Conceptual and Statistical Knowledge

 

Safeguard Power as a Protection Against Imprecise Power Estimates

An essential first step in planning a confirmatory or a replication study is to determine the sample size necessary to draw statistically reliable inferences using power analysis. A key problem, however, is that what is available is the sample-size …

Sailing From the Seas of Chaos Into the Corridor of Stability: Practical Recommendations to Increase the Informational Value of Studies

Recent events have led psychologists to acknowledge that the inherent uncertainty encapsulated in an inductive science is amplified by problematic research practices. In this article, we provide a practical introduction to recently developed …

Sample Size in Psychological Research Over the Past 30 Years

The American Psychological Association (APA) Task Force on Statistical Inference was formed in 1996 in response to a growing body of research demonstrating methodological issues that threatened the credibility of psychological research, and made …

Sample Size Justification Shiny App

This Shiny app accompanies the paper 'Sample Size Justification' by Daniël Lakens. You can download the pre-print of this article at PsyArXiV and any sections in this online form that are unclear are explained in the paper. You can help to improve …

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 the Standardized Mean Difference: Accuracy in Parameter Estimation via Narrow Confidence Intervals

Methods for planning sample size (SS) for the standardized mean difference so that a narrow confidence interval (CI) can be obtained via the accuracy in parameter estimation (AIPE) approach are developed. One method plans SS so that the expected …

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 …

Science Literacy

Fake news or good science? In a world where we have access to unlimited information, it is hard to sift through the echo chamber of opinions fueled by emotions and personal biases, rather than scientific evidence. Science Literacy will teach you …

Science of psychological phenomena and their testing.

There is no crisis of replication and generalizability in psychological science, only misunderstanding or forgetting the fundamental nature of psychological phenomena and resultant implications for empirical testing. Stability–variability is the …

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 …