Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research
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Published By Springer International Publishing

9783319205847, 9783319205854

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A Nonparametric Approach to Modeling Cross-Section Dependence in Panel Data: Smart Regions in Germany

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_15 ◽

2015 ◽

pp. 345-367 ◽

Cited By ~ 1

Author(s):

Harry Haupt ◽

Joachim Schnurbus

Keyword(s):

Panel Data ◽

Cross Section ◽

Cross Section Dependence ◽

Nonparametric Approach

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Longitudinal Analysis of Dyads Using Latent Variable Models: Current Practices and Constraints

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_9 ◽

2015 ◽

pp. 203-229 ◽

Cited By ~ 1

Author(s):

Heather M. Foran ◽

Sören Kliem

Keyword(s):

Longitudinal Analysis ◽

Latent Variable ◽

Latent Variable Models ◽

Current Practices

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Analyzing Dyadic Data with IRT Models

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_8 ◽

2015 ◽

pp. 173-202 ◽

Cited By ~ 1

Author(s):

Rainer W. Alexandrowicz

Keyword(s):

Dyadic Data ◽

Irt Models

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Stage-Sequential Growth Mixture Modeling of Criminological Panel Data

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_3 ◽

2015 ◽

pp. 67-89 ◽

Cited By ~ 3

Author(s):

Jost Reinecke ◽

Maike Meyer ◽

Klaus Boers

Keyword(s):

Panel Data ◽

Growth Mixture Modeling ◽

Mixture Modeling ◽

Growth Mixture

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Mixed Rasch Models for Analyzing the Stability of Response Styles Across Time: An Illustration with the Beck Depression Inventory (BDI-II)

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_13 ◽

2015 ◽

pp. 309-324

Author(s):

Ferdinand Keller ◽

Ingrid Koller

Keyword(s):

Beck Depression Inventory ◽

Response Styles ◽

Rasch Models ◽

The Stability

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Can Psychometric Measurement Models Inform Behavior Genetic Models? A Bayesian Model Comparison Approach

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_10 ◽

2015 ◽

pp. 231-259 ◽

Cited By ~ 1

Author(s):

Ting Wang ◽

Phillip K. Wood ◽

Andrew C. Heath

Keyword(s):

Bayesian Model ◽

Model Comparison ◽

Behavior Genetic ◽

Genetic Models ◽

Measurement Models ◽

Bayesian Model Comparison ◽

Comparison Approach ◽

Psychometric Measurement

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Nonlinear Growth Curve Models

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_2 ◽

2015 ◽

pp. 47-66 ◽

Cited By ~ 3

Author(s):

Paolo Ghisletta ◽

Eva Cantoni ◽

Nadège Jacot

Keyword(s):

Growth Curve ◽

Growth Curve Models ◽

Nonlinear Growth

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Developmental Pathways of Externalizing Behavior from Preschool Age to Adolescence: An Application of General Growth Mixture Modeling

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_4 ◽

2015 ◽

pp. 91-106 ◽

Cited By ~ 1

Author(s):

Mark Stemmler ◽

Friedrich Lösel

Keyword(s):

Externalizing Behavior ◽

Growth Mixture Modeling ◽

Mixture Modeling ◽

Preschool Age ◽

Developmental Pathways ◽

Growth Mixture ◽

General Growth

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Item Response Models for Dependent Data: Quasi-exact Tests for the Investigation of Some Preconditions for Measuring Change

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_11 ◽

2015 ◽

pp. 263-279 ◽

Cited By ~ 2

Author(s):

Ingrid Koller ◽

Wolfgang Wiedermann ◽

Judith Glück

Keyword(s):

Item Response ◽

Dependent Data ◽

Exact Tests ◽

Response Models ◽

Item Response Models ◽

Measuring Change

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The Observed Dependency of Longitudinal Data

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research ◽

10.1007/978-3-319-20585-4_1 ◽

2015 ◽

pp. 3-45

Author(s):

John J. McArdle

Keyword(s):

Longitudinal Data

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Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences ResearchLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Nonparametric Approach to Modeling Cross-Section Dependence in Panel Data: Smart Regions in Germany

Longitudinal Analysis of Dyads Using Latent Variable Models: Current Practices and Constraints

Analyzing Dyadic Data with IRT Models

Stage-Sequential Growth Mixture Modeling of Criminological Panel Data

Mixed Rasch Models for Analyzing the Stability of Response Styles Across Time: An Illustration with the Beck Depression Inventory (BDI-II)

Can Psychometric Measurement Models Inform Behavior Genetic Models? A Bayesian Model Comparison Approach

Nonlinear Growth Curve Models

Developmental Pathways of Externalizing Behavior from Preschool Age to Adolescence: An Application of General Growth Mixture Modeling

Item Response Models for Dependent Data: Quasi-exact Tests for the Investigation of Some Preconditions for Measuring Change

The Observed Dependency of Longitudinal Data

Springer Proceedings in Mathematics & Statistics - Dependent Data in Social Sciences Research
Latest Publications