Statistical Power Analysis

By Kevin J. Murphy, B. Myors. 2014

3,413 citations recorded by the source corpus.

Statistical power analysis , Statistical power analysis , کتابخانه دیجیتال جندی شاپور اهواز

Subfields: Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science

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Citations in the corpus

Pilot Flying and Pilot Monitoring’s Aircraft State Awareness During Go-Around Execution in Aviation: A Behavioral and Eye Tracking Study (2017, positive): “Similar to Dehais et al. (2015), we first selected eye movements that resulted in a Cohen ’ s d value greater than .8, considered a large effect size (Cohen, 1992).”
The Role of Collaboration, Computer Use, Learning Environments, and Supporting Strategies in CSCL: A Meta-Analysis (2018, background): “The direction (i.e., positive or negative effect) can be seen from the sign or confidence interval, and the magnitude can be seen from the value of ES , with 0.20 to 0.49 being considered as small effects, 0.50 to 0.79 as moderate effects, and 0.80 or higher as large effects (Cohen, 1992).”
Taking a “Peak” at Leisure Travelers’ Positive Emotions (2012, methodology): “This model building procedure allowed testing within-person hypotheses with enough power to detect between-individual differences of moderate size (as per Cohen, 1992 ) with the 16 occasions nested within 25 individual's data structure.”
The natural selection of bad science (2016, background): “cal power refers to the probability that a statistical test will correctly reject the null hypothesis when it is false, given information about sample size, effect size, and likely rates of false positives2 (Cohen, 1992).”
Detecting Improvements in Forecast Correlation Skill: Statistical Testing and Power Analysis (2017, background): “, the chance of correctly rejecting a false H0) depends on the details of the statistical test, on the actual difference between rby and ray (effect size), and on the sample size n (Cohen 1992).”
Pancultural Gender Differences in the Relation Between Perceived Parental Acceptance and Psychological Adjustment of Children and Adult Offspring (2015, methodology): “Both correlations were in the range of large effect sizes according to Cohen’s criteria (Cohen, 1969, 1992).”
A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach (2017, methodology): “According to Cohen’s guidelines of effect size for social science (Cohen, 1988, 1992), small effect size is indicated by Pearson’s r of .10−.23; medium effect size is indicated by Pearson’s r of .24−.36; and large effect size is indicated by Pearson’s r of .37 or higher.”
How to improve firm performance using big data analytics capability and business strategy alignment (2016, background): “Power (1 β) indicates the probability of successfully rejecting a null hypothesis (Cohen, 1992).”
Theory of Reasoned Action application for Green Information Technology acceptance (2014, background): “The sam - ple size significantly represents the population at 10% significance level ( Cohen , 1992 ; Israel , 1992 ) .”
The mediating role of competitive strategy in international entrepreneurial orientation (2016, background): “The results yielded a statistical power of the sample of 0.82, and standard error value of 0.05, and an effect size of 0.19 (Cohen, 1992).”