Psych Methods
Introduction
Psychological Methods, 29(3)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs
—Sjobeck, Gustav R.; Boker, Steven M.; Scheidt, Carl E.; Tschacher, Wolfgang []
Causal inference for treatment effects in partially nested designs
—Liu, Xiao; Liu, Fang; Miller-Graff, Laura; Howell, Kathryn H.; Wang, Lijuan []
We need to change how we compute RMSEA for nested model comparisons in structural equation modeling
—Savalei, Victoria; Brace, Jordan C.; Fouladi, Rachel T. []
Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development
—Götz, Friedrich M.; Maertens, Rakoen; Loomba, Sahil; van der Linden, Sander []
Comparing theories with the Ising model of explanatory coherence
—Maier, Maximilian; van Dongen, Noah; Borsboom, Denny []
Multilevel meta-analysis of single-case experimental designs using robust variance estimation
—Chen, Man; Pustejovsky, James E. []
A structural after measurement approach to structural equation modeling
—Rosseel, Yves; Loh, Wen Wei []
Causal definitions versus casual estimation: Reply to Valente et al. (2022)
—Brandt, Holger []
Practical implications of equating equivalence tests: Reply to Campbell and Gustafson (2022)
—Linde, Maximilian; Tendeiro, Jorge N.; Wagenmakers, Eric-Jan; van Ravenzwaaij, Don []
An overview of alternative formats to the Likert format: A comment on Wilson et al. (2022)
—Zhang, Xijuan; Savalei, Victoria []
The Bayes factor, HDI-ROPE, and frequentist equivalence tests can all be reverse engineered—Almost exactly—From one another: Reply to Linde et al. (2021)
—Campbell, Harlan; Gustafson, Paul []