Coverart for item
The Resource The Sage handbook of quantitative methodology for the social sciences, David Kaplan, editor

The Sage handbook of quantitative methodology for the social sciences, David Kaplan, editor

Label
The Sage handbook of quantitative methodology for the social sciences
Title
The Sage handbook of quantitative methodology for the social sciences
Statement of responsibility
David Kaplan, editor
Title variation
Handbook of quantitative methodology for the social sciences
Contributor
Subject
Language
eng
Cataloging source
DLC
Illustrations
illustrations
Index
index present
LC call number
H62
LC item number
.S275 2004
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1955-
http://library.link/vocab/relatedWorkOrContributorName
  • Kaplan, David
  • Sage Publications
http://library.link/vocab/subjectName
  • Social sciences
  • Social sciences
  • Sociaal-wetenschappelijk onderzoek
  • Kwantitatieve methoden
  • Sciences sociales
  • Méthode quantitative
  • Modèle mathématique
  • Méthodologie de recherche
Label
The Sage handbook of quantitative methodology for the social sciences, David Kaplan, editor
Instantiates
Publication
Bibliography note
Includes bibliographical references and indexes
Contents
Dual scaling -- Multidimensional scaling and unfolding of symmetric and asymmetric proximity relations -- Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data -- Responsible modeling of measurement data for appropriate inferences : important advances in reliability and validity theory -- Test modeling -- Differential item functioning analysis : detecting DIF items and testing DIF hypotheses -- Understanding computerized adaptive testing : from Robbins-Monro to Lord and beyond -- Trends in categorical data analysis : new, semi-new, and recycled ideas -- Ordinal regression models -- Latent class models -- Discrete-time survival analysis -- An introduction to growth modeling -- Multilevel models for school effectiveness research -- The use of hierarchical models in analyzing data from experiments and quasi-experiments conducted in field settings -- Meta-analysis -- Determining the number of factors in exploratory and confirmatory factor analysis -- Experimental, quasi-experimental, and nonexperimental design and analysis with latent variables -- Applying dynamic factor analysis in behavioral and social science research -- Latent variable analysis : growth mixture modeling and related techniques for longitudinal data -- Probabilistic modeling with Bayesian networks -- The null ritual : what you always wanted to know about significance testing but were afraid to ask -- On exogeneity -- Objectivity in science and structural equation modeling -- Causal inference
Control code
53970601
Dimensions
26 cm
Extent
xiii, 511 p.
Isbn
9780761923596
Isbn Type
(pbk.)
Lccn
2003028071
Other physical details
ill.
System control number
(OCoLC)53970601
Label
The Sage handbook of quantitative methodology for the social sciences, David Kaplan, editor
Publication
Bibliography note
Includes bibliographical references and indexes
Contents
Dual scaling -- Multidimensional scaling and unfolding of symmetric and asymmetric proximity relations -- Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data -- Responsible modeling of measurement data for appropriate inferences : important advances in reliability and validity theory -- Test modeling -- Differential item functioning analysis : detecting DIF items and testing DIF hypotheses -- Understanding computerized adaptive testing : from Robbins-Monro to Lord and beyond -- Trends in categorical data analysis : new, semi-new, and recycled ideas -- Ordinal regression models -- Latent class models -- Discrete-time survival analysis -- An introduction to growth modeling -- Multilevel models for school effectiveness research -- The use of hierarchical models in analyzing data from experiments and quasi-experiments conducted in field settings -- Meta-analysis -- Determining the number of factors in exploratory and confirmatory factor analysis -- Experimental, quasi-experimental, and nonexperimental design and analysis with latent variables -- Applying dynamic factor analysis in behavioral and social science research -- Latent variable analysis : growth mixture modeling and related techniques for longitudinal data -- Probabilistic modeling with Bayesian networks -- The null ritual : what you always wanted to know about significance testing but were afraid to ask -- On exogeneity -- Objectivity in science and structural equation modeling -- Causal inference
Control code
53970601
Dimensions
26 cm
Extent
xiii, 511 p.
Isbn
9780761923596
Isbn Type
(pbk.)
Lccn
2003028071
Other physical details
ill.
System control number
(OCoLC)53970601

Library Locations

    • Copley LibraryBorrow it
      5998 Alcalá Park, San Diego, CA, 92110-2492, US
      32.771354 -117.193327
Processing Feedback ...