UID:
almafu_9959329150002883
Format:
1 online resource (xiv, 514 pages) :
,
illustrations
Edition:
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
ISBN:
9781118619162
,
1118619161
,
9781118619179
,
111861917X
,
9781118619032
,
111861903X
,
0471011711
,
9780471011712
Content:
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.
Note:
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.
Additional Edition:
Print version: Bollen, Kenneth A. Structural equations with latent variables ISBN 9780471011712
Language:
English
Keywords:
Statistics.
;
Electronic books.
;
Statistics.
;
Electronic books.
;
Electronic books
;
Statistics.
;
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:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
URL:
http://purl.oclc.org/DLF/benchrepro0212
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118619179
