The Resource Dependent data in social sciences research : forms, issues, and methods of analysis, Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann, editors

Dependent data in social sciences research : forms, issues, and methods of analysis, Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann, editors

Label
Dependent data in social sciences research : forms, issues, and methods of analysis
Title
Dependent data in social sciences research
Title remainder
forms, issues, and methods of analysis
Statement of responsibility
Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
This volume 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. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful
Member of
Cataloging source
N$T
Dewey number
300.72
Index
no index present
LC call number
H62.A5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Stemmler, M.
  • Eye, Alexander von
  • Wiedermann, Wolfgang
Series statement
Springer proceedings in mathematics & statistics
Series volume
volume 145
http://library.link/vocab/subjectName
  • Social sciences
  • Social sciences
  • SOCIAL SCIENCE
  • SOCIAL SCIENCE
  • Social sciences
  • Social sciences
  • Statistics
  • Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  • Statistical Theory and Methods
  • Psychometrics
  • Probability & statistics
  • Psychological testing & measurement
  • Social research & statistics
Label
Dependent data in social sciences research : forms, issues, and methods of analysis, Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-20585-4
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Growth Curve Modeling -- Directional Dependence -- Dydatic Data Modeling -- Item Response Modeling -- Other Methods for the Analyses of Dependent Data
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319205854
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-20585-4
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)925777349
  • (OCoLC)ocn925777349
Label
Dependent data in social sciences research : forms, issues, and methods of analysis, Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-20585-4
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Growth Curve Modeling -- Directional Dependence -- Dydatic Data Modeling -- Item Response Modeling -- Other Methods for the Analyses of Dependent Data
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319205854
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-20585-4
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)925777349
  • (OCoLC)ocn925777349

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