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Thesis Statistics Kit

Analysis plan, codebook, sampling and power, data cleaning, EDA, scale reliability, test selector, assumption checks, effect sizes, regression and mixed models, results reporting and analysis report.

Step 1

Planning

  1. Dissertation Proposal Template

    Full

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

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

    Full

    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)

    Full

    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)

    Full

    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)

    Full

    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
Step 2

Data

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

    Full

    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)

    Full

    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)

    Full

    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
Step 3

Method and patterns

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

    Full

    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)

    Full

    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)

    Full

    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)

    Full

    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)

    Full

    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)

    Full

    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)
Step 4

Documentation

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

    Full

    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)

    Full

    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

    Full

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

  4. Replication Package README Template (DCAS, AEA)

    Full

    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)