For stat students (or anyone) wanting a fast refresh on calculus with a few different learning options, allow me to share my suggestions. 1. 20 minutes. And who knew learning Calculus could be this entertaining? It’s worth it for the sound effects alone. 2. I like P. Lutus, he’s an interesting fellow and...
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...
Below, you can watch my (rejected) submission to Google’s re:Work conference. A straight-forward and applied explanation of our (with Emily Grijalva) finding that when narcissists are in jobs that fit their grandiose self-concept and need for admiration, they stop doing certain bad things in the workplace (namely, counterproductive work behaviors)....
The ordering between data and theory in theory development deserves attention. What drives the process initially? Is it data → theory → data (repeating) or theory → data → theory (repeating)? What is the foundation of theory development? Direct and indirect commentary are presented in several management theory-oriented articles. Sutton...
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...
Pleased to share a recent LER post on receiving the 2014 Larsen Grant with my colleagues in the Psychology Department: Chelsea Song, Mengyang Cao, Jonathan Phan, Bertha Rangel, and Seonghee Cho.
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