Statistical methods for validation of assessment scale data in counseling and related fields / Dimiter M. Dimitrov.

Format:

Book

Author/Creator:

Dimitrov, Dimiter M., author.

Language:

English

Subjects (All):

Counseling--Evaluation.

Counseling.

Social sciences--Statistical methods.

Social sciences.

Physical Description:

1 online resource (276 p.)

Edition:

1st ed.

Place of Publication:

Alexandria, Virginia : American Counseling Association, [2012]

Language Note:

English

Summary:

"Dr. Dimitrov has constructed a masterpiece-a classic resource that should adorn the shelf of every counseling researcher and graduate student serious about the construction and validation of high quality research instruments. -Bradley T. Erford, PhD Loyola University Maryland Past President, American Counseling Association "This book offers a comprehensive treatment of the statistical models and methods needed to properly examine the psychometric properties of assessment scale data. It is certain to become a definitive reference for both novice and experienced researchers alike." -George A. Marcoulides, PhD University of California, Riverside 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. Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait-multimethod data analysis. Traditional and Rasch-based analyses of binary and rating scales are examined in Part III. Dr. Dimitrov offers students, researchers, and clinicians step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures that are useful in the development or validation of assessment scale data. Numerous examples, tables, and figures provided throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application. *Requests for digital versions from ACA can be found on www.wiley.com. *To purchase print copies, please visit the ACA website here. *Reproduction requests for material from books published by ACA should be directed topublications@counseling.org

Contents:

Statistical Methods for Validation of Assessment Scale Data in Counseling and Related Fields; Table of Contents; Preface; Acknowledgments; About the Author; Part I: Scales, Reliability, and Validity; Chapter 1: Variables and Measurement Scales; 1.1 Variables in Social and Behavioral Research; 1.1.1 Observable Versus Latent Variables; 1.1.2 Continuous Versus Discrete Variables; 1.2 What Is Measurement?; 1.3 Levels of Measurement; 1.3.1 Nominal Scale; 1.3.2 Ordinal Scale; 1.3.3 Interval Scale; 1.3.4 Ratio Scale; 1.4 Typical Scales for Assessment in Counseling; 1.4.1 Binary Scales

1.4.2 Rating Scales1.5 Scaling; 1.5.1 What Is Scaling?; 1.5.2 Dimensionality; 1.5.3 Likert Scaling; 1.5.4 Guttman Scaling; 1.5.5 Thurstone Scaling; 1.5.6 Transformations of Scale Scores; Summary; Chapter 2: Reliability; 2.1 What Is Reliability?; 2.2 Classical Concept of Reliability; 2.2.1 True-Score Model; 2.2.2 Congeneric Measures; 2.2.3 Calibration of Measures; 2.2.4 Definition of Reliability; 2.2.5 Standard Error of Measurement (SEM); 2.3 Types of Reliability; 2.3.1 Internal Consistency Reliability; 2.3.2 Test-Retest Reliability; 2.3.3 Alternate Forms Reliability

2.3.4 Criterion-Referenced Reliability2.3.5 Interrater Reliability; 2.4 Stratified Alpha; 2.4.1 Stratified Alpha for Two Scales; 2.4.2 Stratified Alpha for Three Scales; 2.5 Maximal Reliability of Congeneric Measures; Summary; Chapter 3: Validity; 3.1 What Is Validity?; 3.2 Unified Construct-Based Model of Validity; 3.2.1 Content Aspect of Validity; 3.2.2 Substantive Aspect of Validity; 3.2.3 Structural Aspect of Validity; 3.2.4 Generalizability Aspect of Validity; 3.2.5 External Aspect of Validity; 3.2.6 Consequential Aspect of Validity; 3.2.7 Additional Notes on Validity; Summary

Chapter 4: Steps in Instrument Development4.1 Definition of Purpose; 4.1.1 Intended Decision; 4.1.2 Constraints; 4.1.3 Frame of Reference; 4.2 Instrument Specifications; 4.2.1 Construct Definition; 4.2.2 Construct Models; 4.2.3 Content Specification; 4.2.4 Scoring and Scaling Models; 4.3 Item Development; 4.3.1 Selection of Item Format; 4.3.2 Expert Review; 4.3.3 Pilot Studies; Summary; Part II: Factor Analysis in Construct Validation; Chapter 5: Exploratory Factor Analysis; 5.1 Correlated Variables and Underlying Factors; 5.2 Basic EFA Models; 5.2.1 Full Component Model

5.2.2 Common Factor Model5.3 The Principal Factor Method of Extracting Factors; 5.3.1 Principal Factor Extraction; 5.3.2 Principal Component Analysis; 5.3.3 Principal Factor Analysis; 5.3.4 Component Analysis Versus Factor Analysis; 5.4 Rotation of Factors; 5.4.1 Simple Structure; 5.4.2 Orthogonal Rotation; 5.4.3 Oblique Rotations; 5.4.4 Interpreting Factors; 5.5 Some Basic Properties; 5.5.1 Eigenvalues and Related Properties; 5.5.2 Sum of Squared Loadings; 5.6 Determining the Number of Factors; 5.6.1 "Eigenvalues of One or Higher" Criterion; 5.6.2 Scree Test; 5.6.3 Parallel Analysis

5.6.4 Velicer's MAP Test

Notes:

Description based upon print version of record.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781119019282

1119019281

9781119019299

111901929X

OCLC:

894666667