Design effects: model-based versus design-based approach
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Mannheim
GESIS
2010
|
| Series: | GESIS-Schriftenreihe
Bd. 3 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | 175 S. graph. Darst. 24 cm |
| ISBN: | 9783868190106 |
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| adam_text |
Titel: Design effects
Autor: Ganninger, Matthias
Jahr: 2010
Contents
List of Symbols . 9
List of Tables and Figures. 11
Preface. 17
1 Introduction. 19
2 Technical Foundations. 23
2.1 Sample Designs. 23
2.1.1 Cluster Sampling and Multi-Stage Sampling. 25
2.1.2 Stratified Sampling. 27
2.2 Estimators. 27
2.3 Elements of Design Effects. 29
2.4 Illustration and Motivation. 30
3 Design Effects. 35
3.1 A Classical View on Design Effects. 35
3.2 Areas of Application. 39
3.3 Two Approaches to Design Effects . 40
3.3.1 Design-based Approach to Design Effects. 40
3.3.1.1 Taylor Linearisation. 41
3.3.1.2 The Jackknife Method. 42
3.3.2 Model-based Approach to Design Effects. 43
4 Measures of Homogeneity . 47
4.1 Overview of Estimation Methods . 47
4.2 Estimators for continuous data. 49
4.2.1 ANOVA Estimator and F-statistic based Estimators. 49
4.2.2 Estimators based on Random Effects Models. 50
4.3 Dichotomous Variables. 51
4.3.1 Classical ANOVA Estimator. 52
4.3.2 Estimators based on Moments. 52
4.3.3 Direct Estimation of Correlation Structure . 54
4.3.4 Estimators Based on Random Effects Models. 55
5 Monte Carlo Simulation Studies. 59
5.1 Generation and Structure of Universes. 59
5.1.1 Geographically Clustered Universes. 59
5.1.2 Universes with a Nested Structure. 60
5.2 Aim and Design of the Monte Carlo Simulation Studies. 61
5.2.1 Simulation Strategy. 62
5.3 Monte Cario Estimation of the True Design Effect. 63
5.3.1 Continuous Data. 64
5.3.1.1 Two-Stage Cluster Sampling with equal Cluster Sizes. 64
5.3.1.2 Two-Stage Cluster Sampling with unequal Cluster Sizes . 67
5.3.1.3 Comparison of Two-Stage Cluster Sampling with equal and un-
equal Cluster Sizes . 69
5.3.2 Binary Data. 72
5.3.2.1 Two Stage Cluster Sampling with equal Cluster Sizes . 72
5.3.2.2 Two Stage Cluster Sampling with unequal Cluster Sizes. 73
5.3.2.3 Comparison of Two-Stage Cluster Sampling with equal and un-
equal Cluster Sizes . 74
5.3.3 Comparing Estimation of the Monte Carlo estimated True Design
Effect with Continuous and with Binary Data. 74
5.4 Design-based Estimation of the Design Effect. 75
5.4.1 Continuous Data. 76
5.4.1.1 Cluster Sampling with equal Cluster Sizes. 76
5.4.1.2 Cluster Sampling with unequal Cluster Sizes. 78
5.4.1.3 Comparison of Two-Stage Cluster Sampling with equal and un-
equal Cluster Sizes . 78
5.4.1.4 Variance Estimation under Cluster Sampling assuming SRS . 80
5.4.2 Estimation of the Design Effect for the Median. 84
5.4.3 Dichotomous Data. 86
5.4.3.1 Cluster Sampling with equal Cluster Sizes. 86
5.4.3.2 Cluster Sampling with unequal Cluster Sizes. 87
5.4.3.3 Comparison of Two-Stage Cluster Sampling with equal and un-
equal Cluster Sizes . 88
5.5 Model-based Estimation of the Design Effect. 90
5.5.1 Estimation of p with Continuous Data. 91
5.5.1.1 Two-Stage Cluster Sampling with equal Cluster Sizes. 91
5.5.1.2 Two-Stage Cluster Sampling with unequal Cluster Sizes . 94
5.5.1.3 Comparison of Cluster Sampling with equal and unequal Cluster
Sizes. 96
5.5.2 Estimation of p with Binary Data. 97
5.5.2.1 Two-Stage Cluster Sampling with equal Cluster Sizes. 97
5.5.2.2 Two-Stage Cluster Sampling with unequal Cluster Sizes . 100
5.5.2.3 Comparison of Cluster Sampling with equal and unequal Cluster
Sizes. 102
5.6 Comparison of Estimation Strategies. 1°4
5.6.1 Continuous Data. 105
5.6.1.1 Cluster Sampling with equal Cluster Sizes. 105
5.6.1.2 Cluster Sampling with unequal Cluster Sizes. 106
5.6.2 Binary Data. 106
5.6.2.1 Cluster Sampling with equal Cluster Sizes. 107
5.6.2.2 Ouster Sampling with unequal Cluster Sizes. 1°8
5.7 Decomposition of Design and Interviewer Effects. 109
