Latent class scaling analysis

Latent class scaling analysis

by Dayton, C. Mitchell, (Chauncey Mitchell)

Type Book
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The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.

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Title Statements

  • Full title :Latent class scaling analysis / C. Mitchell Dayton.

Summary

The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.

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Edition Statements

  • Publication Date:©1998.

Publication Statements

  • Publisher(s):SAGE Publications
  • Place of Publication:Thousand Oaks, CA
  • Language:eng
  • Publication Date:©1998.

The Physical Object

  • Description:1 online resource (vii, 95 pages) : : illustrations

Edition Identifiers

  • ISBN:0585180954, 9780585180953, 9781412984720, 1412984726, 9780761913238, 0761913238
  • oclc:ocm44960908
  • LC Classification:QA278.6
  • Dewey Decimal:519.5/35

Table of Contents

Latent Class Models -- The General Model -- Estimating Parameters -- Assessing the Fit of Models of Data -- A Note on Notation -- Extreme-Types Models -- Saturated Models -- Cheating Data Example -- Estimating the [pi] Measure of Fit -- Estimating Standard Errors -- Classifying Respondents -- Validation -- Mixture-Binomial Model -- Linear Scales -- Models with Response Errors -- Clinical Scale Example -- Extended Models -- Lazarsfeld-Toby Data Example -- Latent Distance Models -- Latent Markov Models -- Other Scaling Models -- Repetitive Patterns -- Joint Scales -- Biform and Multiform Scales -- IEA Bus Data -- Multiple Groups Analysis -- Multiple-Group Extreme-Types Model -- Multiple-Group Analysis of the Cheating Data -- Significance Tests for Individual Parameters -- Partial Homogeneity -- Multiple-Group Scaling Models -- Additional Considerations -- Concomitant-Variable Models -- The Concomitant-Variable Latent Class Model -- Parameter Estimation -- Cheating Data Example -- Mixture-Binomial Concomitant-Variable Latent Class Model.

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