Applications of multilevel analysis in survey data quality research: Random coefficient models for respondent and interviewer effects
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Leuven
2000
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| Schriftenreihe: | Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen
50 : Departement Sociologie |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Leuven, Kathol. Univ., Diss. |
| Beschreibung: | 204 S. |
Internformat
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| 100 | 1 | |a Pickery, Jan |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Applications of multilevel analysis in survey data quality research |b Random coefficient models for respondent and interviewer effects |c Jan Pickery |
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| 490 | 1 | |a Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen |v 50 : Departement Sociologie | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Introduction 1
Chapter 1. An Overview of Applications of Multilevel Analysis
in the Social Sciences 5
1.1. Introduction 5
1.2. Regular applications 5
1.2.1. Applications in education research 6
1.2.2. Other regular applications 7
1.3. Multilevel analysis as an appropriate reflection of a
research design 9
1.3.1. Longitudinal analysis with a multilevel model 9
1.3.2. Multivariate models 12
1.3.3. Meta analysis 12
1.4. Existing applications in the field of survey data quality 13
1.5. Conclusion 17
Chapter 2. The Multilevel Model for Respondent and Interviewer
Effects on Survey Data 19
2.1. Introduction 19
2.2. A general multilevel model for respondent and interviewer
effects 20
2.3. Estimation 23
2.4. Additional topics 24
2.4.1. Centring of predictor variables 24
2.4.2. Explained variance 25
2.5. An example 25
2.6. Evaluation of assumptions and influential units 35
2.7. Assessment of the interviewers 42
2.8. Conclusion 47
Chapter 3. Sample Size Implications for Multilevel Models 49
3.1. Introduction 49
3.2. Overview of previous findings 50
3.3. An illustrative simulation 53
3.3.1. Simulation set up 5 3
3.3.2. Estimation 57
3.3.3. Standard errors of the parameters 5 9
3.3.3.1. Intercept 59
3.3.3.2. Age 60
3.3.3.3. Time_interviewer 61
3.3.3.4. Level 2 variance of the intercept 62
3.3.3.5. Level 2 covariance of both interviewer residuals 63
3.3.3.6. Level 2 variance of the slope 64
3.3.3.7. Level 1 variance 64
3.3.4. Additions to the simulation set up 65
3.3.4.1. Parameter values 66
3.3.4.2. Log likelihood 70
3.3.5. Conclusions of the simulation and links with other texts 72
3.4. Conclusion 73
Chapter 4. The Interviewer and Unit nonresponse 75
4.1. Introduction 75
4.2. A rough analysis of nonresponse 76
4.3. A multinomial logit model for different components of
nonresponse 86
4.4. The interviewer of the first wave of a panel survey as a source
of nonresponse in the second wave 93
4.5. A cross classified model for nonresponse with the interviewers
and the geographical region as random factors 98
4.6. Conclusion 102
Chapter 5. The Interviewer and Item Nonresponse 103
5.1. Introduction 103
5.2. A multilevel logistic model for item nonresponse 104
5.2.1. Dependent variables 104
5.2.2. Independent variables 106
5.2.3. Results 107
5.3. Relations between item nonresponse 112
5.3.1. A longitudinal analysis of the various item
nonresponses 114
5.3.1.1. The multilevel model for longitudinal data 114
5.3.1.2. Results of the longitudinal analysis of the
different item nonresponses 115
5.3.2. A multivariate analysis of the various item nonresponses 119
5.3.2.1. The multivariate multilevel model 119
5.3.2.2. Results of the multivariate analysis of different
item nonresponses 120
5.4. A multinomial logit model for nonresponse to the income
question 125
5.5. A model for count data for the number of no opinion
answers 128
5.5.1. The multilevel Poisson and negative binomial model 128
5.5.2. Results of the analysis 132
5.6. Conclusions 138
Chapter 6. Interviewer Effects on Substantive Variables in the
Survey 139
6.1. Introduction 139
6.2. The attitude towards immigrants 140
6.2.1. Introduction 140
6.2.2. Variables in the analysis and results of the standard
regression model 141
6.2.3. Regional variance in attitude towards immigrants
