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Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power.

Traditional methods of analyzing data from psychological experiments are based on the assumption that there is a single random factor (normally participants) to which generalization is sought. However, many studies involve at least two random factors …

Is there a credibility crisis in strategic management research? Evidence on the reproducibility of study findings

Recent studies report an inability to replicate previously published research, leading some to suggest that scientific knowledge is facing a credibility crisis. In this essay, we provide evidence on whether strategic management research may itself be …

Just Post It: The Lesson From Two Cases of Fabricated Data Detected by Statistics Alone

I argue that requiring authors to post the raw data supporting their published results has the benefit, among many others, of making fraud much less likely to go undetected. I illustrate this point by describing two cases of suspected fraud I …

Many Labs 3: Evaluating participant pool quality across the academic semester via replication.

The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual …

Performing high‐powered studies efficiently with sequential analyses

Running studies with high statistical power, while effect size estimates in psychology are often inaccurate, leads to a practical challenge when designing an experiment. This challenge can be addressed by performing sequential analyses while the data …

Problems in using p-curve analysis and text-mining to detect rate of p-hacking.

Background. The p-curve is a plot of the distribution of p-values reported in a set of scientific studies. Comparisons between ranges of p-values have been used to evaluate fields of research in terms of the extent to which studies have genuine …

Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation

This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologists have traditionally thought of sample size …

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 to sample-size planning uses the sample effect size from a prior …

Scanning the horizon: towards transparent and reproducible neuroimaging research

Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions …

Scientific apophenia in strategic management research: Significance tests & mistaken inference

This article uses distributional matching and posterior predictive checks to estimate the extent of false and inflated findings in empirical research on strategic management. Based on a sample of 300 papers in top outlets for research on strategic …
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