Interpreting and comparing effects in logistic, probit, and logit regression:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Thousand Oaks, California ; London ; New Delhi ; Singapore
Sage
[2025]
|
| Schriftenreihe: | Quantitative applications in the social sciences
194 |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xxi, 181 Seiten Diagramme |
| ISBN: | 9781544364018 |
Internformat
MARC
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| 245 | 1 | 0 | |a Interpreting and comparing effects in logistic, probit, and logit regression |c Jacques A. Hagenaars, Tilburg University ; Steffen Kühnel, Georg-August-Universität Göttingen ; Hans-Jürgen Andreß Universität zu Köln |
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| 490 | 1 | |a Quantitative applications in the social sciences |v 194 | |
| 700 | 1 | |a Kühnel, Steffen |d 1956- |e Sonstige |0 (DE-588)122812468 |4 oth | |
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Datensatz im Suchindex
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DETAILED CONTENTS Series Editor Introduction xvii Preface and Acknowledgements xix About the Authors xxi Chapter 1 Introduction 1 1.1 Purpose 1 1.2 Content 4 1.3 Causality ό Chapter 2 2.1 2.2 Regression Models for a Dichotomous Dependent Variable 9 introduction 9 Simulated Data Set University 11 Discrete Response Model — DRM 12 2.2.1 Logistic Regression, Response Profiles, Discrete I DC), and Instantaneous (/C! Change Measures 14 2.2.2 Logistic DRM as a Logit Model: Odds Ratios as Effect 21 Measures 2.2.3 Probit Regression 26 2.2.4 Linear Probability Model - LPM 28 2.3 Latent Variable Model — LVM 30 2.3.1 Logistic Latent Variable Model 32 Underlying Standardized Effects and Explained Variance of Y* 34 37 2.3.2 Probit Latent Variable Model 2.3.3 Heteroscedastic Errors, Unequal Thresholds, and Biased Effects 38 2.4 Inserting Mavericks, "Orthogonal" Independent Variables, Into Equations Chapter 3 3.1 41 interpreting and Comparing Effects Within One Equation 47 Comparing Effects Within a Single LVMEquation 48
XIV Logistic, Probit, and Logit Regression 3.2 Comparing Effects Within a Single DRM Equation 52 3.3 Causal Interpretations in LVM and DRM Logistic Regression 54 3.3.1 55 Causal LVM 3.3.2 CausalDRM:Graphs, SEMs,and Pea ri's Structura I Modeling Approach 55 3.3.3 Causal DRM; Rubin's PotentialOutcome Approach In Sum Chapter 4 63 70 Comparing Subgroups or Time Points: Investigating InteractionEffects 73 Interaction Effects in LVM 75 4.2 Interaction Effects in DRM 83 4.3 Interaction and Causal Analysis 85 4.1 In Sum Chapter 5 5.1 87 Causal Modeling: Estimating Total, Direct, Indirect and Spurious Effects; Using Effect Coefficients From Different (Nested) Equations 8? Introduction Discrimination Data 5.1.1 92 DAGs—Directed Acyclical Graphs 92 Standard Path Models 95 Residualized Independent Variables Comparability and Compatibility Issues Comparability Problems: Scaling and Collapsing Effects Compatibility Problem 5.2 LVM 5.2.1 90 General Background: DAGs, Path Models, Residualized Independent Variables 5.1.2 89 98 99 99 Ю0 W3 Illustrating the Problems: Different ScalingFactors and Incompatible Assumptions 103 Effects on D': Creditworthiness ЮЗ Assessing Underlying Indirect Effects 106 Evaluating the Scaling Ratio q/o, Ю8 5.2.2 Solution: Comparing Standardized Effects Tackling the Comparability/Scali ng Problem HO 111 Tackling Both the Com parab 1 lity/Scaling and the Compatibility 5.2.3 Problem 11A Solution: Residualization and the KHB Approach 118 5.2.4 Solution: The Path Analytic Approach 124
Detailed Contents 5.3 DRM XV 125 5.3.1 The Main Problem: Confusing Collapsing, and Mediating 125 5.3.2 Separating Collapsing and Mediation: The Path Analytic Approach 128 Linear-Additive Relationships Among the Independent Variables 129 132 Systems of Logit Equations 5.3.3 Simulations and Counterfactual Approaches:SIMMAV andSIMNAT 134 SIMNAT — Simulating Pure, Natural Effects 140 SiMNAT - Direct Natural Effects (OR) 141 SIMNAT — Direct Natural DC Effects 144 SIMNAT — Indirect and Total Natural Effects (OR, DC] 146 Modified Natural/Риге Effects Using SIMMAV 5.4 Causal Modeling In Sum Chapter 6 6.1 134 SIMMAV-Simulating Mavericks 150 154 157 Concluding Remarks; Extensions, Effect Measures, and Evaluation 161 Polytomous Dependent Variable 161 6.1.1 LVM 162 6.1.2 DRM 164 6.2 How to Measure Effects in Logistic Regression 165 6.3 Concluding Remarks 168 References 171 Index 179 |
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| indexdate | 2024-12-06T13:14:01Z |
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| isbn | 9781544364018 |
| language | English |
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| publishDate | 2025 |
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| series | Quantitative applications in the social sciences |
| series2 | Quantitative applications in the social sciences |
| spelling | Hagenaars, Jacques A. 1945- Verfasser (DE-588)142631035 aut Interpreting and comparing effects in logistic, probit, and logit regression Jacques A. Hagenaars, Tilburg University ; Steffen Kühnel, Georg-August-Universität Göttingen ; Hans-Jürgen Andreß Universität zu Köln Thousand Oaks, California ; London ; New Delhi ; Singapore Sage [2025] xxi, 181 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Quantitative applications in the social sciences 194 Kühnel, Steffen 1956- Sonstige (DE-588)122812468 oth Andreß, Hans-Jürgen 1952-2020 Sonstige (DE-588)120838370 oth Quantitative applications in the social sciences 194 (DE-604)BV000005102 194 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035224092&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hagenaars, Jacques A. 1945- Interpreting and comparing effects in logistic, probit, and logit regression Quantitative applications in the social sciences |
| title | Interpreting and comparing effects in logistic, probit, and logit regression |
| title_auth | Interpreting and comparing effects in logistic, probit, and logit regression |
| title_exact_search | Interpreting and comparing effects in logistic, probit, and logit regression |
| title_full | Interpreting and comparing effects in logistic, probit, and logit regression Jacques A. Hagenaars, Tilburg University ; Steffen Kühnel, Georg-August-Universität Göttingen ; Hans-Jürgen Andreß Universität zu Köln |
| title_fullStr | Interpreting and comparing effects in logistic, probit, and logit regression Jacques A. Hagenaars, Tilburg University ; Steffen Kühnel, Georg-August-Universität Göttingen ; Hans-Jürgen Andreß Universität zu Köln |
| title_full_unstemmed | Interpreting and comparing effects in logistic, probit, and logit regression Jacques A. Hagenaars, Tilburg University ; Steffen Kühnel, Georg-August-Universität Göttingen ; Hans-Jürgen Andreß Universität zu Köln |
| title_short | Interpreting and comparing effects in logistic, probit, and logit regression |
| title_sort | interpreting and comparing effects in logistic probit and logit regression |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035224092&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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