Scale Development: Theory and ApplicationsA bestseller in its First Edition, Scale Development: Theory and Applications, Second Edition has been extensively updated and revised to address changes in the field and topics that have grown in importance since the First Edition. Widely adopted for graduate courses in departments such as Psychology, Public Health, Marketing, Nursing, and Education, this book will prove beneficial to applied researchers across the social sciences. New to the Second Edition are figures and practical tips for students, a new section on face validity (Chapter 4), a substantially expanded presentation of factor analysis (Chapter 6), a new chapter (7) on item response theory (IRT), coverage of qualitative procedures, and issues related to differential item functioning (Chapter 8). 
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tesis de Victor y de iDOYA
Review: Scale Development: Theory and Applications (Applied Social Research Methods #26)
User Review  Santosh Kalwar  Goodreadsvery good book, highly recommended for developing scale(s) Read full review
Contents
Overview  1 
General Perspectives on Measurement  2 
Historical Origins of Measurement in Social Science  3 
Later Developments in Measurement  5 
The Role of Measurement in the Social Sciences  6 
Summary and Preview  13 
Understanding the Latent Variable  14 
Latent Variable as the Presumed Cause of Item Values  15 
Administer Items to a Development Sample  88 
Evaluate Scale Length  90 
Optimize the Items  96 
Exercises  100 
Factor Analysis  102 
An Overview of Factor Analysis  103 
A Conceptual Description of Factor Analysis  108 
Interpreting Factors  126 
Path Diagrams  16 
Further Elaboration of the Measurement Model  20 
Parallel Tests  21 
Alternative Models  24 
Exercises  26 
Reliability  27 
Reliability Based on Correlations Between Scale Scores  39 
Generalizability Theory  44 
Summary  47 
Validity  49 
CriterionRelated Validity  50 
Construct Validity  53 
What About Face Validity  57 
Exercises  58 
Guidelines in Scale Development  60 
Generate an Item Pool  63 
Determine the Format for Measurement  70 
Have the Initial Item Pool Reviewed by Experts  85 
Consider Inclusion of Validation Items  87 
Principal Components Versus Common Factors  127 
Confirmatory Factor Analysis  131 
Using Factor Analysis in Scale Development  133 
Sample Size  136 
Conclusion  137 
An Overview of Item Response Theory  138 
Item Difficulty  139 
Item Discrimination  142 
Item Characteristic Curves  144 
Complexities of IRT  147 
When to Use IRT  149 
Conclusions  152 
Measurement in the Broader Research Context  154 
After Scale Administration  158 
Final Thoughts  160 
161  
167  
About the Author  171 