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MTurk Workers Are More Depressed—But “Bots” and Demographic Differences Inflate the Data
MTurk participants have been found to experience major depression at higher rates than the general population, but these studies may require more stringent data-filtering procedures.
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Three Cutting-Edge Approaches to Addressing Critical Issues in Meta-Analyses
The March issue of Advances in Methods and Practices in Psychological Science concludes with a special focus on multilevel modeling and meta-analysis.
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Textbook Analysis Uncovers Erroneous Explanations of Statistical Significance
An examination of introductory psychology textbooks suggests that prospective researchers may learn to interpret statistical significance incorrectly in their classes.
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Social Psychology Research Today Has More Participants, Online Studies, Self-Report Measures
Collecting data from online participant pools and using self-report measures are two strategies that allow for increased sample sizes while drawing on relatively fewer resources — but have social psychology researchers adopted these strategies?
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Insights From High-Risk Fields Can Help Minimize Mistakes in the Lab
In a new AMPPS article, researcher Jeffrey Rouder and colleagues use principles drawn from high-risk fields to propose best practices for minimizing mundane mistakes in psychology labs.
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Insights From High-Risk Fields Can Help Minimize Mistakes in the Lab
In an article published in Advances in Methods and Practices in Psychological Science, researcher Jeffrey Rouder of the University of California, Irvine and colleagues use principles drawn from high-risk fields to propose best practices for minimizing mundane mistakes in psychology labs.