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eBook Statistical Methods for Validation of Assessment Scale Data in Counseling ePub

eBook Statistical Methods for Validation of Assessment Scale Data in Counseling ePub

by Dimiter M. Dimitrov

  • ISBN: 1556202954
  • Category: Social Sciences
  • Subcategory: Other
  • Author: Dimiter M. Dimitrov
  • Language: English
  • Publisher: Wiley; 1 edition (October 27, 2014)
  • Pages: 259
  • ePub book: 1174 kb
  • Fb2 book: 1692 kb
  • Other: mobi azw doc docx
  • Rating: 4.3
  • Votes: 691

Description

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling .

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed, along with key steps in instrument development.

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in. counseling, psychology, education, and related elds

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in. counseling, psychology, education, and related elds. In accordance with the recommendations provided by leading psychometricians (Nunnally & Bernstein, 1994) and counseling scholars (Dimitrov, 2012;Mvududu & Sink, 2013), we first examined the dimensionality and factorial validity of the MCCI-SF Questionnaire using EFA. Subsequently, we tested the inventory's proposed factor structure using CF. .

Statistical Methods for .has been added to your Cart. This is an exceptional guide to methods for providing validity evidence for data. This book is a gem. Highly recommended!

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of od data analysis.

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling . In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed as well as key steps in instrument development.

Numerous examples, tables, and figures provided throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application.

Book Publishing WeChat. Alexandria, VA: American Counseling Association

Book Publishing WeChat. Dimitrov, D. M. (2012). Statistical Methods for Validation of Assessment Scale Data in Counseling and Related Fields. Alexandria, VA: American Counseling Association. has been cited by the following article: TITLE: Nicomachus-Positive Parenting (NPP): Development and Initial Validation of a Parenting Questionnaire within the Positive Psychology Framework. AUTHORS: Theodoros A. Kyriazos, Anastassios Stalikas. Using Graphical and Multivariate Statistical Methods for Geochemical Assessment of Groundwater Quality in Oumé Department (Côte d’Ivoire).

By (author) Dimiter M. Dimitrov. We can notify you when this item is back in stock. AbeBooks may have this title (opens in new window). Validation of Assessment Scale Data. in Counseling and. Related Fields. AMERICAN COUNSELING ASSOCIATION 5999 Stevenson Avenue Alexandria, VA 22304 ww. ounseling. Statistical Methods for. Text and cover design by Bonny E. Gaston. Dimitrov, Dimiter M. Statistical methods for validation of assessment scale data in counseling and related. fields/Dimiter M. p. cm. Includes bibliographical references and index.

This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed as well as key steps in instrument development. Part II describes factor analysis in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait multimethod data analysis. Traditional and Rasch-based analysis of binary and rating scales are examined in Part III.

Dr. Dimitrov offers students, researchers, and practitioners step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures useful in the development or validation of reliable assessment scale data. Numerous examples, tables, and figures throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application.