ARC: Connections: ELMAR: Posting

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John R. Rossiter’s new text, Measurement for the Social Sciences, is now available from Springer publishers worldwide. Intended as an essential supplementary text for masters level and doctoral level research courses specifically covering measure design, the new book argues comprehensively for the author’s content-validity-based, non-statistical, C-OAR-SE approach (after detailing the fatal problems with the conventional psychometric approach). Suitable for research students in sociology, psychology, organizational behavior, management, and marketing, the book features examples of highly content-valid measures for all the major constructs in the social sciences. There are also end-of-chapter questions to provide researchers with practice in applying the new C-OAR-SE method. The book is available in hardcover through the Publisher’s web site and online retailers, and to students through Springer’s eBooks and paperback MyCopy programs (via SpringerLink, through participating libraries and institutions). Visit www.springer.com or e-mail service-ny@springer.com for more information.

1 Rationale of C-OAR-SE
1.1 Why C-OAR-SE?
1.2 The C – M – S Structure of Measurement
1.3 New True-Score Model: O = T + Dm + Er , Where Dm Is Distortion Caused by the Measure and Er Is Error Caused by the Rater
1.4 Researcher-Defined (Psychological) Versus Partly Rater-Defined (Perceptual) Constructs
1.5 Ultimate Dependence on Rational Expert Judgment for Defining Constructs
1.6 The Construct Definition Depends on the Role of the Construct in the Theory
1.7 End-of-Chapter Questions

2 Validity and Reliability
2.1 Content Validity (CV) Not “Construct Validity”
2.2 Why MTMM Is Wrong
2.3 Item-Content Validity (CVitem ) and How to Establish It
2.4 Answer-Scale Validity (CVanswer ) and How to Establish It
2.5 The Desirability of Predictive Validity (PV) and the True Population Correlation (Rpop )
2.6 Why Coefficient Alpha Is Wrong
2.7 Stability-of-Scores Reliability (Rstability )
2.8 Precision-of-Scores Reliability (Rprecision )
2.9 End-of-Chapter Questions

3 Object Classification and Measures
3.1 The Importance of Valid Object Representation in the Measure
3.2 Concrete Object (CONCOB): Iconic Representation
3.3 Abstract Collective Object (COLLOB): Representative Sample of Constituents
3.4 Abstract Formed Object (FORMOB): Set of Main Meanings .
3.5 End-of-Chapter Questions

4 Attribute Classification and Measures
4.1 New Fourfold Classification of Attributes
4.2 Concrete Perceptual Attribute (CONCPERC): One Good Self-Rated Item
4.3 Concrete Psychological Attribute (CONCPSY): One Good Researcher-Rated Item
4.4 Abstract Achieved Attribute (ABACHD): One Good Item per Defined First-Order Component
4.5 Abstract Dispositional Attribute (ABDISP): Several Good Items per Defined Second-Order Component
4.6 The Serious Problem of Mislabeling Abstract Attributes
4.7 Attributes Can Change Status According to Their Role in the Theory
4.8 End-of-Chapter Questions

5 Rater Entity Classification
5.1 Why the Rater Entity in the Construct Makes It a Different Construct Even If the Object and Attribute Are the Same
5.2 Experts as the Rater Entity (EXPRAT)
5.3 Coders as the Rater Entity (CODRAT)
5.4 Managers as Group Rater Entity (MANRAT)
5.5 Consumers as Group Rater Entity (CONRAT)
5.6 Individuals as Rater Entity (INDRAT)
5.7 End-of-Chapter Questions

6 Selection of Item-Type and Answer Scale
6.1 A Model of Item Variables
6.2 Attribute Beliefs (or Perceptions)
6.3 Evaluative Beliefs (or Attitudes, Plural)
6.4 Emotions (Type 1 and Type 2)
6.5 Overall Attitude (Singular)
6.6 Motives (Conscious and Subconscious)
6.7 Personality Traits and States (and Types)
6.8 Abilities (General Intelligence, Creative Ability)
6.9 Knowledge Tests
6.10 End-of-Chapter Questions

7 Enumeration and Scoring Rule
7.1 Objects or Raters as the Units of Analysis
7.2 Enumeration of Ratings on Unipolar and Bipolar Attributes
7.3 Sum Scoring Rule
7.4 Average Scoring Rule
7.5 Cutoffs or Profile Scoring Rule
7.6 Multiplicative Scoring Rule
7.7 Alternative Group-Scoring Rules
7.8 End-of-Chapter Questions

8 Qualitative Research from a C-OAR-SE Perspective
8.1 Types of Qualitative Research
8.2 Analytic Qualitative Research (AQR)
8.3 Methodologies of Qualitative Research
8.4 First-Order and Higher-Order Data
8.5 Modes of Analysis in Qualitative Research
8.6 Analytic Qualitative Research Compared with Quantitative Research
8.7 Summary
8.8 End-of-Chapter Questions

9 DROAVR Application Checklist
9.1 Definiition (Within Theory) of the Construct
9.2 Rater Entity Identified
9.3 Object Correctly Represented
9.4 Attribute Components Formatively Specified
9.5 Validity (Content Validity) Rationally Argued
9.6 Reliability (Precision) of Scores Reported

Appendix A
Appendix B
Appendix C
References
Index

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