Preview. This page currently shows the analysis skeleton. The full worked walkthrough — sample dataset, connected steps, runnable code, interpretation — is being built.
HR / People Analytics · how-to
Diversity Index → EBIT impact — in R
A composite-index-regression analysis. Every step below is the same analysis rendered for R — grounded in the source, honest where R can't do a step cleanly.
Same analysis, your tool
SCORE-INDEX
convert raw headcount breakdowns into one trackable diversity metric
df$EthnicityDiversityIndex <- rowMeans(df$items)SCORE-INDEX · mechanical
same index treatment for the gender dimension
df$GenderDiversityIndex <- rowMeans(df$items)REGRESS
estimate how diversity indices move earnings before interest and taxes
lm(y ~ x1 + x2, data = df)VALIDITY · mechanical
confirm the diversity-EBIT relationship is reliable
cor(df$measure, df$criterion) # criterion validityPREDICT
quantify the business value of increasing diversity
predict(model, newdata = df)Grounded in
Predictive HR Analytics with Excel, Sec 18.1-18.2 Convert Diversity into Index + regress on EBIT
Doing HR / People Analytics work?
The full HR / People Analytics guide covers this and the whole workflow around it — reconciled from the field’s best books.
Want to run it, not read it?
Run this analysis live on your data, in R or any tool — powered by the Stepcode engine.