Articles with public access mandates - Alberto Maydeu-OlivaresLearn more
Available somewhere: 45
Understanding the model size effect on SEM fit indices
D Shi, T Lee, A Maydeu-Olivares
Educational and psychological measurement 79 (2), 310-334, 2019
Mandates: US National Science Foundation
Item response modeling of forced-choice questionnaires
A Brown, A Maydeu-Olivares
Educational and Psychological Measurement 71 (3), 460-502, 2011
Mandates: Government of Spain
Goodness-of-fit assessment of item response theory models
A Maydeu-Olivares
Measurement: Interdisciplinary Research and Perspectives 11 (3), 71-101, 2013
Mandates: Government of Spain
Assessing approximate fit in categorical data analysis
A Maydeu-Olivares, H Joe
Multivariate Behavioral Research 49 (4), 305-328, 2014
Mandates: Government of Spain
Assessing fit in ordinal factor analysis models: SRMR vs. RMSEA
D Shi, A Maydeu-Olivares, Y Rosseel
Structural Equation Modeling: A Multidisciplinary Journal 27 (1), 1-15, 2020
Mandates: US National Science Foundation
The effect of estimation methods on SEM fit indices
D Shi, A Maydeu-Olivares
Educational and psychological measurement 80 (3), 421-445, 2020
Mandates: US National Science Foundation, US Institute of Education Sciences, US …
How IRT can solve problems of ipsative data in forced-choice questionnaires.
A Brown, A Maydeu-Olivares
Psychological methods 18 (1), 36-52, 2013
Mandates: Government of Spain
Assessing fit in structural equation models: A Monte-Carlo evaluation of RMSEA versus SRMR confidence intervals and tests of close fit
A Maydeu-Olivares, D Shi, Y Rosseel
Structural Equation Modeling: A Multidisciplinary Journal 25 (3), 389-402, 2018
Mandates: US National Science Foundation
Using the standardized root mean squared residual (SRMR) to assess exact fit in structural equation models
G Pavlov, A Maydeu-Olivares, D Shi
Educational and Psychological Measurement 81 (1), 110-130, 2021
Mandates: US National Science Foundation
Assessing the size of model misfit in structural equation models
A Maydeu-Olivares
Psychometrika 24 (3), 533-558, 2017
Mandates: Government of Spain
The relationship between the standardized root mean square residual and model misspecification in factor analysis models
D Shi, A Maydeu-Olivares, C DiStefano
Multivariate Behavioral Research 53 (5), 676-694, 2018
Mandates: US National Science Foundation
Fitting a Thurstonian IRT model to forced-choice data using Mplus
A Brown, A Maydeu-Olivares
Behavior research methods 44, 1135-1147, 2012
Mandates: Government of Spain
Evaluating SEM model fit with small degrees of freedom
D Shi, C DiStefano, A Maydeu-Olivares, T Lee
Multivariate behavioral research 57 (2-3), 179-207, 2022
Mandates: US National Science Foundation
MAOA genotype, social exclusion and aggression: an experimental test of a gene–environment interaction
D Gallardo‐Pujol, A Andrés‐Pueyo, A Maydeu‐Olivares
Genes, Brain and Behavior 12 (1), 140-145, 2013
Mandates: Government of Spain
Comparing the fit of item response theory and factor analysis models
A Maydeu-Olivares, L Cai, A Hernández
Structural Equation Modeling: A Multidisciplinary Journal 18 (3), 333-356, 2011
Mandates: Government of Spain
Assessing cutoff values of SEM fit indices: Advantages of the unbiased SRMR index and its cutoff criterion based on communality
C Ximénez, A Maydeu-Olivares, D Shi, J Revuelta
Structural Equation Modeling: A Multidisciplinary Journal 29 (3), 368-380, 2022
Mandates: US National Science Foundation, US National Institutes of Health, Government …
Fitting ordinal factor analysis models with missing data: A comparison between pairwise deletion and multiple imputation
D Shi, T Lee, AJ Fairchild, A Maydeu-Olivares
Educational and Psychological Measurement 80 (1), 41-66, 2020
Mandates: US National Science Foundation
Instrumental variables two-stage least squares (2SLS) vs. maximum likelihood structural equation modeling of causal effects in linear regression models
A Maydeu-Olivares, D Shi, Y Rosseel
Structural Equation Modeling: A Multidisciplinary Journal 26 (6), 876-892, 2019
Mandates: US National Science Foundation
Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.
A Maydeu-Olivares, D Shi, AJ Fairchild
Psychological methods 25 (2), 243, 2020
Mandates: US National Science Foundation
Evaluating the fit of IRT models
A Maydeu-Olivares
Handbook of item response theory modeling, 129-145, 2014
Mandates: Government of Spain
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