Alberto Maydeu-Olivares - Publications

Psychology University of South Carolina, Columbia, SC 

53 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Shi D, DiStefano C, Maydeu-Olivares A, Lee T. Evaluating SEM Model Fit with Small Degrees of Freedom. Multivariate Behavioral Research. 1-36. PMID 33576257 DOI: 10.1080/00273171.2020.1868965  0.747
2020 Pavlov G, Maydeu-Olivares A, Shi D. Using the Standardized Root Mean Squared Residual (SRMR) to Assess Exact Fit in Structural Equation Models Educational and Psychological Measurement. 81: 110-130. PMID 33456064 DOI: 10.1177/0013164420926231  0.722
2020 Shi D, Maydeu-Olivares A. The Effect of Estimation Methods on SEM Fit Indices. Educational and Psychological Measurement. 80: 421-445. PMID 32425213 DOI: 10.1177/0013164419885164  0.752
2020 Shi D, Lee T, Fairchild AJ, Maydeu-Olivares A. Fitting Ordinal Factor Analysis Models With Missing Data: A Comparison Between Pairwise Deletion and Multiple Imputation. Educational and Psychological Measurement. 80: 41-66. PMID 31933492 DOI: 10.1177/0013164419845039  0.721
2020 Pavlov G, Shi D, Maydeu-Olivares A. Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data Structural Equation Modeling. 1-10. DOI: 10.1080/10705511.2020.1717957  0.722
2020 Revuelta J, Maydeu-Olivares A, Ximénez C. Factor Analysis for Nominal (first Choice) Data Structural Equation Modeling. 27: 781-797. DOI: 10.1080/10705511.2019.1668276  0.446
2020 Gao C, Shi D, Maydeu-Olivares A. Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study Structural Equation Modeling. 27: 192-201. DOI: 10.1080/10705511.2019.1637741  0.716
2020 Shi D, Maydeu-Olivares A, Rosseel Y. Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA Structural Equation Modeling. 27: 1-15. DOI: 10.1080/10705511.2019.1611434  0.718
2019 Maydeu-Olivares A, Shi D, Fairchild AJ. Estimating causal effects in linear regression models with observational data: The instrumental variables regression model. Psychological Methods. PMID 31294588 DOI: 10.1037/Met0000226  0.747
2019 Shi D, Lee T, Maydeu-Olivares A. Understanding the Model Size Effect on SEM Fit Indices. Educational and Psychological Measurement. 79: 310-334. PMID 30911195 DOI: 10.1177/0013164418783530  0.73
2019 Liu Y, Yang JS, Maydeu-Olivares A. Restricted Recalibration of Item Response Theory Models. Psychometrika. PMID 30895437 DOI: 10.1007/S11336-019-09667-4  0.481
2019 Pavlov G, Maydeu-Olivares A, Fairchild AJ. Effects of Applicant Faking on Forced-Choice and Likert Scores: Organizational Research Methods. 22: 710-739. DOI: 10.1177/1094428117753683  0.393
2019 Maydeu-Olivares A, Shi D, Rosseel Y. Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models Structural Equation Modeling. 26: 876-892. DOI: 10.1080/10705511.2019.1607740  0.751
2018 Shi D, Maydeu-Olivares A, DiStefano C. The Relationship Between the Standardized Root Mean Square Residual and Model Misspecification in Factor Analysis Models. Multivariate Behavioral Research. 1-19. PMID 30596259 DOI: 10.1080/00273171.2018.1476221  0.742
2018 Shi D, Song H, DiStefano C, Maydeu-Olivares A, McDaniel HL, Jiang Z. Evaluating Factorial Invariance: An Interval Estimation Approach Using Bayesian Structural Equation Modeling. Multivariate Behavioral Research. 1-22. PMID 30569738 DOI: 10.1080/00273171.2018.1514484  0.745
2018 Brown A, Maydeu-Olivares A. Ordinal Factor Analysis of Graded-Preference Questionnaire Data Structural Equation Modeling. 25: 516-529. DOI: 10.1080/10705511.2017.1392247  0.368
2018 Maydeu-Olivares A, Shi D, Rosseel Y. Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit Structural Equation Modeling. 25: 389-402. DOI: 10.1080/10705511.2017.1389611  0.745
2017 Maydeu-Olivares A. Assessing the Size of Model Misfit in Structural Equation Models. Psychometrika. PMID 28176040 DOI: 10.1007/s11336-016-9552-7  0.361
2017 Maydeu-Olivares A, Fairchild AJ, Hall AG. Goodness of Fit in Item Factor Analysis: Effect of the Number of Response Alternatives Structural Equation Modeling. 24: 495-505. DOI: 10.1080/10705511.2017.1289816  0.489
2017 Maydeu-Olivares A. Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit Structural Equation Modeling. 24: 383-394. DOI: 10.1080/10705511.2016.1269606  0.543
2017 Maydeu-Olivares A, Shi D. Effect Sizes of Model Misfit in Structural Equation Models Methodology. 13: 23-30. DOI: 10.1027/1614-2241/a000129  0.728
2017 Ng ZJ, Huebner ES, Maydeu-Olivares A, Hills KJ. Confirmatory Factor Analytic Structure and Measurement Invariance of the Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS) in a Longitudinal Sample of Adolescents Child Indicators Research. 11: 1237-1247. DOI: 10.1007/S12187-017-9468-5  0.361
2016 Maydeu-Olivares A, Hernández A, McDonald RP. A Multidimensional Ideal Point Item Response Theory Model for Binary Data. Multivariate Behavioral Research. 41: 445-72. PMID 26794914 DOI: 10.1207/s15327906mbr4104_2  0.386
2016 Maydeu-Olivares A. Further Empirical Results on Parametric Versus Non-Parametric IRT Modeling of Likert-Type Personality Data. Multivariate Behavioral Research. 40: 261-79. PMID 26760109 DOI: 10.1207/s15327906mbr4002_5  0.466
2015 Maydeu-Olivares A, Liu Y. Item diagnostics in multivariate discrete data. Psychological Methods. 20: 276-92. PMID 25867486 DOI: 10.1037/a0039015  0.408
2014 Liu Y, Maydeu-Olivares A. Identifying the Source of Misfit in Item Response Theory Models. Multivariate Behavioral Research. 49: 354-71. PMID 26765803 DOI: 10.1080/00273171.2014.910744  0.396
2014 Maydeu-Olivares A, Joe H. Assessing Approximate Fit in Categorical Data Analysis. Multivariate Behavioral Research. 49: 305-28. PMID 26765800 DOI: 10.1080/00273171.2014.911075  0.441
2013 Maydeu-Olivares A, Montaño R. How should we assess the fit of Rasch-type models? Approximating the power of goodness-of-fit statistics in categorical data analysis. Psychometrika. 78: 116-33. PMID 25107521 DOI: 10.1007/s11336-012-9293-1  0.424
2013 Maydeu-Olivares A. Why Should We Assess the Goodness-of-Fit of IRT Models? Measurement: Interdisciplinary Research & Perspective. 11: 127-137. DOI: 10.1080/15366367.2013.841511  0.339
2011 Reise S, Moore T, Maydeu-Olivares A. