Statistician for psychology researchers: psychometrics (EFA/CFA/IRT), SEM, mediation, multilevel and reviewer responses. PhD theses and Q1/Q2 in R, SPSS, Mplus.
It depends on the number of parameters and item quality, but N=180 is usually enough for a one- or two-dimensional CFA and for not-too-complex structural models. If the model is large for your N, I propose alternatives such as SAM (Structural After Measurement), item parcels or robust estimators. We assess it in the consultation.
Yes, it's one of the most common requests. I run the configural → metric → scalar sequence (and partial if needed), interpret the CFI/RMSEA changes and draft the Results paragraph and the reviewer response. Typical turnaround: 48-72h from receiving data and letter.
The full repertoire: classical tests (t, ANOVA, ANCOVA, repeated measures), regression, mixed models and the latent side (SEM, IRT, networks). What matters is choosing the analysis that fits your question, not the most sophisticated one.
That's the priority. I don't deliver tables without explanation: every analysis comes with interpretation adapted to your level, plain language and examples of how to write up results. A Zoom session before your defence is included if you want it.