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Cesca Roma

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- TL;DR Summary
- Covid-19 isolation has rotted my last remaining brain cells and I can't seem to justify not using stepwise DFA in my dissertation even though I know I (probably) shouldn't.

I’m using discriminant function analysis to determine the potential accuracy of several biometric measurements being used in conjunction for binary classification purposes for my BSc Biomed research project. Overall I've only got 110 data points so it's a stretch but hey, that's anatomy!

What I’m struggling with, lacking very fundamental statistical knowledge and using SPSS to do all the hard stuff for me, is where the possible limitations lie in stepwise DFA in this context, and justifying use of the alternative leave-one-out, cross-validation method instead. I’ve been told it would be better to not use stepwise but don’t understand how to place the explanations I’m coming across in the context of my research.

Hope everyone's staying healthy, safe and sane, and thank you for the help in advance!

TL;DR: how do I justify not using stepwise DFA?

What I’m struggling with, lacking very fundamental statistical knowledge and using SPSS to do all the hard stuff for me, is where the possible limitations lie in stepwise DFA in this context, and justifying use of the alternative leave-one-out, cross-validation method instead. I’ve been told it would be better to not use stepwise but don’t understand how to place the explanations I’m coming across in the context of my research.

Hope everyone's staying healthy, safe and sane, and thank you for the help in advance!

TL;DR: how do I justify not using stepwise DFA?