Recent Papers and/or Conference Presentations


Fletcher, T. D. , Major, D. A., & Nusbaum, D. N. (2007, May). Demographic differences in competition at work: Implications on person-environment fit. Paper presented at the 19th Annual Convention of the Association for Psychological Science, Washington, D.C.

This brief paper revisits the gender differences described by Spence and colleagues more that two decades ago. The paper includes ethnic differnces in addition to gender. Gender differences (main effects) are non-existent when ethinicity is accounted for. We also looked at person-environment fit (crossed personality and climate) as an outcome.

Fletcher, T. D. & Perry, K. M. (2007, April). A comparison of parceling strategies in structural equation modeling. Paper presented at the 22nd Annual Conference of the Society for Industrial and Organizational Psychology, New York, NY.

This paper briefly reviews the the literature on parceling strategies. A new form of parceling items is introduced and compared via a Monte Carlo simulation to alternate strategies. The new congeneric approach returns results more similar to the use of items in terms of bias and standard error ratio.

Fletcher, T. D. (2006, August). Methods and approaches to assessing distal mediation. Paper presented at the 66th annual meeting of the Academy of Management, Atlanta, GA.

This paper briefly reviews the concept of mediation with a single mediator variable. The generalization is then made to a situation with 2 mediators in a chain. Three methods of estimation are compared in a simulation example. The methods are OLS regression (making use of the Sobel [1982] test), Structural Equation Modeling, and Bootstrapping (OLS with percentile method). Methods were all strikingly similar except that the bootstrap demonstrated the sampling distribution of the indirect effect is not symmetrical.

Fletcher, T. D., Germano, L. M., & Selgrade, K. A. (2006, May). On the use of partial covariances in structural equation modeling. Paper presented at the 21st Annual Conference of the Society for Industrial and Organizational Psychology, Dallas, TX.

This paper describes the use of control variables in structural equation modeling via the use of partial covariances. That is, the effects of covariates are first removed from the model variables and then the partialled covariances (rather than the raw covariances) are used in the model testing. Two simulations demonstrate that the practice is useful to methodologists. This paper is currently under review.