a cross classified analysis 143
6.3. Further evidence of interviewer effects on substantive variables 145
6.4. Voting behaviour • 148
6.5. Other factual variables 156
6.6. Conclusion 158
Chapter 7. The Usefulness of Interviewer s Information about the
Respondent 161
7.1. Introduction 161
7.2. A multilevel multinomial logit model of a typology of
respondents 161
7.2.1. Introduction 161
7.2.2. Data and variables used in the analysis 162
7.2.3. Results of the analysis 165
7.3. Conclusion 168
Chapter 8. Modelling Interviewer Effects in Panel Surveys 169
8.1. Introduction 169
8.2. Description of the data structure 170
8.3. Variables in the analysis 171
8.4. Analysis 1: respondent type 1 of table 8.1 172
8.5. Analysis 2: respondents type 1 and type 2 of table 8.1 175
8.6. Analysis 3: all respondents of table 8.1 178
8.7. Conclusions 181
Summary and conclusions 185
References 189
Appendix 1. A MLwiN simulation program 201
Samenvatting Resume 205
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| indexdate | 2024-07-09T19:00:49Z |
| institution | BVB |
| language | English |
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| series | Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen |
| series2 | Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen |
| spelling | Pickery, Jan Verfasser aut Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects Jan Pickery Leuven 2000 204 S. txt rdacontent n rdamedia nc rdacarrier Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen 50 : Departement Sociologie Zugl.: Leuven, Kathol. Univ., Diss. Statistische methoden gtt Survey-onderzoek gtt Befragter (DE-588)4245174-7 gnd rswk-swf Umfrage (DE-588)4005227-8 gnd rswk-swf Kontextanalyse (DE-588)4129240-6 gnd rswk-swf Beeinflussung (DE-588)4005203-5 gnd rswk-swf Interviewer (DE-588)4162159-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Proefschriften (vorm) gtt Interviewer (DE-588)4162159-1 s Befragter (DE-588)4245174-7 s Umfrage (DE-588)4005227-8 s Beeinflussung (DE-588)4005203-5 s Kontextanalyse (DE-588)4129240-6 s DE-604 Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen 50 : Departement Sociologie (DE-604)BV004126510 50 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009789937&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Pickery, Jan Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects Katholieke Universiteit Leuven, Faculteit der Sociale Wetenschappen Statistische methoden gtt Survey-onderzoek gtt Befragter (DE-588)4245174-7 gnd Umfrage (DE-588)4005227-8 gnd Kontextanalyse (DE-588)4129240-6 gnd Beeinflussung (DE-588)4005203-5 gnd Interviewer (DE-588)4162159-1 gnd |
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| title | Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects |
| title_auth | Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects |
| title_exact_search | Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects |
| title_full | Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects Jan Pickery |
| title_fullStr | Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects Jan Pickery |
| title_full_unstemmed | Applications of multilevel analysis in survey data quality research Random coefficient models for respondent and interviewer effects Jan Pickery |
| title_short | Applications of multilevel analysis in survey data quality research |
| title_sort | applications of multilevel analysis in survey data quality research random coefficient models for respondent and interviewer effects |
| title_sub | Random coefficient models for respondent and interviewer effects |
| topic | Statistische methoden gtt Survey-onderzoek gtt Befragter (DE-588)4245174-7 gnd Umfrage (DE-588)4005227-8 gnd Kontextanalyse (DE-588)4129240-6 gnd Beeinflussung (DE-588)4005203-5 gnd Interviewer (DE-588)4162159-1 gnd |
| topic_facet | Statistische methoden Survey-onderzoek Befragter Umfrage Kontextanalyse Beeinflussung Interviewer Hochschulschrift Proefschriften (vorm) |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009789937&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV004126510 |
| work_keys_str_mv | AT pickeryjan applicationsofmultilevelanalysisinsurveydataqualityresearchrandomcoefficientmodelsforrespondentandinterviewereffects |