Search Results - "Advances in methods and practices in psychological science"

Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial by Wang, Y. Andre, Rhemtulla, Mijke

“…Despite the widespread and rising popularity of structural equation modeling (SEM) in psychology, there is still much confusion surrounding how to choose an…”
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An Introduction to Linear Mixed-Effects Modeling in R by Brown, Violet A.

“…This Tutorial serves as both an approachable theoretical introduction to mixed-effects modeling and a practical introduction to how to implement mixed-effects…”
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Simulation-Based Power Analysis for Factorial Analysis of Variance Designs by Lakens, Daniël, Caldwell, Aaron R.

“…Researchers often rely on analysis of variance (ANOVA) when they report results of experiments. To ensure that a study is adequately powered to yield…”
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An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports by Scheel, Anne M., Schijen, Mitchell R. M. J., Lakens, Daniël

“…Selectively publishing results that support the tested hypotheses (“positive” results) distorts the available evidence for scientific claims. For the past…”
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Why the Cross-Lagged Panel Model Is Almost Never the Right Choice by Lucas, Richard E.

“…The cross-lagged panel model (CLPM) is a widely used technique for examining reciprocal causal effects using longitudinal data. Critics of the CLPM have noted…”
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That’s a Lot to Process! Pitfalls of Popular Path Models by Rohrer, Julia M., Hünermund, Paul, Arslan, Ruben C., Elson, Malte

“…Path models to test claims about mediation and moderation are a staple of psychology. But applied researchers may sometimes not understand the underlying…”
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Statistical Control Requires Causal Justification by Wysocki, Anna C., Lawson, Katherine M., Rhemtulla, Mijke

“…It is common practice in correlational or quasiexperimental studies to use statistical control to remove confounding effects from a regression coefficient…”
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How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction by Sommet, Nicolas, Weissman, David L., Cheutin, Nicolas, Elliot, Andrew J.

“…Power analysis for first-order interactions poses two challenges: (a) Conducting an appropriate power analysis is difficult because the typical expected effect…”
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These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis by Rohrer, Julia M., Murayama, Kou

“…In psychological science, researchers often pay particular attention to the distinction between within- and between-persons relationships in longitudinal data…”
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Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies by Lafit, Ginette, Adolf, Janne K., Dejonckheere, Egon, Myin-Germeys, Inez, Viechtbauer, Wolfgang, Ceulemans, Eva

“…In recent years, the popularity of procedures for collecting intensive longitudinal data, such as the experience-sampling method, has increased greatly. The…”
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The Failings of Conventional Mediation Analysis and a Design-Based Alternative by Bullock, John G., Green, Donald P.

“…Scholars routinely test mediation claims by using some form of measurement-of-mediation analysis whereby outcomes are regressed on treatments and mediators to…”
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Justify Your Alpha: A Primer on Two Practical Approaches by Maier, Maximilian, Lakens, Daniël

“…The default use of an alpha level of .05 is suboptimal for two reasons. First, decisions based on data can be made more efficiently by choosing an alpha level…”
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Understanding Mixed-Effects Models Through Data Simulation by DeBruine, Lisa M., Barr, Dale J.

“…Experimental designs that sample both subjects and stimuli from a larger population need to account for random effects of both subjects and stimuli using…”
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Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods by Kirtley, Olivia J., Lafit, Ginette, Achterhof, Robin, Hiekkaranta, Anu P., Myin-Germeys, Inez

“…A growing interest in understanding complex and dynamic psychological processes as they occur in everyday life has led to an increase in studies using…”
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A Primer on Bayesian Model-Averaged Meta-Analysis by Gronau, Quentin F., Heck, Daniel W., Berkhout, Sophie W., Haaf, Julia M., Wagenmakers, Eric-Jan

“…Meta-analysis is the predominant approach for quantitatively synthesizing a set of studies. If the studies themselves are of high quality, meta-analysis can…”
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Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis by Bartoš, František, Maier, Maximilian, Quintana, Daniel S., Wagenmakers, Eric-Jan

“…Meta-analyses are essential for cumulative science, but their validity can be compromised by publication bias. To mitigate the impact of publication bias, one…”
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The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R by Rousselet, Guillaume A., Pernet, Cyril R., Wilcox, Rand R.

“…The percentile bootstrap is the Swiss Army knife of statistics: It is a nonparametric method based on data-driven simulations. It can be applied to many…”
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A Traveler’s Guide to the Multiverse: Promises, Pitfalls, and a Framework for the Evaluation of Analytic Decisions by Del Giudice, Marco, Gangestad, Steven W.

“…Decisions made by researchers while analyzing data (e.g., how to measure variables, how to handle outliers) are sometimes arbitrary, without an objective…”
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A Causal Framework for Cross-Cultural Generalizability by Deffner, Dominik, Rohrer, Julia M., McElreath, Richard

“…Behavioral researchers increasingly recognize the need for more diverse samples that capture the breadth of human experience. Current attempts to establish…”
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Tutorial: Power Analyses for Interaction Effects in Cross-Sectional Regressions by Baranger, David A. A., Finsaas, Megan C., Goldstein, Brandon L., Vize, Colin E., Lynam, Donald R., Olino, Thomas M.

“…Interaction analyses (also termed “moderation” analyses or “moderated multiple regression”) are a form of linear regression analysis designed to test whether…”
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