Measurement Models for Psychological Attributes 1st Edition by Klaas Sijtsma 0429527292 9780429527296

Measurement Models for Psychological Attributes 1st Edition by Klaas Sijtsma – Ebook Instant Download/Delivery ISBN(s): 0429527292,  9780429527296

Product details:

• ISBN 10: 0429527292
• ISBN 13: 9780429527296
• Author: Klaas

Despite the overwhelming use of tests and questionnaires, the psychometric models for constructing these instruments are often poorly understood, leading to suboptimal measurement. Measurement Models for Psychological Attributes is a comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences. The monograph explains the adequate use of measurement models for test construction, points out their merits and drawbacks, and critically discusses topics that have raised and continue to raise controversy. Because introductory texts on statistics and psychometrics are sufficient to understand its content, the monograph may be used in advanced courses on applied psychometrics, and is attractive to both researchers and graduate students in psychology, education, sociology, political science, medicine and marketing, policy research, and opinion research.

Table of contents:

1 Measurement in the Social, Behavioral, and Health Sciences

Introduction

Methodological Procedures and Psychometric Measurement Models

Relation of Measurement Model to Attribute Scale

Developing Attribute Theory Is Important

Measurement Instruments

Measurement Models

Scales of Measurement

Causes of Messy Data

A Scale for Transitive Reasoning

Cycle of Instrument Construction

This Monograph

2 Classical Test Theory and Factor Analysis

Historical Introduction

The Classical Test Model

Measurement Level and Norm Scores

Model Assumptions

Repeatability of Test Scores: Reliability

Methods for Estimating Reliability

Methods Commonly Used in Test-Construction Practice

Parallel-Test Method

Retest Method

Split-Half Method

Internal Consistency Method

Reliability Methods Based on One Test Administration

Method λ1

Method λ3

Method λ2

Method λ4

Method λ5

Method λ6

Greatest Lower Bound

Special Topics Concerning Methods λ1 through λ6 and the GLB

Mutual Relationships of Lower Bounds and Reliability

Discrepancy of Methods λ1 through λ6 and the GLB

Overestimation of Reliability in Real Data

Confidence Intervals

Reliability versus Measurement Precision

Traditional Methods

Alternative Methods and Special Topics

Constructing Scales in the Classical Test Theory Context

Corrected Item-Total Correlations and Oblique Multiple Group Method

Principal Component Analysis

Factor Analysis

Factor-Analysis Approach to Reliability

One-Factor Model

Multi-Factor Model

Real-Data Example: The Type D Scale14 (DS14)

Discussion

3 Nonparametric Item Response Theory and Mokken Scale Analysis

Introduction

Model of Monotone Homogeneity

Prerequisites

Definitions and Notation

Assumptions

Strictly and Essentially Unidimensional IRT

An Ordinal Scale for Person Measurement

Goodness-of-Fit Methods

Unidimensionality: Scalability and Item Selection

Local Independence

Monotonicity

Data Example: The Type D Scale14 (DS14) Revisited Using Nonparametric IRT

Model of Double Monotonicity

Goodness-of-Fit Methods

Method Manifest Invariant Item Ordering

Other Methods for Investigating Manifest Invariant Item Ordering

Reliability

Data Example: The Type D Scale14 (DS14) Continued

Discussion

4 Parametric Item Response Theory and Structural Extensions

Introduction

A Taxonomy for IRT Models

Some Basic IRT Models for Dichotomous Items

Guttman Model

Normal-Ogive Models

One-Parameter Logistic Model or Rasch Model

The Model, Separability of Parameters

Sufficiency and Estimation

Information Functions and Measurement Precision

Goodness-of-Fit Methods

The Rasch Paradox

Epilogue

Two and Three-Parameter Logistic Models

Some Basic IRT Models for Polytomous Items

Adjacent Category Models

Cumulative Probability Models

Continuation Ratio Models

Filling in the Taxonomy

IRT Models for Special Purposes

Linear Logistic Test Model

Generalized Rasch Model with Manifest Predictors

Multidimensional IRT Models

Data Example: Transitive Reasoning

Discussion

5 Latent Class Models and Cognitive Diagnostic Models

Introduction

Latent Class Model

An Example: Proportional Reasoning

Introduction

The Unrestricted Model

Restricted Models

Estimation

Goodness-of-Fit Methods

Ordered LCM and Testing Monotonicity in Nonparametric IRT

Data Example: Proportional Reasoning by Means of the Balance Scale

Discussion

Cognitive Diagnostic Model

An Example: Identifying Patients’ Disorder Profiles Using the MCMI-III

Introduction

Models

Estimation

Goodness-of-Fit Methods

Relationship to Nonparametric IRT

Data Example: Identifying Patients’ Disorder Profiles Using the MCMI-III

Discussion

General Discussion

6 Pairwise Comparison, Proximity, Response Time, and Network Models

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