Published to The Winnower 2015/10/20. A properly formatted PDF of this paper can be downloaded here (not sized to A4 sheets). Abstract Two new approaches to spatial autocorrelation (SAC) were exami...
Read ItThis blog post is an abridged and translated version of my blog post in Dutch. A version of this blog post, further abridged to fit within the 500 word limit, has been submitted to PNAS as comment...
Read ItToday on Twitter there was some chatting about one-sided p-values. Daniel Lakens thinks that by 2018 we'll see a renaissance of one-sided p-values due to the advent of preregistration. There was a...
Read ItI like p-curve analyses. They are a great tool to evaluate whether sets of studies have evidential value or not. In a recent paper, Simonsohn, Nelson, & Simmons (2014) show how p-curve analyses...
Read ItIntraclass correlation (ICC) is one of the most commonly misused indicators of interrater reliability, but a simple step-by-step process will get it right. In this article, I provide a brief revie...
Read ItAbstract Two methods are presented that allow for identification of mixed cases in the extraction of general factors. Simulated data is used to illustrate them. Introduction General factors can be ...
Read ItWe present R code to compute the posterior probability based on continuous (instead of traditionally discrete) hypotheses (intervals), when the point-hypotheses have equal probabilities because ...
Read ItNo! If you are like most of the sane researchers out there, you don't spend your days and nights worrying about the nuances of different statistical concepts. Especially ones as traditional as thes...
Read ItAbstract Researcher choice in reporting of regression models allow for questionable research practices. Here I present a function for R that reports all possible regression models given a set of pr...
Read ItA person on ResearchGate asked the following question: How can I correlate ordinal variables (attitude Likert scale) with continuous ratio data (years of experience)? Currently, I am working on my ...
Read ItThis guide is for readers who want to make rich inferences from their data. It does not contain anything new with regard to R code or theoretical development, but it does piece together informati...
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