Categorical longitudinal data: log-linear panel, trend and cohort analysis
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | Undetermined |
| Veröffentlicht: |
Newbury Park, Calif. u.a.
Sage
1990
|
| Ausgabe: | 1. print. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Aus d. Holländ. übers. |
| Beschreibung: | 398 S. |
| ISBN: | 0803929579 |
Internformat
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| 100 | 1 | |a Hagenaars, Jacobus A. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Categorical longitudinal data |b log-linear panel, trend and cohort analysis |c Jacques A. Hagenaars |
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| 264 | 1 | |a Newbury Park, Calif. u.a. |b Sage |c 1990 | |
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Datensatz im Suchindex
| _version_ | 1804120625329995776 |
|---|---|
| adam_text | Contents
Preface 8
Acknowledgments 11
1. The Analysis of Social Change 13
1.1 Availability of Social Change Data 13
1.2 The Nature of Social Change Data 14
1.3 Research Designs for Establishing Social Change 17
2. Log Linear Analysis of Categorical Data 23
2.1 Introduction 23
2.2 Basic Concepts and Notation 26
2.3 The Saturated Frequency Model 33
2.4 Unsaturated Frequency Models 46
2.5 Testing and Fitting Unsaturated Models 56
2.6 The Collapsibility Theorem 68
2.7 The Effect Model 70
2.7.1 The Modified Multiple Regression Approach:
Effect Models with a Dichotomous Dependent Variable 71
2.7.2 The Modified Multiple Regression Approach:
Effect Models with a Polytomous Dependent Variable 75
2.7.3 The Modified Path Analysis Approach 77
2.8 Ordinal Categorical Variables 82
2.9 Some Problems: Small Sample Size and
Polytomous Variables 87
3. Latent Class Analysis and Log Linear Models with
Latent Variables 93
3.1 Introduction 93
3.2 Latent Class Analysis: Log Linear Models with
One Latent Variable 95
3.2.1 The Basic Model 95
3.2.2 Obtaining the Maximum Likelihood Estimates:
The EM Algorithm 103
3.2.3 Restricted Models 108
3.2.4 Identifiability: Testing and Fitting 111
3.3 Association between Latent and External Variables:
Latent Class Scores and Quasi Latent Variables 113
3.4 Models with Two or More Latent Variables 119
3.4.1 Saturated Models for Latent Variables 119
3.4.2 Unsaturated and Modified Path Analysis Models for
Latent Variables: A Modified LISREL Approach 123
3.5 Local Dependence Models: Direct Effects between Indicators 126
3.6 Simultaneous Analyses in Several Groups 127
3.7 Causal Models with Latent Variables 135
3.8 Ordinal Latent Variables 143
4. Panel Analysis: Answering Typical Panel Questions 147
4.1 Introduction 147
4.2 Changes in One Characteristic: Log Linear Analysis
of a Turnover Table 148
4.2.1 Introduction 148
4.2.2 (Quasi )Independence 152
4.2.3 (Quasi )Symmetry and Marginal Homogeneity 156
4.2.4 A Turnover Table with Ordered Categories 162
4.2.5 Difference Scores 164
4.3 Analyzing Tables with More Than Two Variables 165
4.3.1 Comparing Changes in Different Subgroups 166
4.3.2 Comparing Changes in Related Characteristics 169
4.3.3 Testing Changes in Association 176
4.3.4 Comparing Changes in Different Periods 180
4.4 Latent Variable Models 181
4.4.1 Introduction: Change and Unreliability 181
4.4.2 Analyzing a Turnover Table by Means of
Latent Variable Models 183
4.4.3 Analyzing Tables with More Than Two Manifest Variables
by Means of Latent Variable Models:
Latent (Quasi )Symmetry 193
5. Panel Analysis: Investigating Causal Hypotheses 203
5.1 Introduction: The Panel Design as
a Quasi Experimental Design 203
5.2 The One Group Pretest Posttest Design 203
5.3 The Nonequivalent Control Group Design 215
5.4 Modified Path Models 233
5.5 Typical Panel Problems 248
5.5.1 Nonresponse 249
5.5.2 Test Retest Effects and Correlated Errors:
Local Dependence Latent Class Models 263
