Scale Development : Theory and Applications

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  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2003-03-25
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Written at an accessible level, Scale Development, Second Edition guides the reader toward the identification of the latent variable, the generation of an item pool, the format for measurement and the optimization of the scale length. Using exercises to illustrate the concepts, the text also includes advice about factor analytic strategies. For researchers tired of 'off-the-shelf' measurement tools that don't fit their particular situation, this is a must read.

Table of Contents

Chapter 1: Overview
General Perspectives on Measurement
Historical Origins of Measurement in Social Science
Later Developments in Measurement
The Role of Measurement in the Social Sciences
Summary and Preview
Chapter 2: Understanding the "Latent Variable"
Constructs Versus Measures
Latent Variable as the Presumed Cause of Item Values
Path Diagrams
Further Elaboration of the Measurement Model
Parallel "Tests"
Alternative Models
Chapter 3: Reliability
Continuous Versus Dichotomous Items
Internal Consistency
Relability Based on Correlations Between Scale Scores
Generalizability Theory
Summary and Exercises
Chapter 4: Validity
Content Validity
Criterion-related Validity
Construct Validity
What About Face Validity?
Chapter 5: Guidelines in Scale Development
Step 1: Determine Clearly What it Is You Want to Measure
Step 2: Generate an Item Pool
Step 3: Determine the Format for Measurement
Step 4: Have Initial Item Pool Reviewed by Experts
Step 5: Consider Inclusion of Validation Items
Step 6: Administer Items to a Development Sample
Step 7: Evaluate the Items
Step 8: Optimize Scale Length
Chapter 6: Factor Analysis
Overview of Factor Analysis
Conceptual Description of Factor Analysis
Interpreting Factors
Principal Components vs Common Factors
Confirmatory Factor Analysis
Using Factor Analysis in Scale Development
Sample Size
Chapter 7: An Overview of Item Response Theory
Item Difficulty
Item Discrimination
False Positives
Item Characteristic Curves
Complexities of IRT
When to Use IRT
Chapter 8: Measurement in the Broader Research Context
Before the Scale Development
After the Scale Administration
Final Thoughts
About the Author

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