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 step
Statistical Methods for Validation of Assessment Scale Data in Counseling and Related Fields
β Scribed by Dimiter M. Dimitrov
- Publisher
- Wiley
- Year
- 2011
- Tongue
- English
- Leaves
- 276
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
<p><P>Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also strongly related to other scientific disciplines involving statistical methodology. The aim of this book is to cover a wide scope of recent statistical methods used by scie
This book covers a wide range of recent statistical methods that are of interest to scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics. The contributed papers, from internationally recognized researchers, present various statistical met
<P>Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical