Dependent Data in Social Sciences Research
Editor
- Mark Stemmler(University of Erlangen-Nuremberg, Institute of Psychology)Wolfgang Wiedermann(University of Missouri, Educational, School and Counseling Psychology)Francis L. Huang(University of Missouri, Education and Human Development)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), 2024. "Dependent Data in Social Sciences Research," Springer Books, Springer, edition 2, number 978-3-031-56318-8, January.
Handle: RePEc:spr:sprbok:978-3-031-56318-8
DOI: 10.1007/978-3-031-56318-8
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Book Chapters
The following chapters of this book are listed in IDEAS- Johan H. L. Oud, 2024. "Continuous Time Modeling in the Social Sciences: History and Philosophical Background," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 3-41, Springer.
- Matt L. Miller & Paolo Ghisletta, 2024. "Time in Latent Growth Curve Models," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 43-63, Springer.
- Manuel Arnold & Pablo F. Cáncer & Eduardo Estrada & Manuel C. Voelkle, 2024. "Score-Guided Recursive Partitioning of Continuous-Time Structural Equation Models," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 65-88, Springer.
- Mark Stemmler & Friedrich Lösel, 2024. "Studying the Interaction Between Harsh Parenting and the Child’s Social Behavior Problems over Time Using Continuous Time Modeling," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 89-106, Springer.
- Hannes Meinlschmidt & Meike Sons & Mark Stemmler, 2024. "A Variational Approach to Continuous Time Dynamic Models," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 107-125, Springer.
- Cédric Noel & Jang Schiltz, 2024. "Finite Mixture Models for an Underlying Beta Distribution with an Application to COVID-19 Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 127-158, Springer.
- Jonathan J. Park & Sy-Miin Chow & Peter C. M. Molenaar, 2024. "What the Fuzz!? Leveraging Ambiguity in Dynamic Network Models," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 161-180, Springer.
- Takashi Nicholas Maeda & Yan Zeng & Shohei Shimizu, 2024. "Causal Discovery with Hidden Variables Based on Non-Gaussianity and Nonlinearity," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 181-205, Springer.
- Wolfgang Wiedermann & Bixi Zhang, 2024. "Direction of Dependence in Non-linear Models via Linearization," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 207-233, Springer.
- Li Wang & Shu-Min Liao & Daeyoung Kim, 2024. "Exploration of Dependence Structures in Longitudinal Categorical Data with Ordinal Responses," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 235-258, Springer.
- Cody S. Ding, 2024. "Bayesian Network for Discovering the Potential Causal Structure in Observational Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 259-286, Springer.
- Simon Grund & Oliver Lüdtke & Alexander Robitzsch, 2024. "Missing Data in the Analysis of Multilevel and Dependent Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 289-324, Springer.
- Yichi Zhang & Winnie Wing-Yee Tse & Mark H. C. Lai, 2024. "Bootstrap Methods for Robust Multilevel Analysis," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 325-353, Springer.
- Bixi Zhang & Francis L. Huang, 2024. "Investigating the Use of Robust Standard Errors to Account for Two-Way Clustering in Cross-Classified Data Structures," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 355-375, Springer.
- Ting Wang & Edgar C. Merkle, 2024. "Self-Normalized, Score-Based Tests of Parameter Heterogeneity in Mixed Models," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 377-395, Springer.
- Spyros Konstantopoulos & Wei Li & Bixi Zhang, 2024. "Statistical Power in Cross-Sectional Multilevel Experiments in Education," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 397-440, Springer.
- Jörg-Henrik Heine & Florian G. Hartmann & Christian Tarnai, 2024. "Exploring Temporal Pattern of Intergenerational Educational Mobility in Germany: An Application of Configural Frequency Analysis Using Weighted Prediction," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 443-473, Springer.
- Alexander von Eye & Wolfgang Wiedermann, 2024. "Configural Frequency Analysis Under Multinormality," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 475-489, Springer.
- Alexander von Eye & Wolfgang Wiedermann, 2024. "Configural Frequency Analysis Under Multinormality in Incomplete Tables," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 491-501, Springer.
- Alexander von Eye & Wolfgang Wiedermann, 2024. "Higher-Order Configural Frequency Analysis of Groups of Variables: Dependencies in Test Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 503-516, Springer.
- Shu-Min Liao & Li Wang & Daeyoung Kim, 2024. "Visualization of Dependence in Multidimensional Contingency Tables with an Ordinal Dependent Variable via Copula Regression," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 517-538, Springer.
- Qianru Liang & Jimmy de la Torre & Mary E. Larimer & Eun-Young Mun, 2024. "Mental Health Symptom Profiles Over Time: A Three-Step Latent Transition Cognitive Diagnosis Modeling Analysis with Covariates," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 539-562, Springer.
- Kristian Kleinke & Markus Fritsch & Mark Stemmler & Friedrich Lösel, 2024. "Multiple Imputation of Longitudinal Data: A Comparison of Robust Imputation Methods Regarding Sample Size Requirements, with an Application to Corporal Punishment Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 565-588, Springer.
- Kristian Kleinke & Jost Reinecke, 2024. "Multiple Imputation of Incomplete Panel Data Based on a Piecewise Growth Curve Model: An Evaluation and Application to Juvenile Delinquency Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 589-615, Springer.
- Bo Ye & Recai Yucel & Donna L. Coffman, 2024. "Impact of Inconsistent Imputation Models in Mediation Analysis with Clustered Data," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 617-656, Springer.
- Diane Losardo & Sy-Miin Chow & A. T. Panter & Melissa Burkley & Edward Burkley, 2024. "Ecological Momentary Assessment (EMA) Designs with Planned Missingness," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 657-698, Springer.
- Rainer W. Alexandrowicz & Linda Maurer & Anna Schultz & Marcus Mund, 2024. "Variants of Estimating an IRT-Based Actor-Partner Interdependence Model (APIM) with R," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 701-733, Springer.
- Ferdinand Keller & Rainer W. Alexandrowicz, 2024. "Assessing Individual Change: A Comparison of Reliable Change Indices Based on Classical Test Theory and Various Item Response Theory Models," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 735-765, Springer.
- Hoben Thomas, 2024. "Assessing Unobserved Within-Group Individual Differences," Springer Books, in: Mark Stemmler & Wolfgang Wiedermann & Francis L. Huang (ed.), Dependent Data in Social Sciences Research, edition 2, chapter 0, pages 769-786, Springer.
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