1 / 10

Measurement Theory (Reliability, etc.)

Measurement Theory (Reliability, etc.). Measurement Theory Books. Allen Mary J. and Wendy M. Yen (1979; 2002), Introduction to Measurement Theory , Prospect Heights, IL: Waveland Press. Anastasi , Anne (1982), Psychological Testing 5 th ed., NY: Macmillan.

helena
Download Presentation

Measurement Theory (Reliability, etc.)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Measurement Theory(Reliability, etc.)

  2. Measurement Theory Books • Allen Mary J. and Wendy M. Yen (1979; 2002), Introduction to Measurement Theory, Prospect Heights, IL: Waveland Press. • Anastasi, Anne (1982), Psychological Testing5th ed., NY: Macmillan. • Cronbach, Lee J. (1984), Essentials of Psychological Testing 4th ed., NY: Harper & Row. • Ghiselli, Edwin E., John P. Campbell, and Sheldon Zedeck (1981), Measurement Theory for the Behavioral Sciences, San Francisco: Freeman. • Nunnally, Jum C. and Ira H. Bernstein (1995), Psychometric Theory 3rd ed., NY: McGraw-Hill.

  3. Coefficient Alpha (Reliability) • Duhachek, Adam, Anne T. Coughlan and Dawn Iacobucci (2005), “Results on the Standard Error of the Coefficient Alpha Index of Reliability,” Marketing Science, 24 (2), 294-301. • Duhachek, Adam and Dawn Iacobucci (2004), “Alpha’s Standard Error (ASE): An Accurate and Precise Confidence Interval Estimate,” Journal of Applied Psychology, 89 (5), 792-808. • Iacobucci, Dawn and Adam Duhachek (2003), “Advancing Alpha: Measuring Reliability with Confidence,” Journal of Consumer Psychology, 13 (4), 478-487.

  4. Measurement—Miscellaneous Topics • Spector, Paul E. (1992), Summated Rating Scale Construction: An Introduction, Newbury Park, CA: Sage. • Wainer, Howard (1990), Computerized Adaptive Testing: A Primer, Hillsdale, NY: Erlbaum.

  5. Factor Analysis

  6. Factor Analysis: Intros • Iacobucci, Dawn (1994). “Classic Factor Analysis,” in Richard Bagozzi (ed.), Principles of Marketing Research, Cambridge, MA: Blackwell, 279-316. Inspired, what can I say.  If you can’t find it, email me and I’ll send you a copy. Great intros: • Kim, Jae-On, and Charles W. Mueller (1978), Introduction to Factor Analysis: What It Is and How to Do it, Beverly Hills, CA: Sage. • Kim, Jae-On, and Charles W. Mueller (1978), Factor Analysis: Statistical Methods and Practical Issues, Beverly Hills, CA: Sage. Also good intros: • Comrey, Andrew L. and Howard B. Lee (1992), A First Course in Factor Analysis, 2nded., Hillsdale. NJ: Erlbaum. • Cooper, John C. B. (1983), “Factor Analysis: An Overview,” The American Statistician, 37 (2), 141-147. • Cliff, Norman (1987), Analyzing Multivariate Data, San Diego: Harcourt Brace Jovanovich. • Gorsuch, Richard L. (1983), Factor Analysis 2nd ed., Hillsdale, NJ: Erlbaum.

  7. Factor Analysis: “Confirmatory,” “Maximum Likelihood,” and “Statistical” From the master: • Joreskog, K. G. (1967), “Some Contributions to Maximum Likelihood Factor Analysis,” Psychometrika, 32, 443-82. • Joreskog, K. G. (1969), “A General Approach to Confirmatory Maximum Likelihood Factor Analysis,” Psychometrika, 34, 183-202. Easier to read: • Long, J. Scott (1983), Confirmatory Factor Analysis, Newbury Park, CA: Sage. Harder to read: • Basilevsky, Alexander (1994), Statistical Factor Analysis and Related Methods: Theory and Application, NY: Wiley. • Lawley, D. N. and A. E. Maxwell (1971), Factor Analysis as a Statistical Method, NY: Elsevier. • Topic also treated in Harman, Harry H. (1976), Modern Factor Analysis, U of Chicago Press, pp.197-206.

  8. Factor Analysis: Ancient, er, “Historical” • Harman, Harry H. (1976), Modern Factor Analysis, Chicago: The University of Chicago Press. • Mulaik, Stanley A. (1972), The Foundations of Factor Analysis, NY: McGraw-Hill. (Still a fabulous read, if you can find a copy.) • Thurstone. L. L. (1947), Multiple Factor Analysis, Chicago: University of Chicago Press.

  9. Factor Analysis: Advanced Topics • Jones, Lawrence, and Dawn Iacobucci (1989), “The Structure of Affect and Trait Judgments of Political Figures, Multivariate Behavioral Research, 24, 457-76. (contains a higher-order factor analysis) • Tucker, Ledyard (1966), “Some Mathematical Notes on Three-Mode Factor Analysis,” Psychometrika, 31, 279-311. (the source of the multi-mode factor analysis) • Campbell, Donald T. and D. W. Fiske (1959), “Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix,” Psychological Bulletin, 56, 86-105. • MacCallum, Robert C., Keith F. Widaman, Shaobo Zhang and Sehee Hong (1999), “Sample Size in Factor Analysis,” Psychological Methods, 4 (1), 84-99.

  10. Factor Analysis: Advanced Topics continued #Factors: • Cliff, Norman (1988), “The Eigenvalues-Greater-than-One Rule and the Reliability of Components,” Psychological Bulletin, 103, 276-279. • Humphreys, LIoyd, and Daniel R. Ilgen (1969), “Note on a Criterion for the Number of Common Factors,” Educational and Psychological Measurement, 29, 571-578. • Montanelli, Jr., Richard G. and Lloyd G. Humphreys (1976), “Latent Roots of Random Data Correlation Matrices with Squared Multiple Correlations on the Diagonal: A Monte Carlo Study,” Psychometrika, 41, 341-8. Factor analysis smacks down principal components: • Humphreys, Lloyd G. and Randolph K. Park (1981), “Analysis of Variances and Covariances is Misleading as a Guide to a Common Factor Model,” Intelligence, 5, 157-163. • Snook, Steven C. and Richard L. Gorsuch (1989), “Component Analysis versus Common Factor Analysis: A Monte Carlo Study,” Psychological Bulletin, 106, 148-54. • Velicer, W. F., A. C. Peacock, and D. N. Jackson (1982), “A Comparison of Component and Factor Patterns: A Monte Carlo Approach,” Multivariate Behavioral Research, 17, 371-88.

More Related