How Correlations Can Fool You: The Hidden Dangers of Non-Linearity
knitr::opts_chunk$set(echo = TRUE) library(wesanderson) #color palettes library(dplyr) #tidyverse to make our lives better library(fMultivar) wp <- wes_palette("Darjeeling1") #specific color palettes Correlations are the simplest and...
A Simple Model with Major Insights on Selection Bias
I mentioned earlier that I have been reading (and rereading) Scott Page’s masterful book “The Model Thinker”. If you are serious about understanding models and...
How to Avoid Aggregation Errors and Simpson’s Paradox In HR Analytics: Part 2
In our previous post we described the basic premise of Simpson’s Paradox: aggregate data and see one trend, separate your analyses and see another. Today...
How to Avoid Aggregation Errors and Simpson’s Paradox in HR Analytics: Part 1
Recently I’ve been reading Scott Page’s masterful book “The Model Thinker”. It’s full of powerful insights so in this and future posts, I will be...
How To Make A Turnover Reporting Template
In previous posts I’ve covered how to calculate and breakdown turnover data in your organization. Today I want to provide you a very basic R...
How to Break Down Your Turnover Data
Breaking Down Turnover In previous posts and video tutorials we covered how to calculate turnover from your raw HR data. Today, I’m going show you...
Predictive HR Analytics: How to Build a Basic Logistic Regression Model
Overview In our previous post, we explained the basics of logistic regression, what it is, what it does, and why you should care. In today’s...
Webinar: Calculating Employee Turnover, Part 2
In partnership with my friends at AIHR. Questions, comments, and suggestions are welcome.
Webinar: Calculating Employee Turnover, Part 1
In partnership with my friends at AIHR. Comments, questions, and suggestions are welcome.
Reproducible HR Analytics, Part 2
In the previous post I talked about the value of reproducible research and provided a bare-bones introduction to R Markdown, a great vehicle for combining...
Reproducible HR Analytics, Part 1
One of the most common challenges in HR analytics (and really analytics) is understanding and reconstructing work you did before. In the moment of creation,...
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