My research area is quantitative psychology- the
statistical modeling of psychological data. Here are my personal reflections on
studying quantitative psychology.
What
opportunities are available for quantitative psychologists?
Becker, B.J., & Schram, C.M. (1994). Examining explanatory models
through research synthesis. In H. Cooper and L. V. Hedges (Eds), The handbook of research synthesis
(pp.357-381). New York: Russell Sage Foundation.
Cheung, M.W.L., & Chan, W. (2009). A two-stage approach to
synthesizing covariance matrices in meta-analytic structural equation
modeling. Structural Equation
Modeling.,6, 28-53.
Cheung, M.W.L., & Chan, W. (2005). Meta-analytic structural
equation modeling: A two-stage approach. Psychological Methods, 10, 40-64.
Cheung, M.W.L., & Chan, W. (2005). Classifying correlation
matrices into relatively homogeneous subgroups: A cluster analytic
approach. Educational and
Psychological Measurement, 65, 954-979.
Cheung, M.W.L, Leung, K., & Au, K. (2006). Evaluating multilevel
models in cross-cultural research: An Illustration with Social Axioms.
Journal of Cross-Cultural
Psychology, 37,
522-541.
Cheung, M.W.L. (2009). Constructing approximate confidence intervals
for parameters with structural equation models. Structural Equation Modeling,
16, 267-294.
Cheung, M.W.L. (2007). Comparison of methods of handling missing
time-invariant covariates in latent growth models under the assumption
of missing completely at random. Organizational Research Methods, 10, 609-634.
Cheung, M.W.L. (2007). Comparison of approaches to constructing
confidence intervals for mediating effects using structural equation
models. Structural Equation
Modeling, 14, 227-246.
Cheung, M.W.L., & Chan, W. (2004). Testing dependent correlation
coefficients via structural equation modeling. Organizational Research Methods,
7, 206-223.
MacKinnon, D.P., Fairchild, A.J., Fritz, M.S. (2007). Mediation
analysis. Annual Review of
Psychology, 58, 593
-614.
Meta-analysis:
Fixed- vs. random-effects models
Methods addressing missing covariates
Correction for artifacts, e.g., unreliability and range restriction
Applications of meta-analysis
Background readings:
Cheung, M.W.L. (2008). A model for integrating fixed-, random-, and
mixed-effects meta-analyses into structural equation modeling. Psychological Methods, 13, 182-202.
Hedges, L.V. (1992). Meta-analysis. Journal of Educational Statistics,
17, 279-296.
Hedges, L.V., & Vevea, J.L. (1998). Fixed- and random-effects
models in meta-analysis. Psychological Methods, 3, 486-504.
Pigott, T.D. (2001). Missing predictors in models of effect size.
Evaluation & the Health
Professions, 24,
277-307.
Raudenbush, S.W. (1994). Random effects models. In H. Cooper and L.
V. Hedges (Eds.), The handbook of
research synthesis (pp. 301-321). New York: Russell Sage
Foundation.
Multilevel models in cross-cultural
research:
Multilevel issues in cross-cultural research
Structural equivalence between level-1 and level-2 constructs
Background readings:
Cheung, M.W.L., & Au, K. (2005). Applications of multilevel
structural equation modeling to cross-cultural research. Structural Equation Modeling, 12, 598-619.
Cheung, M.W.L, Leung, K., & Au, K. (2006). Evaluating multilevel
models in cross-cultural research: An Illustration with Social Axioms.
Journal of Cross-Cultural
Psychology, 37,
522-541.
Klein, K.J., Dansereau, F., & Hall, R.J. (1994). Levels issues in
theory development, data collection, and analysis. Academy of Management Review, 19, 195-229.
van de Vijver, F.J.R., & Leung, K. (1997). Methods and data analysis for
cross-cultural research. Thousand Oaks, CA: Sage.
van de Vijver, F.J.R., & Poortinga, Y.H. (2002). Structural
equivalence in multilevel research. Journal of Cross-Cultural
Psychology, 33,
141-156.