Item Response Theory
A note on ANOVA assumptions and robust analysis for a
cross-over study by Xun Chen, Peng-Liang Zhao and Ji Zhang from Statistics in Medicine, 2002, Volume 21, pages 1377–1386
The importance of the normality assumption in large
public health data sets by Ziding Feng Paula Diehr Arthur Peterson and
Dale McLerran from Annual Reviews of Public
Health, 2001, Volume 22, pages 167-187. Thomas Lumley, Paula Diehr, Scott
Emerson, and Lu Chen from Annual Reviews of Public
Health, 2002, Volume 23, pages
Introduction to Modern Measurement Theory by Bryce B. Reeve of the
National Cancer Institute
Item Response Theory and Health Outcomes Measurement in the 21st Century.
Hays, Ron; Morales, Leo; Reise, Steve P.
Equating Health Status Measures With Item Response Theory: Illustrations
With Functional Status Items. McHorney, Colleen A; Cohen, Allan S. PhD
Response to Hays et al and McHorney and Cohen: Emergence of Item Response
Modeling in Instrument Development and Data Analysis. Hambleton, Ronald K.
Response to Hays et al and McHorney and Cohen: A Discussion of Item Response
Theory and Its Applications in Health Status Assessment. Cella, David PhD;
Response to Hays et al and McHorney and Cohen: Practical Implications of
Item Response Theory and Computerized Adaptive Testing: A Brief Summary of
Ongoing Studies of Widely Used Headache Impact Scales. Ware, John E. Jr;
Bjorner, Jakob B,. Kosinski, Mark MA
Item response theory: applications of modern test theory in medical
education by Steven Downing from Medical Education
Psychometrics: From practice to theory and back by William Stout from
Psychometrika, December 2002
- Thompson, M. S., & Green, S. B.
(2006). Evaluating between-group differences in latent variable means. In G. R.
Hancock & R. O. Mueller (Eds.),
Course in Structural Equation Modeling (pp. 119-169).
Greenwich, CT: Information Age Publishing, Inc.
- Wicherts, J.M., Dolan, C.V., & Hessen, D.J.(2005). Stereotype threat and
group differences in test performance: A question of measurement invariance.
Journal of Personality and Social Psychology, 89, 696-716.
- Millsap, R.E. and J. Yun-Tein,
Assessing factorial invariance in ordered-categorical measures. Multivariate
Behavioral Research, 2004. 39(3): p. 479-516.
- Wicherts, J.M., Dolan, C.V., Hessen, D.J., Oosterveld, P., Baal, G.C.M.
van, Boomsma, D.I., & Span, M.M. (2004). Are intelligence tests measurement
invariant over time? Investigating the nature of the Flynn effect.
Intelligence, 32, 509-537.
flynninvarrev.pdf Lisrel files:
- Dolan, C.V. Roorda, W., and Wicherts, J. M. (2004). Two failures of Spearman's hypothesis: The GATB
in Holland and the JAT in South Africa. Intelligence, 32,
about 407 Kb).
- Taub, G. E., McGrew, K. S., & Witta, E. L. (2004). A confirmatory
analysis of the factor structure and cross-age invariance of the Wechsler
Adult Intelligence Scale - Third Edition. Psychological Assessment, 16,
(cannot find pdf on web)
- *Meade, A. W., & Lautenschlager, G. J. (2004).
A comparison of item response
theory and confirmatory factor analytic methodologies for establishing
measurement equivalence/invariance. Organizational Research Methods, 7, 361-388.
- Levine, D. W., Kaplan, R. M., Kripke, D. F., Bowen, D. J., Naughton, M. J., &
Shumaker, S. A. (2003). Factor structure and measurement invariance of the
women's health initiative insomnia rating scale. Psychological Assessment, 15,
123-136. (cannot find pdf on web)
- Antonakis, J., Avolio, B. J., & Sivasubramaniam, N. (2003).
leadership: An examination of the nine-factor Full-Range Leadership Theory using
the Multifactor Leadership Questionnaire (MLQ Form 5X). Leadership
Quarterly, 14(3), 261-295.
- Breithaupt, K., & Zumbo, B. D. (2002). Sample invariance of the structural
equation model and the item response model: A case study. Structural Equation
Modeling, 9, 390-412. (cannot find pdf on web)
- * Vandenberg, R. J., & Lance, C. E. (2000).
A review and synthesis of the measurement invariance literature:
Suggestions, practices, and recommendations for organizational research.
Organizational Research Methods, 3 (1), 4-69.
- *Cheung, G., & Rensvold, R. (1999).
invariance across groups: A reconceptualization and proposed new method.
Journal of Management, 25(1), 1-27.
- * Steenkamp, J.-B. E. M., & Baumgartner, H. (1998).
Assessing measurement invariance in crossnational consumer research. Journal
of Consumer Research, 25, 78-90. (cannot find pdf on web)
- Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for
exploring measurement invariance. Psychological Bulletin, 114, 552-566.
- Meredith, W. (1993). Measurement invariance, factor analysis and factorial
invariance. Psychometrika, 58, 525-543.
- Horn, J. L., & McArdle, J. J. (1992). A practical and theoretical guide to
measurement invariance for aging research. Experimental Aging Research, 18,
117-144. (cannot find pdf on web)
- * Byrne, B., Shavelson, R. J., & Muthén, B. (1989).
