蹤獲扦夥厙

Psych Methods

Introduction

Psychological Methods, 29(1)

INTEREST CATEGORY: CONSUMER BEHAVIOR
POSTING TYPE: TOCs


A modified approach to fitting relative importance networks
Brusco, Michael; Watts, Ashley L.; Steinley, Douglas []

Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test
Brandenburg, Nils; Papenberg, Martin []

Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors
Haslbeck, Jonas M. B.; van Bork, Riet []

Factor analyzing ordinal items requires substantive knowledge of response marginals
Gr繪nneberg, Steffen; Foldnes, Nj疇l []

Equivalence testing for linear regression
Campbell, Harlan []

Waldian t tests: Sequential Bayesian t tests with controlled error probabilities
Schnuerch, Martin; Heck, Daniel W.; Erdfelder, Edgar []

Who is and is not average? Random effects selection with spike-and-slab priors
Rodriguez, Josue E.; Williams, Donald R.; Rast, Philippe []

Mixture multilevel vector-autoregressive modeling
Ernst, Anja F.; Timmerman, Marieke E.; Ji, Feng; Jeronimus, Bertus F.; Albers, Casper J. []

Comparing revised latent statetrait models including autoregressive effects
Stadtbaeumer, Nele; Kreissl, Stefanie; Mayer, Axel []

Refining the causal loop diagram: A tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling
Crielaard, Loes; Uleman, Jeroen F.; Ch璽tel, Bas D. L.; Epskamp, Sacha; Sloot, Peter M. A.; Quax, Rick []

Tutorial: Artificial neural networks to analyze single-case experimental designs
Lanovaz, Marc J.; Bailey, Jordan D. []

Efficient selection between hierarchical cognitive models: Cross-validation with variational Bayes
Dao, Viet Hung; Gunawan, David; Tran, Minh-Ngoc; Kohn, Robert; Hawkins, Guy E.; Brown, Scott D. []