Announcing several publications on worker interests and job fit: Misfit Matters: A Re-Examination of Interest Fit and Job Satisfaction. Justin Wiegand, Fritz Drasgow, and James Rounds. Journal of Vocational Behavior. Published under an open access license (i.e., free to all!), this paper addresses the disconnect between vocational interest researchers long...
Do you collect occupation or job titles and recode to O*NET? If you do, you know the process is tedious and time-consuming. Multiple raters should be used and even in the best cases, unnecessary error is added by the re-coding process. In an effort to let survey respondents decide on...
Sounds good, right? Bayesian priors allow cross-loadings and residual covariances of SEM’s to vary a small degree (i.e., replace exact zeros with approximate zeros from informative, small-variance priors) and be evaluated (see Asparouhov, Muthén, & Morin, 2015; Muthén, & Asparouhov 2012). The researcher can thereby discover whether 0 cross-loadings likely exist in...
A prominent research interest of mine is assessing person-vocation fit and its relationship to work outcomes, such as job performance. Polynomial regression (PR) and response surface methodology (RSM) are ideal methods for measuring person-vocation. Reasons for the superiority of PR-RSM are numerous, but not the point of this post. The interested reader should...
Basic and Applied Social Psychology (BASP) is the first psychology journal to outright ban NHSTP. The link to the short editorial tells the story, but you can certainly find much more on the subject from other sources. Bayesian procedures are neither banned nor required. The idea is that strong descriptive statistics,...
Missing data is not ideal, but is a reality with most research. This is especially true of social science research where data often comes from subjects who are not forced to complete a survey or question they do not want to. Researchers get scared by the idea of “imputing” data for missing values,...
As Apple released yet another iPhone today, I would like to commemorate with a discussion of camelCase (of which iPhone is an example) and resolve its primary problem as a naming convention–acronyms. camelCase is a naming convention for programming (although it is used more broadly). The idea is quite simple, you capitalize every...
I could not cull this down to fit a blog post, so please see the pdf below documenting my use of instrumental variables with Project TALENT data. All analysis was done in STATA (IV regression uses the ivregress command). Instrumental Variables Example
Instrumental variables are powerful tools used (most often) by economists to infer causality in the absence of an experiment. Their use is worth the consideration of psychologists hoping to do the same thing. Instrumental variables are appropriate for use when a covariate (your independent variable) is thought to be correlated with the...
Recent Comments