UID:
almafu_9959329150002883
Umfang:
1 online resource (xiv, 514 pages) :
,
illustrations
Ausgabe:
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
ISBN:
9781118619162
,
1118619161
,
9781118619179
,
111861917X
,
9781118619032
,
111861903X
,
0471011711
,
9780471011712
Inhalt:
Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering. It begins with an introduction to basic descriptive and inferential methods for categorical data, and then gives thorough coverage of the most current developments, such as loglinear and logit models for ordinal data. Special emphasis is placed on interpretation and application of methods a.
Anmerkung:
1. Introduction -- 2. Model notation, covariances, and path analysis -- 3. Causality and causal models -- 4. Structural equation models with observed variables -- 5. The consequences of measurement error -- 6. Measurement models: the relation between latent and observed variables -- 7. Confirmatory factor analysis -- 8. The general model, Part I: latent variable and measurement models combined -- 9. The general model, Part II: extensions.
,
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Weitere Ausg.:
Print version: Bollen, Kenneth A. Structural equations with latent variables ISBN 9780471011712
Sprache:
Englisch
Schlagwort(e):
Statistics.
;
Electronic books.
;
Statistics.
;
Electronic books.
;
Statistics.
;
Electronic books.
;
Electronic books
DOI:
10.1002/9781118619179
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118619179
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118619179
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118619179
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
URL:
http://purl.oclc.org/DLF/benchrepro0212
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