References
Algina, J., Keselman, H. J., & Penfield, R. D. (2005). An
alternative to Cohen’s standardized mean
difference effect size: A robust parameter and confidence interval in
the two independent groups case. Psychological Methods,
10(3), 317–328. https://doi.org/10.1037/1082-989X.10.3.317
Anaconda. (2022). 2022 state of data science report. https://know.anaconda.com/rs/387-XNW-688/images/ANA_2022SODSReport.pdf
Bakeman, R. (2005). Recommended effect size statistics for repeated
measures designs. Behavior Research Methods, 37(3),
379–384.
Bayes, T. (1763). An essay towards solving a problem in the doctrine of
chances. Philosophical Transactions of the Royal Society of
London, 53, 370–418. https://doi.org/10.1098/rstl.1763.0053
Behmer, L. P. (2017). Spatial and temporal aspects of speech
planning: An articulographic investigation [PhD thesis]. The
University of Nebraska-Lincoln.
Belenky, G., Wesensten, N. J., Thorne, D. R., Thomas, M. L., Sing, H.
C., Redmond, D. P., Russo, M. B., & Balkin, T. J. (2003). Patterns
of performance degradation and restoration during sleep restriction and
subsequent recovery: A sleep dose-response study. Journal of Sleep
Research, 12(1), 1–12. https://doi.org/https://doi.org/10.1046/j.1365-2869.2003.00337.x
Bloom, N., Han, R., & Liang, J. (2024). Hybrid working from home
improves retention without damaging performance. Nature,
630(8018), 920–925. https://doi.org/10.1038/s41586-024-07500-2
Bommarito, E., & Bommarito, I., Michael J. (2021). An empirical
analysis of the R package ecosystem. CoRR,
abs/2102.09904. https://arxiv.org/abs/2102.09904
Box, G. E. P. (1958). Sphericity and the analysis of variance.
Annals of Mathematical Statistics, 29(1), 340–356. https://doi.org/10.1214/aoms/1177706706
Cassidy, S. A., Dimova, R., Giguère, B., Spence, J. R., & Stanley,
D. J. (2019). Failing grade: 89% of introduction-to-psychology textbooks
that define or explain statistical significance do so incorrectly.
Advances in Methods and Practices in Psychological Science,
2(3), 233–239.
Chetty, R., Jackson, M. O., Kuchler, T., Stroebel, J., Hendren, N., et
al. (2022). Social capital i: Measurement and associations with economic
mobility. Nature, 608(7921), 108–121. https://doi.org/10.1038/s41586-022-04996-4
Cohen, J. (1988). Statistical power analysis for the behavioral
sciences (2nd ed.). Lawrence Erlbaum Associates.
Cornell, C., & Berger, M. P. F. (1992). The power of the
multivariate analogue of the t test when population variances are
unequal. Multivariate Behavioral Research, 27(4),
467–499. https://doi.org/10.1207/s15327906mbr2704_4
Cowles, M., & Davis, C. (1982). On the origins of the
.05 level of statistical significance. American
Psychologist, 37(5), 553–558. https://doi.org/10.1037/0003-066X.37.5.553
Di Forti, M., Quattrone, D., Freeman, T. P., Tripoli, G.,
Gayer-Anderson, C., & al., et. (2019). The contribution of cannabis
use to variation in the incidence of psychotic disorder across europe
(EU-GEI): A multicentre case–control study. The Lancet
Psychiatry, 6(5), 427–436. https://doi.org/10.1016/S2215-0366(19)30048-3
Dobbie, W., Goldin, J., & Yang, C. S. (2018). The effects of
pretrial detention on conviction, future crime, and employment: Evidence
from randomly assigned judges. American Economic Review,
108(2), 201–240. https://doi.org/10.1257/aer.20161503
Engzell, P., Frey, A., & Verhagen, M. D. (2021). Learning loss due
to school closures during the COVID-19 pandemic. Proceedings of the
National Academy of Sciences, 118(17), e2022376118. https://doi.org/10.1073/pnas.2022376118
Eysenck, H. J., & Eysenck, S. B. G. (1963). Eysenck
Personality Inventory (EPQ,
EPI) [Database record]. APA PsycTests. https://doi.org/10.1037/t02711-000
Fisher, R. A. (1925). Statistical methods for research workers.
Oliver; Boyd.
Fisher, R. A. (1935). The design of experiments. Oliver; Boyd.
Galton, F. (1886). Regression towards mediocrity in hereditary stature.
