Markdown Editor
Ouvrir l'éditeur

Kit statistique pour la thèse

Plan d'analyse, dictionnaire des variables, échantillonnage et puissance, nettoyage des données, analyse exploratoire, fiabilité des échelles, choix du test, vérification des hypothèses, tailles d'effet, régression et modèles mixtes, rédaction des résultats et rapport d'analyse.

Étape 1

Planification

  1. Dissertation Proposal Template

    Complet

    Proposal: rationale, research questions, literature summary, conceptual framework diagram, methods, analysis, ethics, timeline, budget

  2. Statistical Analysis Plan Template (Statistics, Thesis or Project)

    Complet

    Statistical analysis plan for a thesis or project: estimands, hypotheses, sample size, primary model, pre-set assumption fallbacks, missing data, multiplicity, sensitivity, deviations log

    ICH E9(R1) estimand framework (name); Gamble et al. (2017) SAP content; Holm (1979); Rubin (1987); Borm et al. (2007)

  3. Variable Codebook Template (Statistics, Measurement Levels, R and Python)

    Complet

    Research question to variables, measurement levels, variable roles with a causal sketch, codebook table, Likert and reverse coding, R and Python codebook checks

    Stevens (1946) scales of measurement; Velleman and Wilkinson (1993); Likert (1932); DDI codebook practice (name); NIST/SEMATECH e-Handbook

  4. Sampling Plan Template (Statistics, Survey Design, R and Python)

    Complet

    Target population, frame and unit; probability and non-probability designs; bias sources; margin of error with finite population correction; seeded stratified sampling in R and Python

    Cochran (1977); Kish (1965); Lohr (2021); Neyman (1934); Horvitz and Thompson (1952); NIST/SEMATECH e-Handbook

  5. Power Analysis and Sample Size Template (Statistics, R and Python)

    Complet

    Power analysis and sample size worksheet: t-tests, proportions, ANOVA, correlation, regression, simulation power, sensitivity table and justification sentence

    Cohen (1988); Lakens (2022) sample size justification; Hoenig and Heisey (2001); pwr 1.3.0 and statsmodels 0.15.0
Étape 2

Données

  1. Data Cleaning Log Template (Statistics, Missing Data, R and Python)

    Complet

    Reproducible data cleaning with an audit log: duplicates, range and consistency checks, pre-set outlier policy, missing data mechanisms (MCAR, MAR, MNAR), imputation choices, R and Python code

    Rubin (1976); Little (1988); Little and Rubin (2019); van Buuren and Groothuis-Oudshoorn (2011); Tukey (1977); NIST/SEMATECH e-Handbook

  2. Exploratory Data Analysis Report Template (Statistics, R and Python)

    Complet

    Exploratory data analysis report – centre, spread, shape, frequency tables, Vega-Lite charts, outlier screen and questions for confirmatory analysis, with R and Python code

    Tukey (1977); NIST/SEMATECH e-Handbook ch. 1 (EDA); Hyndman and Fan (1996); GAISE College Report (ASA 2016, name)

  3. Reliability and Factor Analysis Method Card Template (Statistics, R and Python)

    Complet

    Survey scale checks: reverse coding, item analysis, Cronbach's alpha and omega, PCA versus EFA, parallel analysis, rotation and loadings, in R and Python

    Cronbach (1951); McDonald (1999); Kaiser (1958, 1960); Cattell (1966); Horn (1965); R stats factanal and statsmodels Factor documentation
Étape 3

Méthode et modèles

  1. Statistical Test Selector Template (Statistics, Decision Trees, R and Python)

    Complet

    Choosing a statistical test or model: five questions, three decision trees and master tables with effect sizes, R and Python functions

    NIST/SEMATECH e-Handbook of Statistical Methods; Student (1908); Welch (1947); Mann and Whitney (1947); McNemar (1947); Nelder and Wedderburn (1972); ASA p-value statement (2016, name)

  2. Assumption Checklist Template (Statistics, Diagnostics, R and Python)

    Complet

    Checking assumptions per method family (t/ANOVA, regression, GLMs, chi-square, correlation, repeated measures and mixed models): diagnostics, R and Python code, judgement rules and remedies

    NIST/SEMATECH e-Handbook of Statistical Methods; Cook (1977); Box and Cox (1964); Levene (1960); Brown and Forsythe (1974); Mauchly (1940); Greenhouse and Geisser (1959); Nelder and Wedderburn (1972); Fox and Weisberg (2019)

  3. Effect Sizes Template (Statistics, Choice, Formulas, CIs, R and Python)

    Complet

    Choosing, computing and reporting effect sizes (d, g, d_z vs d_av, eta and omega squared, r, V, OR, RR, R squared, f squared) with CIs, conversions and R/Python code

    Cohen (1988); Hedges (1981); Hedges and Olkin (1985); Olejnik and Algina (2003); Lakens (2013); Borenstein et al. (2009)

  4. Linear Regression Method Card Template (Statistics, R and Python)

    Complet

    Simple and multiple OLS regression: least squares, coefficient tests and CIs, R² and F test, dummies, interactions, diagnostics, HC3 robust SEs, prediction vs confidence intervals, with R and Python

    Least squares (Legendre 1805); Cook (1977); White (1980); MacKinnon and White (1985) HC3; NIST/SEMATECH e-Handbook ch. 4; APA JARS-Quant (name)

  5. Logistic Regression Method Card Template (Statistics, R and Python)

    Complet

    Binary logistic regression: logit link, odds ratios, Wald vs likelihood-ratio tests, profile vs Wald CIs, predicted probabilities and marginal effects, classification metrics, calibration, separation and EPV, with R and Python

    Cox (1958); Nelder and Wedderburn (1972); Albert and Anderson (1984); Firth (1993); Hanley and McNeil (1982); Peduzzi et al. (1996); APA JARS-Quant (name)

  6. Linear Mixed Models Method Card Template (Statistics, R and Python)

    Complet

    Clustered and longitudinal data: random intercepts and slopes, ICC, REML vs ML, lme4 and statsmodels MixedLM side by side, df methods, singular fits, reporting

    Laird and Ware (1982); Patterson and Thompson (1971); Satterthwaite (1946); Kenward and Roger (1997); Bates et al. (2015); NIST/SEMATECH e-Handbook; APA JARS-Quant (name)
Étape 4

Rédaction de la documentation

  1. Reporting Statistical Results Template (Statistics, APA Style, R and Python)

    Complet

    Writing statistical results: complete-result anatomy, number formatting, model sentences for t, ANOVA, chi-square, correlation, regression, logistic, nonparametric and mixed models, tables, figures, checklist

    APA Publication Manual 7th ed. (name); APA JARS-Quant (name); ASA Statement on P-Values (Wasserstein and Lazar 2016)

  2. Statistical Analysis Report Template (Statistics, Thesis or Client)

    Complet

    Complete statistical analysis report for a thesis results chapter or client: plain-language summary, methods, descriptives, main analyses, assumption checks, sensitivity, limitations, reproducibility appendix, reviewer checklist

    APA JARS-Quant (name); ASA Statement on p-values (Wasserstein and Lazar 2016); Welch (1947); Mann and Whitney (1947); Cook (1977)

  3. Thesis and Dissertation Template

    Complet

    Full thesis: front matter, six core chapters with length guide, references, appendices, submission checklist, writing gantt

  4. Replication Package README Template (DCAS, AEA)

    Complet

    Data and code package README: data availability per source, dataset list, software and runtime, directory tree, run steps, program-to-exhibit map, citations, licences, DCAS matrix

    DCAS v1.0 (2022); AEA Data and Code Availability Policy (Feb 2026)