Statistician for Sport Science Research

Statistician for sport science researchers: repeated-measures ANOVA, effect size (Cohen’s d), reliability (ICC) and power analysis. PhD theses and Q1/Q2.

Frequently asked questions

My protocol has N=15 experimental and N=15 control. Publishable in Q1?

Possible, but you need an analytical design that doesn't collapse with a modest sample: ANCOVA with baseline instead of crude change comparison, CIs alongside p-values, effect size with 95% CI, responder analysis and transparent reporting of limitations. Many JSCR or IJSPP articles have similar Ns.

Pre, post and follow-up (3 timepoints) with drop-out: RM-ANOVA or mixed model?

With drop-out, mixed models are methodologically superior and current reviewers prefer them. They use all available information even when a subject didn't complete every timepoint. I can deliver both analyses so you see the difference.

Do you work with network analysis and sociograms in teams?

Yes. I have worked with sociograms in sport (cohesion, centrality, informal leadership) using R (igraph, qgraph). It's an interesting methodological niche combining classical statistics with graphs.

My thesis combines biomechanics, surveys and training studies. Can you handle multiple designs?

Yes. Sport science theses are often multi-study. I cover the quantitative part of each: biomechanical descriptives, psychometric questionnaire analysis, training models and meta-analysis if needed.

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