000 -LEADER |
fixed length control field |
02277nam a22002297a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9783031563188 (ebk) |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.535 |
Item number |
D4412 |
245 ## - TITLE STATEMENT |
Title |
Dependent data in social sciences research : forms, issues, and methods of analysis / Mark Stemmler, Wolfgang Wiedermann, editors. |
250 ## - EDITION STATEMENT |
Edition statement |
Second edition. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication |
Cham, Switzerland : |
Name of publisher |
Springer, |
Year of publication |
©2024. |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
1 online resource, xxii, 786 pages ; |
Other physical details |
illustrations. |
490 ## - SERIES STATEMENT |
Series statement |
Dependent Data in Social Sciences Research |
500 ## - GENERAL NOTE |
General note |
Includes bibliographic references and indexes. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Dependent data -- social sciences. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Statistical methods -- social sciences. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Research -- Methodology. |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Mark Stemmler, editor. |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Wolfgang Wiedermann, editor. |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Francis L. Huang, editor. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Electronic Books |