Which tools do your analysts use?
SPSS, R, Python (pandas, scikit-learn), Stata, SAS, AMOS, SmartPLS, JASP, NVivo, ATLAS.ti, and MAXQDA.
From regression diagnostics to thematic coding, our PhD statisticians and qualitative analysts run your data, interpret the output, and write the results chapter — all aligned with the conventions of your discipline and ready to defend at viva.
We handle descriptive statistics, inferential tests, regression families, SEM, factor analysis, time series, and survival analysis. You get the dataset, syntax, output, and a written methods + results section.
Thematic, narrative, grounded theory, IPA, and discourse analysis. We code in NVivo or ATLAS.ti, run intercoder reliability where appropriate, and write the findings chapter with verbatim quotes.
Clean dataset, syntax/scripts, output files, methods chapter, results chapter, interpretation, and (for PhD) a defence briefing call.
SPSS, R, Python (pandas, scikit-learn), Stata, SAS, AMOS, SmartPLS, JASP, NVivo, ATLAS.ti, and MAXQDA.
Yes — we confirm assumptions (normality, homoscedasticity, multicollinearity), select the appropriate test, and document the rationale in your methodology chapter.
Thematic, grounded theory, narrative, IPA, and discourse analysis using NVivo or ATLAS.ti, with intercoder reliability checks.
Always. You receive the dataset, the syntax/script (SPSS .sps, R .R, etc.), all output tables, and a written interpretation.
Yes — analyst-led briefing sessions are included for PhD engagements.
Quantitative from CA$240 per analysis (e.g. regression with assumption checks), qualitative coding from CA$180 per 1,000 words of transcripts.
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