You can expect to find here a small compendium of proofs, mathematical arguments or just me reasoning through things I have read. I’ll try to keep it focused on Psychometrics, but the fact of the matter is that you’ll probably find some stuff from Geometry, Number Theory and all kinds of stuff every now and then.

I don’t think I’m aiming to be as ‘formal’ as I could be. Mostly because my arguments are basically me explaining things to myself… and maybe some other people will find it useful 🙂

Enjoy! And you can always email me if you think I made a mistake or something it not clear!

Why is Cronbach’s alpha a lower bound to reliability?

What is the volume of the shape described by all possible 3X3 correlation matrices?

Expressing R-squared in terms of correlations among the predictors and the dependent variable.

Why does centering in linear regression reduces multicollinearity?

What proportion of numbers are divisible by 2, 3, 5 or 7?

The parabolic relationship between skewness and kurtosis

Imagining multiple dimensions is hard

My love-hate relationship with G*Power

Multiple regression ran as a Canonical Correlation Analysis

The Spearman correlation is under no obligation to tell you anything about the Pearson correlation

Sylvester’s criterion to help diagnose Heywood cases

Multivariate Poisson & Multivariate Exponential Distributions (not everything needs a copula 😉

The case of missing correlations and positive-definiteness

A few textbook exercises to keep the mind sharp!!!

From Christian Robert & George Casella *Introducing Monte Carlo Methods with R:*

From Richard Johnson & Dean Wichen *Applied Multivariate Statistical Analysis:*