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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
Attention for 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 title
Item Response Models for Dependent Data: Quasi-exact Tests for the Investigation of Some Preconditions for Measuring Change
Chapter number 11
Book title
Dependent Data in Social Sciences Research
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-20585-4_11
Book ISBNs
978-3-31-920584-7, 978-3-31-920585-4
Authors

Ingrid Koller, Wolfgang Wiedermann, Judith Glück

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Psychology 1 50%
Unknown 1 50%