Knowledge that Transforms
To make high-quality research more accessible and easier to explore.
Fields:
194 results
✕ Clear filters
Gender and the relationship between perceived fairness of pay or promotion and job satisfaction.
Impact of group goals, task component complexity, effort, and planning on group performance.
Moderated regression analysis and Likert scales: Too coarse for comfort.
Effect of overlearning on retention.
Presumed incompetent? Stigmatization and affirmative action efforts.
Time devoted to job and off-job activities, interrole conflict, and affective experiences.
All the right stuff: A comparison of female and male managers' career progression.
Bootstrap estimates of standard errors in validity generalization.
Bootstrapping is introduced as a method for approximating the standard errors of validity generalization (VG) estimates. A Monte Carlo study was conducted to evaluate the accuracy of bootstrap validity-distribution parameter estimates, bootstrap standard error estimates, and nonparametric bootstrap confidence intervals. In the simulation study we manipulated the sample sizes per correlation coefficient, the number of coefficients per VG analysis, and the variance of the distribution of true correlation coefficients. The results indicate that the standard error estimates produced by the bootstrapping procedure were very accurate. It is recommended that the bootstrap standard-error estimates and confidence intervals be used in the interpretation of the results of VG analyses