6. Trend Analysis 271
6.1 Introduction 271
6.2 The Trend Design 272
6.3 Net Changes in One Characteristic 274
6.3.1 Time as an Independent Variable 274
6.3.2 Net Changes in Subgroups:
Introduction of Additional Variables 285
6.4 Net Changes in More Than One Characteristic 289
6.5 Interrupted Time Series Design 300
6.6 Models with Latent Variables 306
7. Cohort Analysis 314
7.1 Introduction 314
7.2 Clarifying the Key Concepts Age, Period, and Cohort 317
7.3 Alternative Designs 320
7.4 The Identification Problem 326
7.5 Log Linear Analysis of a Cohort Table 332
7.5.1 Introduction: Obtaining the Data and Clarifying
the Meaning of Age, Period, and Cohort 332
7.5.2 The Age x Period Design 337
7.5.3 The Age x Cohort Design 340
7.5.4 The Period x Cohort Design 343
7.5.5 The Three Factor Design: Age x Period x Cohort 345
7.6 Extending the Cohort Table 354
7.6.1 Introducing Additional Variables 354
7.6.2 An Example: Introducing Gender 355
8. A Summary View 360
References 363
Author Index 385
Subject Index 390
About the Author 398
|
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| id | DE-604.BV006378200 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T16:45:04Z |
| institution | BVB |
| isbn | 0803929579 |
| language | Undetermined |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-004036786 |
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| physical | 398 S. |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| publisher | Sage |
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| spelling | Hagenaars, Jacobus A. Verfasser aut Categorical longitudinal data log-linear panel, trend and cohort analysis Jacques A. Hagenaars 1. print. Newbury Park, Calif. u.a. Sage 1990 398 S. txt rdacontent n rdamedia nc rdacarrier Aus d. Holländ. übers. Längsschnittuntersuchung (DE-588)4034036-3 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Methode (DE-588)4038971-6 s DE-604 Multivariate Analyse (DE-588)4040708-1 s Längsschnittuntersuchung (DE-588)4034036-3 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=004036786&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hagenaars, Jacobus A. Categorical longitudinal data log-linear panel, trend and cohort analysis Längsschnittuntersuchung (DE-588)4034036-3 gnd Multivariate Analyse (DE-588)4040708-1 gnd Methode (DE-588)4038971-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
| subject_GND | (DE-588)4034036-3 (DE-588)4040708-1 (DE-588)4038971-6 (DE-588)4055916-6 |
| title | Categorical longitudinal data log-linear panel, trend and cohort analysis |
| title_auth | Categorical longitudinal data log-linear panel, trend and cohort analysis |
| title_exact_search | Categorical longitudinal data log-linear panel, trend and cohort analysis |
| title_full | Categorical longitudinal data log-linear panel, trend and cohort analysis Jacques A. Hagenaars |
| title_fullStr | Categorical longitudinal data log-linear panel, trend and cohort analysis Jacques A. Hagenaars |
| title_full_unstemmed | Categorical longitudinal data log-linear panel, trend and cohort analysis Jacques A. Hagenaars |
| title_short | Categorical longitudinal data |
| title_sort | categorical longitudinal data log linear panel trend and cohort analysis |
| title_sub | log-linear panel, trend and cohort analysis |
| topic | Längsschnittuntersuchung (DE-588)4034036-3 gnd Multivariate Analyse (DE-588)4040708-1 gnd Methode (DE-588)4038971-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
| topic_facet | Längsschnittuntersuchung Multivariate Analyse Methode Sozialwissenschaften |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=004036786&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT hagenaarsjacobusa categoricallongitudinaldataloglinearpaneltrendandcohortanalysis |