Bộ Thiết kế thí nghiệm
Thiết kế thí nghiệm, power và cỡ mẫu, đề cương, đăng ký trước, ANOVA một yếu tố, nhiều yếu tố và đo lặp, ANCOVA, mô hình hỗn hợp, kiểm tra giả định, effect size và báo cáo phân tích.
Lập kế hoạch
Design of Experiments Worksheet Template (Statistics, R and Python)
Đầy đủPlan an experiment before running it: CRD, randomised block, Latin square, 2^k factorial, fractional factorial, centre points, seeded run order in R and Python
Fisher (1935); Box, Hunter and Hunter (2005); Box and Hunter (1961); NIST/SEMATECH e-Handbook ch. 5Power Analysis and Sample Size Template (Statistics, R and Python)
Đầy đủPower 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 0.15.0Experiment Protocol Template
ChuẩnProtocol – materials, controls, KaTeX stats
Study Preregistration Template
ChuẩnPreregistration of hypotheses, design, sampling plan and stopping rule, variables, analysis plan, exclusions and deviations log
OSF preregistration (concepts)
Phương pháp và mẫu
One-Way ANOVA Method Card Template (Statistics, R and Python)
Đầy đủClassic and Welch one-way ANOVA, ANOVA table by hand, Tukey HSD, Games-Howell, planned contrasts, eta squared with CI and omega squared
Fisher (1925); Welch (1951); Tukey (1949); Games and Howell (1976); Hays (1963); Steiger (2004); NIST/SEMATECH e-Handbook 7.4Factorial ANOVA Method Card Template (Statistics, R and Python)
Đầy đủTwo-way between-subjects ANOVA: main effects, interaction plot, simple effects with emmeans and statsmodels, type I/II/III sums of squares, partial eta squared
Fisher (1925, 1935); Yates (1934); Searle (1971); Langsrud (2003); Cohen (1973); NIST/SEMATECH e-Handbook 5.3 and 7.4Repeated-Measures ANOVA Method Card Template (Statistics, R and Python)
Đầy đủWithin-subject designs: repeated-measures ANOVA, sphericity, Greenhouse-Geisser and Huynh-Feldt, Friedman, Holm post hoc, split-plot overview, when to switch to mixed models
Fisher (1925); Mauchly (1940); Greenhouse and Geisser (1959); Huynh and Feldt (1976); Friedman (1937); Holm (1979); NIST/SEMATECH e-Handbook; APA JARS-Quant (name)ANCOVA Method Card Template (Statistics, R and Python)
Đầy đủAnalysis of covariance: covariate adjustment, homogeneity of slopes, adjusted means by hand and with emmeans, ANCOVA vs change scores, Lord's paradox, reporting
Fisher (1932); Lord (1967); Searle, Speed and Milliken (1980); Senn (2006); NIST/SEMATECH e-Handbook; APA JARS-Quant (name)Linear Mixed Models Method Card Template (Statistics, R and Python)
Đầy đủClustered 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)
Kiểm chứng
Assumption Checklist Template (Statistics, Diagnostics, R and Python)
Đầy đủChecking 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)Effect Sizes Template (Statistics, Choice, Formulas, CIs, R and Python)
Đầy đủChoosing, 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)