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Multiple indicators an introduction

By: Material type: TextTextSeries: Sage university paper | Quantitative applications in the social sciences ; no. 07-015.Publication details: New Delhi Sage 1979Description: 87p. ill. ; 22 cmISBN:
  • 0803913699
Subject(s): DDC classification:
  • 300.151 22 SU-M
LOC classification:
  • H62 .S79844
Contents:
Validity, Reliability, and Multiple Indicators -- Campbell and Fiske's Multitrait-Multimethod Matrix -- An Application of the Multitrait-Multimethod Matrix to Achievement Motivation -- Costner's Multiple-Indicator Approach to Reliability Assessment -- Extensions to More Concepts -- Extensions to More Indicators -- An Example Applying Costner's Procedures -- Critique of Multitrait-Multimethod Matrix -- Multiple-Indicator Models for Panel Data -- Applications to Panel Data of Party Identification and Attitudes Toward Political Parties -- Hypothesis Testing -- Estimation -- Multiple-Indicator Models: Some Final Considerations -- Some Basic Statistical Concepts -- Populations and Samples -- Parameters and Estimates -- Bias and Efficiency -- Identification -- The Wiley and Wiley Three-Wave, One-Indicator Model.
Item type: Print List(s) this item appears in: Indiana University Collection
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Print Print OPJGU Sonepat- Campus Special Collection - Indiana University Central Library 300.151 SU-M (Browse shelf(Opens below)) Available 011455

Bibliography: p. 84-86.

Validity, Reliability, and Multiple Indicators -- Campbell and Fiske's Multitrait-Multimethod Matrix -- An Application of the Multitrait-Multimethod Matrix to Achievement Motivation -- Costner's Multiple-Indicator Approach to Reliability Assessment -- Extensions to More Concepts -- Extensions to More Indicators -- An Example Applying Costner's Procedures -- Critique of Multitrait-Multimethod Matrix -- Multiple-Indicator Models for Panel Data -- Applications to Panel Data of Party Identification and Attitudes Toward Political Parties -- Hypothesis Testing -- Estimation -- Multiple-Indicator Models: Some Final Considerations -- Some Basic Statistical Concepts -- Populations and Samples -- Parameters and Estimates -- Bias and Efficiency -- Identification -- The Wiley and Wiley Three-Wave, One-Indicator Model.

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