The Journal of the Anthropological Institute of Great Britain and
Ireland, 15, 246–263. http://www.jstor.org/stable/2841583
Geisser, S. (1958). An extension of the greenhouse–geisser procedure for
multiple‐degree‐of‐freedom contrasts. Biometrika,
45(1/2), 275–277. https://doi.org/10.2307/2333591
Goodman, S. (2008). A dirty dozen: Twelve p-value misconceptions.
Seminar on Statistics.
Greenhouse, S. W., & Geisser, S. (1959). Methods in the analysis of
profile data. Psychometrika, 24(2), 95–112. https://doi.org/10.1007/BF02289823
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C.,
Goodman, S. N., & Altman, D. G. (2016). Statistical tests, p values,
confidence intervals, and power: A guide to misinterpretations.
European Journal of Epidemiology, 31(4), 337–350.
Haller, H., & Krauss, S. (2002). Misinterpretations of significance:
A problem students share with their teachers. Methods of
Psychological Research, 7(1), 1–20.
Hedges, L. V. (1981). Distribution theory for glass’s estimator of
effect size and related estimators. Journal of Educational
Statistics, 6(2), 107–128. https://doi.org/10.2307/1164588
Hippel, P. T. von. (2005). Mean, median, and skew: Correcting a textbook
rule. Journal of Statistics Education, 13(2).
Huynh, H. (1970). Conditions under which mean square ratios in repeated
measurements designs have exact f‐distributions. Journal of the
Royal Statistical Society. Series B (Methodological),
32(2), 317–322.
Huynh, H., & Feldt, L. S. (1976). Estimation of the
box–greenhouse–geisser epsilon: A note on the violation of the
sphericity assumption. Psychometrika, 41(3), 351–360.
https://doi.org/10.1007/BF02293858
Kennedy-Shaffer, L. (2019). Before p < 0.05 to beyond p < 0.05: Using history to
contextualize p-values and significance testing. The
American Statistician, 73(sup1), 82–90. https://doi.org/10.1080/00031305.2018.1564310
Keselman, H. J. (1980). Testing repeated measures hypotheses when the
sphericity assumption is not met. Psychological Bulletin,
88(2), 320–325. https://doi.org/10.1037/0033-2909.88.2.320
Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N.,
Shablack, H., Jonides, J., & Ybarra, O. (2013). Facebook
Use Predicts Declines in
Subjective Well-Being in
Young Adults. PLoS ONE,
8(8), e69841. https://doi.org/10.1371/journal.pone.0069841
Langsrud, Ø. (2003). ANOVA for unbalanced data: Use type II instead of
type III sums of squares. Statistics and Computing,
13(2), 163–167. https://doi.org/10.1023/A:1023260610025
Mauchly, J. W. (1940). Significance test for sphericity of a normal
n-dimensional distribution. Annals of Mathematical Statistics,
11(2), 204–209. https://doi.org/10.1214/aoms/1177731915
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2017). Designing
experiments and analyzing data: A model comparison perspective (3rd
ed.). Routledge.
Pomiechowska, B., Glawcinski, I., Kompatsiaris, I., & Wagemans, J.
(2021). Nonverbal cues that convey social status: A cross-cultural
analysis of eye gaze and posture in dyadic interactions. Journal of
Nonverbal Behavior, 45(4), 481–504. https://doi.org/10.1007/s10919-021-00404-z
Posit PBC. (2024). Benefit corporation annual report: 2024 annual
report. Posit PBC. https://posit.co/about/pbc-report-2024/
Reinhart, A. (2015). Statistics done wrong: The woefully complete
guide. No Starch Press.
Taleb, N. N. (2007). The black swan: The impact of the highly
improbable. Random House.
Thompson, D. M., Wu, J. Y. Y., Yoder, J. A., & Hall, A. B. (2020).
Universal vote-by-mail has no impact on partisan turnout or vote share.
Proceedings of the National Academy of Sciences,
117(25), 14052–14056. https://doi.org/10.1073/pnas.2007249117
Vanhove, J. (2021). Collinearity isn’t a disease that needs curing.
Meta-Psychology, 5. https://doi.org/10.15626/MP.2021.2548
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on
p-values: Context, process, and purpose. The American
Statistician, 70(2), 129–133.
Westfall, P. H. (2014). Kurtosis as peakedness, 1905–2014. r.i.p.
The American Statistician, 68(3), 191–195. https://doi.org/10.1080/00031305.2014.917055
Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R for
data science: Visualize, model, transform, tidy, and import data
(2nd ed.). O’Reilly Media.
YouGov. (2025). Methodology: How does YouGov conduct
public opinion research. https://yougov.co.uk/about/panel-methodology