5.7.1 Estimation of Intraclass Correlation with Nested Data. 110
5.7.1.1 Equal cluster sizes. Ill
5.7.1.2 Unequal Cluster Sizes. 112
5.7.2 Variance Decomposition. 113
5.7.2.1 Equal Cluster Sizes. 113
5.7.2.2 Unequal Cluster Sizes. 114
5.7.2.3 Comparison of Cluster Sampling with equal and unequal Cluster
Sizes. 115
6 Estimation of Design Effects in the European Social Survey. 119
6.1 Aim and overall Design of the ESS. 119
6.2 Using the Model-based Approach to predict required sample sizes 120
6.3 Sample Designs in selected Countries . 120
6.3.1 Spain. 121
6.3.2 France. 122
6.3.3 Poland. 124
6.3.4 Finland. 125
6.4 Estimation of Design Effects in the ESS. 127
6.4.1 Estimation of p . 128
6.4.2 Design-based and Model-based Estimation of the Design Effect. 134
7 Summary. 137
7.1 Concept of Design Effects. 137
7.2 Use in Complex Sample Surveys. 138
7.3 Estimation of Design Effects and their Components . 138
Bibliography. 141
Appendix. 149
Zusammenfassung der Dissertation. 173
Ausbildungs- und Studienverlauf. 175 |
| any_adam_object | 1 |
| author | Ganninger, Matthias 1980- |
| author_GND | (DE-588)141707917 |
| author_facet | Ganninger, Matthias 1980- |
| author_role | aut |
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| building | Verbundindex |
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| dewey-full | 519.57 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.57 |
| dewey-search | 519.57 |
| dewey-sort | 3519.57 |
| dewey-tens | 510 - Mathematics |
| discipline | Soziologie Mathematik |
| format | Thesis Book |
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| isbn | 9783868190106 |
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| spelling | Ganninger, Matthias 1980- Verfasser (DE-588)141707917 aut Design effects model-based versus design-based approach Matthias Ganninger. GESIS - Leibnitz-Institut für Sozialwissenschaften Mannheim GESIS 2010 175 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier GESIS-Schriftenreihe Bd. 3 Zugl.: Trier, Univ., Diss., 2009 Europäische Union (DE-588)5098525-5 gnd rswk-swf Schätztheorie (DE-588)4121608-8 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Europäische Union (DE-588)5098525-5 b Stichprobe (DE-588)4057502-0 s Schätztheorie (DE-588)4121608-8 s DE-604 GESIS-Schriftenreihe Bd. 3 (DE-604)BV035993645 3 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020578199&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ganninger, Matthias 1980- Design effects model-based versus design-based approach GESIS-Schriftenreihe Europäische Union (DE-588)5098525-5 gnd Schätztheorie (DE-588)4121608-8 gnd Stichprobe (DE-588)4057502-0 gnd |
| subject_GND | (DE-588)5098525-5 (DE-588)4121608-8 (DE-588)4057502-0 (DE-588)4113937-9 |
| title | Design effects model-based versus design-based approach |
| title_auth | Design effects model-based versus design-based approach |
| title_exact_search | Design effects model-based versus design-based approach |
| title_full | Design effects model-based versus design-based approach Matthias Ganninger. GESIS - Leibnitz-Institut für Sozialwissenschaften |
| title_fullStr | Design effects model-based versus design-based approach Matthias Ganninger. GESIS - Leibnitz-Institut für Sozialwissenschaften |
| title_full_unstemmed | Design effects model-based versus design-based approach Matthias Ganninger. GESIS - Leibnitz-Institut für Sozialwissenschaften |
| title_short | Design effects |
| title_sort | design effects model based versus design based approach |
| title_sub | model-based versus design-based approach |
| topic | Europäische Union (DE-588)5098525-5 gnd Schätztheorie (DE-588)4121608-8 gnd Stichprobe (DE-588)4057502-0 gnd |
| topic_facet | Europäische Union Schätztheorie Stichprobe Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020578199&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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