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Statistical Modeling, Causal Inference, and Social Science

A blog about statistics and open science

Statistical power analysis

A paper about statistical power

Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli

Researchers designing experiments in which a sample of participants responds to a sample of stimuli are faced with difficult questions about optimal study design. The conventional procedures of statistical power analysis fail to provide appropriate …

Statistical Power and the Testing of Null Hypotheses: A Review of Contemporary Management Research and Recommendations for Future Studies

The purpose of this study is to determine how well contemporary management research fares on the issue of statistical power with regard to studies specifically predicting null relationships between phenomena of interest. This power assessment differs …

Statistical power in operations management research

This paper discusses the need and importance of statistical power analysis in field-based empirical research in Production and Operations Management (POM) and related disciplines. The concept of statistical power analysis is explained in detail and …

Statistical Power of Psychological Research: What Have We Gained in 20 Years?

Power was calculated for 6,155 statistical tests in 221 journal articles published in the 1982 volumes of the Journal of Abnormal Psychology, Journal of Consulting and Clinical Psychology, and Journal of Personality and Social Psychology. Power to …

Statistical Power Problems with Moderated Multiple Regression in Management Research

Due to the increasing importance of moderating (i.e., interaction) effects, the use of moderated multiple regression (MMR) has become pervasive in numerous management specialties such as organizational behavior, human resources management, and …

Statistical Power, Sample Size, and Their Reporting in Randomized Controlled Trials

Objective. —To describe the pattern over time in the level of statistical power and the reporting of sample size calculations in published randomized controlled trials (RCTs) with negative results. Design. —Our study was a descriptive survey. Power …

Statistical Procedures and the Justification of Knowledge in Psychological Science

Justification, in the vernacular language of philosophy of science, refers to the evaluation, defense, and confirmation of claims of truth. In this article, we examine some aspects of the rhetoric of justification, which in part draws on statistical …

Statistical Reporting Errors and Collaboration on Statistical Analyses in Psychological Science

Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this …
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