Testing for the equivalence of factor covariance and mean structures: The
issue of partial measurement invariance. Psychological Bulletin, 105
- Also see
Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts,
applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
Latent Growth Analysis
A latent variable
framework for power estimation and analyses within intervention contexts.
Journal of Psychopathology and Behavioral Assessment, Vol 24, pp. 1-12, by
Duncan, T.E., Duncan, S.C., Strycker, L.A., & Li, F. (2002).
Growth mixture modeling of adolescent alcohol use data: Chapter addendum
to An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues,
and Applications. Eugene, OR: Oregon Research Institute. by Duncan, T. E.,
Susan, S. C., Strycker, L. A., & Okut, H. (2002).
Latent Growth Curve Analysis: A Gentle Introduction by Alan C. Acock
and Fuzhong Li
Latent Curve Analysis: A Manual for Research Data Analysts by Fuzhong Li
and Alan C. Acock
Imputation of Missing Item Responses: Some Simple Techniques by Mark
Huisman from Quality and Quantity, 2000, #34, 331-351.
Imputation in Practice: Comparison of Software Packages for Regression Models
with Missing Variables by Nicholas Horton from The American Statistician,
2001, Volume 55, Pages 244-254.
Using auxiliary data for parameter estimation with non-ignorably missing
outcomes by Ibrahim JG, Lipsitz SR and
Horton NJ. from Journal of the Royal Statistical
Society: Series C (Applied Statistics), 2001, Volume
50, #3, pages 361-373.
Comparison of Two
Multiple Imputation Procedures in a Cancer Screening Survey by Coen A.
Bernaards, Melissa M. Farmer, Karen Qi, Gareth S. Dulai, Patricia A. Ganz,
Katherine L. Kahn from
UCLA Preprint Server.
- Handling Missing Data Case Study from the Statistical Society of Canada
Research Design & Causal Inference
Reference Guide on Statistics by David H. Kaye & David A. Freedman from
the Federal Judicial Center
How Science Works by David Goodstein from the Federal Judicial Center
Confounding in Health Research by Sander Greenland and Hal Morgenstern
from Annual Reviews of Public Health, 2001,
Volume 22, pages 189-212.
and Analysis of Social Interaction Research by David A. Kenny
from Annual Reviews
of Psychology, 1996,
Volume 47, pages
Methods for Social Intervention by Mark W. Lipsey and David S. Cordray,
from Annual Reviews of Psychology, 2000, Volume 51, pages 345-375.
Methodological Issues in Psychopathology Research
by K. J. Sher and T. J. Trull from
Annual Reviews of Psychology, 1996, Volume
47, pages 371-400.
Selected Statistical Issues in Group Randomized Trials by Ziding Feng Paula Diehr Arthur Peterson and
Dale McLerran from Annual Reviews of Public Health, 2001,
Volume 22, pages 167-187.
Personal Trajectories and Drawing Causal Inferences from Longitudinal Data
by Stephen W. Raudenbush from
Annual Reviews of Psychology, 2001, Volume
52, pages 501-525.
of Causal Effects from Observational Data by Christopher Winship
and Stephen L. Morgan from Annual
Reviews of Sociology,
1999, Volume 25, pages 659-706.
Does X really cause Y?
by Bryan Dowd and Robert Town from Academy Health
British Medical Journal
Categorical Data Analysis in Public Health by
John S. Preisser and Gary G.
Koch from Annual Reviews of Public
Health, 1997, Volume 18, pages 51-82.
Data Analysis by Thomas D. Wickens from
Annuual Reviews of Psychology,
1998, Volule 49, pages
- Covariance Structure Analysis: Statistical Practice, Theory,
and Directions by Peter M. Bentler and Paul Dudgeon from
Annual Reviews of Psychology, 1996, Volume 47, pages 563-592.
Graphics: Mapping the Pathways of Science by
Howard Wainer and Paul F. Velleman from Annual
Reviews of Psychology.
2001 , Volume 52, pages 305-335.
Variables in Psychology and the Social Sciences
by Kenneth A. Bollen from Annual Reviews of
Psychology, 2002, Volume 53,
Meta Analysis: Recent Developments in Quantitative
Methods for Literature Reviews by R. Rosenthal
and M. R. DiMatteo from Annual Reviews of Psychology,
2001, Volume 52, pages
- Review of
Software to fit Generalized Estimating Equation (GEE) Regression Models.
by Horton NJ and Lipsitz SR. from The
1999, Volume 53,
The sample size for a clinical trial: A Bayesian-decision theoretic approach
by Jerry Halpern, Byron Wm. Brown Jr, and John Hornberger from Statistics in
Medicine, 2001, 825-840.
- Some practical
guidelines for effective sample-size determination by Russell V. Lenth
from University of Iowa
Achieving graphical excellence: Suggestions and methods for creating
high-quality visual displays of experimental data by David L. Schriger,
MD, MPH and Richelle J. Cooper, MD, MSHS from Annals of Emergency Medicine,
January 2001, Volume 37 Number 1.
Analysis of Repeated Measures Data Using SAS Procedures by Littell RC,
Henry PR, and Ammerman CB (1998), Journal of Animal Science, 76, 1216-1231.
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