Psychometrics
Psychometrics is the science of measuring psychological attributes. It combines psychology, statistics, and measurement theory to build reliable and valid tools for assessing intelligence, personality, skills, and other human characteristics.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 23 | Founded | 5 years ago | Last Issue | 4 days ago |
| Active | |||||
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r and R²
Introduction
“The personality test explains only 3.6 percent of the variance in job performance.” This argument is often heard in the debate on testing in recruitment, and it is hard to dispute because it is true: with r = .19, r² = .03...
Easy to rank, hard to know
For years I have talked in training courses about how the validity figures for the employment interview and for general mental ability (GMA) were first arrived at. I have now finally written it down, in three posts here on Substack. They ar...
General Mental Ability (GMA): where does .51 come from?
In two previous posts, I examined the validity of the interview. We saw how the figure .42 rests on a subset of McDaniel et al.’s data, and how a choice made in 1998 still shapes how we understand the interview. Now I apply the same approac...
The selection interview: .51, .27 – or .26?
The interview is the most widely used selection method, and for good reason. It is flexible. The interviewer can follow up, ask for examples and ask again when something is unclear. The candidate, in turn, has the opportunity to tell, expla...
.42 or .19? Nobody knows what a structured interview is
The employment interview is by far the most widely used selection method, and those who train interviewers often appeal to meta-analyses in which the structured interview is presented as one of the most valid procedures available. In Sweden...
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| Subscribers | Engagement | 61 | Monthly Web Visits | ||
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| Accepts Sponsors | Estimated Cost per Ad | ||||
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Authors
The writers behind this newsletter.
We examine how psychological constructs are defined, operationalised, and interpreted through Classical Test Theory, Item Response Theory, and Generalizability Theory — bridging rigorous measurement theory and applied contexts.
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