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Dependent Data in Social Sciences Research

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Cover of 'Dependent Data in Social Sciences Research'

Table of Contents

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    Book Overview
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    Chapter 1 The Observed Dependency of Longitudinal Data
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    Chapter 2 Nonlinear Growth Curve Models
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    Chapter 3 Stage-Sequential Growth Mixture Modeling of Criminological Panel Data
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    Chapter 4 Developmental Pathways of Externalizing Behavior from Preschool Age to Adolescence: An Application of General Growth Mixture Modeling
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    Chapter 5 A Generalization of Nagin’s Finite Mixture Model
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    Chapter 6 Granger Causality: Linear Regression and Logit Models
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    Chapter 7 Decisions Concerning the Direction of Effects in Linear Regression Models Using Fourth Central Moments
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    Chapter 8 Analyzing Dyadic Data with IRT Models
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    Chapter 9 Longitudinal Analysis of Dyads Using Latent Variable Models: Current Practices and Constraints
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    Chapter 10 Can Psychometric Measurement Models Inform Behavior Genetic Models? A Bayesian Model Comparison Approach
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    Chapter 11 Item Response Models for Dependent Data: Quasi-exact Tests for the Investigation of Some Preconditions for Measuring Change
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    Chapter 12 Measuring Competencies across the Lifespan - Challenges of Linking Test Scores
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    Chapter 13 Mixed Rasch Models for Analyzing the Stability of Response Styles Across Time: An Illustration with the Beck Depression Inventory (BDI-II)
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    Chapter 14 Studying Behavioral Change: Growth Analysis via Multidimensional Scaling Model
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    Chapter 15 A Nonparametric Approach to Modeling Cross-Section Dependence in Panel Data: Smart Regions in Germany
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    Chapter 16 MANOVA Versus Mixed Models: Comparing Approaches to Modeling Within-Subject Dependence
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Title
Dependent Data in Social Sciences Research
Published by
Springer International Publishing, October 2015
DOI 10.1007/978-3-319-20585-4
ISBNs
978-3-31-920584-7, 978-3-31-920585-4
Editors

Stemmler, Mark, von Eye, Alexander, Wiedermann, Wolfgang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 6 15%
Student > Ph. D. Student 6 15%
Professor > Associate Professor 3 8%
Student > Bachelor 3 8%
Other 7 18%
Unknown 6 15%
Readers by discipline Count As %
Social Sciences 10 26%
Psychology 9 23%
Mathematics 6 15%
Linguistics 1 3%
Computer Science 1 3%
Other 5 13%
Unknown 7 18%