Power Analysis and Exploratory Research

Aberson C. L. (2019a). Applied power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10.4324/9781315171500

Aberson C. L. (2019b). Pwr2ppl: Power analysis for common designs (R package Version 0.1). https://cran.r-project.org/web/packages/pwr2ppl/index.html

Anderson S. F. Kelley K. Maxwell S. E. (2017). Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty. Psychological Science, 28(11), 1547–1562. https://doi.org/10.1177/0956797617723724

Babbie E. R. (2007). The practice of social research (11th ed.). Thomson Wadsworth.

Bartlett J. (2022). Introduction to power analysis: A guide to G*Power, jamovi, and Superpower (1.4). https://doi.org/10.17605/OSF.IO/PCFVJ

Bell M. L. Whitehead A. L. Julious S. A. (2018). Guidance for using pilot studies to inform the design of intervention trials with continuous outcomes. Clinical Epidemiology, 10, 153–157. https://doi.org/10.2147/CLEP.S146397

Bulus M. (2023). Pwrss: Statistical power and sample size calculation tools. R package version 0.3.1. https://CRAN.R-project.org/package=pwrss

Burke J. F. Sussman J. B. Kent D. M. Hayward R. A. (2015). Three simple rules to ensure reasonably credible subgroup analyses. BMJ, 351, h5651. https://doi.org/10.1136/bmj.h5651

Busetto L. Wick W. Gumbinger C. (2020). How to use and assess qualitative research methods. Neurological Research and Practice, 2(1), 14. https://doi.org/10.1186/s42466-020-00059-z

Carlin J. B. Doyle L. W. (2001). Statistics for clinicians: 4: Basic concepts of statistical reasoning: hypothesis tests and the t-test. Journal of Paediatrics and Child Health, 37(1), 72–77. https://doi.org/10.1046/j.1440-1754.2001.00634.x

Centers for Disease Control and Prevention. (2022). Epi Info^TM Version 7.2. https://www.cdc.gov/epiinfo/index.html

Cohen J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Crutzen R. Peters G.-J. Y. (2017). Targeting next generations to change the common practice of underpowered research. Frontiers in Psychology, 8, 1184. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01184

Dean A. Sullivan K. Soe M. (2013). Open source epidemiologic statistics for public health (Version 3.01). http://www.openepi.com/

Durlak J. A. (2009). How to select, calculate, and interpret effect sizes. Journal of Pediatric Psychology, 34(9), 917–928. https://doi.org/10.1093/jpepsy/jsp004

Faul F. Erdfelder E. Buchner A. Lang A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149

Faul F. Erdfelder E. Lang A.-G. Buchner A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/bf03193146

Fritz M. S. MacKinnon D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18(3), 233–239. https://doi.org/10.1111/j.1467-9280.2007.01882.x

Gill S. L. (2020). Qualitative sampling methods. Journal of Human Lactation, 36(4), 579–581. https://doi.org/10.1177/0890334420949218

Haas J. P. (2012). Sample size and power. American Journal of Infection Control, 40(8), 766–767. https://doi.org/10.1016/j.ajic.2012.05.020

Halpern S. D. Karlawish J. H. T. Berlin J. A. (2002). The continuing unethical conduct of underpowered clinical trials. JAMA, 288(3), 358–362. https://doi.org/10.1001/jama.288.3.358

Heckman M. G. Davis J. M. Crowson C. S. (2022). Post hoc power calculations: An inappropriate method for interpreting the findings of a research study. The Journal of Rheumatology, 49(8), 867–870. https://doi.org/10.3899/jrheum.211115

Hussain S. J. Cohen L. G. (2017). Exploratory studies: A crucial step towards better hypothesis-driven confirmatory research in brain stimulation. The Journal of Physiology, 595(4), 1013–1014. https://doi.org/10.1113/JP273582

Julious S. A. (2016). Pilot studies in clinical research. Statistical Methods in Medical Research, 25(3), 995–996. https://doi.org/10.1177/0962280216651022

