03758nam a22005415i 4500 978-3-031-56318-8 DE-He213 20251030113237.0 cr nn 008mamaa 241021s2024 sz | s |||| 0|eng d 9783031563188 978-3-031-56318-8 10.1007/978-3-031-56318-8 doi HA1-4737 JHBC bicssc SOC027000 bisacsh JHBC thema Dependent Data in Social Sciences Research [electronic resource] : Forms, Issues, and Methods of Analysis / edited by Mark Stemmler, Wolfgang Wiedermann, Francis L. Huang. 2nd ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XXII, 786 p. 70 illus., 64 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Growth Curve Modeling -- Directional Dependence -- Dydatic Data Modeling -- Item Response Modeling -- Other Methods for the Analyses of Dependent Data. This second edition presents a variety of up-to-date statistical issues with regard to dependent or longitudinal data such as continuous time modeling, growth curve modeling, dynamic modeling, network analysis, Bayesian network analysis, directional dependence, multilevel analysis, item response modeling (IRT), estimation of missing data of longitudinal data and other methods for the analysis of dependent data (e.g., configural frequency analysis, ecological momentary assessment, and unobserved within-group individual differences). It presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. In addition, R-scripts to recapture the presented content are provided. Researchers and graduate students in the social and behavioral sciences, education, econometrics, mathematics, biology, physics and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful. Social sciences Statistical methods. 75236 Statistics. 65982 Psychometrics. 63358 Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 75237 Statistical Theory and Methods. Psychometrics. 63358 Stemmler, Mark. editor. edt http://id.loc.gov/vocabulary/relators/edt 86333 Wiedermann, Wolfgang. editor. edt http://id.loc.gov/vocabulary/relators/edt 86334 Huang, Francis L. editor. edt http://id.loc.gov/vocabulary/relators/edt 86335 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031563171 Printed edition: 9783031563195 Printed edition: 9783031563201 https://doi.org/10.1007/978-3-031-56318-8 ZDB-2-SMA ZDB-2-SXMS 64351 64351