Sample size justification
D Lakens - Collabra: psychology, 2022 - online.ucpress.edu
An important step when designing an empirical study is to justify the sample size that will be
collected. The key aim of a sample size justification for such studies is to explain how the …
collected. The key aim of a sample size justification for such studies is to explain how the …
Replicability, robustness, and reproducibility in psychological science
Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …
appreciation in psychology. Achieving replicability is important for making research …
Equivalence testing for psychological research: A tutorial
Psychologists must be able to test both for the presence of an effect and for the absence of
an effect. In addition to testing against zero, researchers can use the two one-sided tests …
an effect. In addition to testing against zero, researchers can use the two one-sided tests …
A practical primer to power analysis for simple experimental designs
Power analysis is an important tool to use when planning studies. This contribution aims to
remind read-ers what power analysis is, emphasize why it matters, and articulate when and …
remind read-ers what power analysis is, emphasize why it matters, and articulate when and …
Psychology, science, and knowledge construction: Broadening perspectives from the replication crisis
PE Shrout, JL Rodgers - Annual review of psychology, 2018 - annualreviews.org
Psychology advances knowledge by testing statistical hypotheses using empirical
observations and data. The expectation is that most statistically significant findings can be …
observations and data. The expectation is that most statistically significant findings can be …
Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty
The sample size necessary to obtain a desired level of statistical power depends in part on
the population value of the effect size, which is, by definition, unknown. A common approach …
the population value of the effect size, which is, by definition, unknown. A common approach …
Pre-registration in social psychology—A discussion and suggested template
AE Van't Veer, R Giner-Sorolla - Journal of experimental social psychology, 2016 - Elsevier
Pre-registration of studies before they are conducted has recently become more feasible for
researchers, and is encouraged by an increasing number of journals. However, because the …
researchers, and is encouraged by an increasing number of journals. However, because the …
When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias
When designing a study, the planned sample size is often based on power analyses. One
way to choose an effect size for power analyses is by relying on pilot data. A-priori power …
way to choose an effect size for power analyses is by relying on pilot data. A-priori power …
Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences.
FD Schönbrodt, EJ Wagenmakers… - Psychological …, 2017 - psycnet.apa.org
Unplanned optional stopping rules have been criticized for inflating Type I error rates under
the null hypothesis significance testing (NHST) paradigm. Despite these criticisms, this …
the null hypothesis significance testing (NHST) paradigm. Despite these criticisms, this …
Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.
statistics-based power analysis: A new and practical method to determine sample size for
mixed-effects modeling. © 2022 American Psychological Association Psychological Methods …
mixed-effects modeling. © 2022 American Psychological Association Psychological Methods …