMARY
............................................................................................................................
....
4.8
MODEL
COMPARISON
..........................................................................................................................
186
4.8.1
SMALL
SAMPLE
BEHAVIOR
OF
THE
ADJUSTMENT
METHODS
............................................................
187
4.8.2
SAMPLE
SIZE
REQUIREMENTS
FOR
APPROPRIATE
STATISTICAL
POWER
............................................
195
5
SUMMARY
AND
GENERAL
DISCUSSION
199
5.1
SUMMARY
OF
THE
THEORETICAL
CONSIDERATIONS
.................................................................................
199
5.2
SUMMARY
OF
THE
RESULTS
OF
THE
SIMULATION
STUDY
............................................................................
204
5.2.1
IGNORING
THE
STOCHASTICITY
OF
COVARIATE
(Z)
AND
TREATMENT
VARIABLE
...........................
204
5.2.2
ROBUSTNESS
TO
HETEROGENEITY
OF
RESIDUAL
VARIANCES
............................................................
206
5.2.3
ASYMPTOTIC
VARIANCES
AND
COVARIANCE
.................................................................................
207
5.2.4
REGRESSION
ESTIMATE
AND
PREDICTIVE
SIMULATION
.................................................................
208
5.2.5
SAMPLE
SIZE
REQUIREMENTS
AND
MODEL
COMPARISON
...........................................................
208
5.3
GENERAL
CONCLUSIONS
.......................................................................................................................
209
5.4
LIMITATIONS
AND
FURTHER
RESEARCH
.................................................................................................
211
5.4.1
LIMITATIONS
OF
THE
CURRENT
RESEARCH
....................................................................................
211
5.4.2
FURTHER
EXTENSIONS
AND
SUBSEQUENT
RESEARCH
QUESTIONS
...................................................
214
5.5
PRACTICAL
RECOMMENDATIONS
...........................................................................................................
218
5.5.1
GENERAL
LINEAR
HYPOTHESIS
AND
MEAN-CENTERING
...............................................................
218
5.5.2
STRUCTURAL
EQUATION
MODELS
WITH
NONLINEAR
CONSTRAINTS
....................................................
219
BIBLIOGRAPHY
221
APPENDIX
245
|
| any_adam_object | 1 |
| author | Kröhne, Joachim Ulf 1977- |
| author_GND | (DE-588)143395114 |
| author_facet | Kröhne, Joachim Ulf 1977- |
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| discipline | Psychologie Mathematik |
| format | Thesis Book |
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| id | DE-604.BV037217011 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:53:40Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-021130966 |
| oclc_num | 711810319 |
| open_access_boolean | |
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| physical | XXII, 245 Bl. graph. Darst. 31 cm 1 CD-R |
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| spelling | Kröhne, Joachim Ulf 1977- Verfasser (DE-588)143395114 aut Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models von Joachim Ulf Kröhne 2010 XXII, 245 Bl. graph. Darst. 31 cm 1 CD-R txt rdacontent n rdamedia nc rdacarrier Jena, Univ., Diss., 2010 Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf Kovarianzanalyse (DE-588)4197017-2 gnd rswk-swf Kausalmodell (DE-588)4123496-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Kausalmodell (DE-588)4123496-0 s Kovarianzanalyse (DE-588)4197017-2 s Strukturgleichungsmodell (DE-588)4252999-2 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021130966&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kröhne, Joachim Ulf 1977- Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models Strukturgleichungsmodell (DE-588)4252999-2 gnd Kovarianzanalyse (DE-588)4197017-2 gnd Kausalmodell (DE-588)4123496-0 gnd |
| subject_GND | (DE-588)4252999-2 (DE-588)4197017-2 (DE-588)4123496-0 (DE-588)4113937-9 |
| title | Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models |
| title_auth | Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models |
| title_exact_search | Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models |
| title_full | Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models von Joachim Ulf Kröhne |
| title_fullStr | Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models von Joachim Ulf Kröhne |
| title_full_unstemmed | Estimation of average total effects in quasi-experimental designs nonlinear constraints in structural equation models von Joachim Ulf Kröhne |
| title_short | Estimation of average total effects in quasi-experimental designs |
| title_sort | estimation of average total effects in quasi experimental designs nonlinear constraints in structural equation models |
| title_sub | nonlinear constraints in structural equation models |
| topic | Strukturgleichungsmodell (DE-588)4252999-2 gnd Kovarianzanalyse (DE-588)4197017-2 gnd Kausalmodell (DE-588)4123496-0 gnd |
| topic_facet | Strukturgleichungsmodell Kovarianzanalyse Kausalmodell Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021130966&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT krohnejoachimulf estimationofaveragetotaleffectsinquasiexperimentaldesignsnonlinearconstraintsinstructuralequationmodels |