Kang H. (2021). Sample size determination and power analysis using the G*Power software. Journal of Educational Evaluation for Health Professions, 18, Article 17. https://doi.org/10.3352/jeehp.2021.18.17

Ko M. J. Lim C.-Y. (2021). General considerations for sample size estimation in animal study. Korean Journal of Anesthesiology, 74(1), 23–29. https://doi.org/10.4097/kja.20662

Ledolter J. Kardon R. H. (2020). Focus on data: Statistical design of experiments and sample size selection using power analysis. Investigative Ophthalmology & Visual Science, 61(8), 11. https://doi.org/10.1167/iovs.61.8.11

Maier M. Lakens D. (2022). Justify your alpha: A primer on two practical approaches. Advances in Methods and Practices in Psychological Science, 5(2), 25152459221080396. https://doi.org/10.1177/25152459221080396

Martens M. J. Logan B. R. (2021). A unified approach to sample size and power determination for testing parameters in generalized linear and time-to-event regression models. Statistics in Medicine, 40(5), 1121–1132. https://doi.org/10.1002/sim.8823

Martin M. A. (2003). “It’s like. . . you know”: The use of analogies and heuristics in teaching introductory statistical methods. Journal of Statistics Education, 11(2). https://doi.org/10.1080/10691898.2003.11910705

Matthay E. C. Hagan E. Gottlieb L. M. Tan M. L. Vlahov D. Adler N. Glymour M. M. (2021). Powering population health research: Considerations for plausible and actionable effect sizes. SSM - Population Health, 14, Article 100789. https://doi.org/10.1016/j.ssmph.2021.100789

Miller J. Ulrich R. (2019). The quest for an optimal alpha. PLoS One, 14(1), e0208631. https://doi.org/10.1371/journal.pone.0208631

National Institutes of Health. (2023). Pilot studies: Common uses and misuses. https://www.nccih.nih.gov/grants/pilot-studies-common-uses-and-misuses

Perugini M. Gallucci M. Costantini G. (2018). A practical primer to power analysis for simple experimental designs. International Review of Social Psychology, 31(1), 1–23. https://doi.org/10.5334/irsp.181

Saunders M. Lewis P. Thornhill A. (2010). Research methods for business students (5th ed.). Pearson.

Seltman H. J. (2018). Experimental design and analysis. https://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf

Stebbins R. A. (2001). Exploratory research in the social sciences (1st ed.). Sage Publications, Inc.

Swedberg R. (2020). Exploratory research. In Elman C. Mahoney J. Gerring J. (Eds.), The production of knowledge: Enhancing progress in social science (pp. 17–41). Cambridge University Press. https://doi.org/10.1017/9781108762519.002

Vadillo M. A. Konstantinidis E. Shanks D. R. (2016). Underpowered samples, false negatives, and unconscious learning. Psychonomic Bulletin & Review, 23(1), 87–102. https://doi.org/10.3758/s13423-015-0892-6

Vandenbroucke J. P. von Elm E. Altman D. G. Gøtzsche P. C. Mulrow C. D. Pocock S. J. Poole C. Schlesselman J. J. Egger M. ; STROBE Initiative. (2007). Strengthening the reporting of observational studies in epidemiology (STROBE): Explanation and elaboration. PLoS Medicine, 4(10), e297. https://doi.org/10.1371/journal.pmed.0040297

Wagenmakers E.-J. Wetzels R. Borsboom D. van der Maas H. L. J. Kievit R. A. (2012). An agenda for purely confirmatory research. Perspectives on Psychological Science, 7(6), 632–638. https://doi.org/10.1177/1745691612463078

Whitley E. Ball J. (2002). Statistics review 4: Sample size calculations. Critical Care, 6(4), 335. https://doi.org/10.1186/cc1521

Zhang Y. Hedo R. Rivera A. Rull R. Richardson S. Tu X. M. (2019). Post hoc power analysis: Is it an informative and meaningful analysis? General Psychiatry, 32(4), e100069. https://doi.org/10.1136/gpsych-2019-100069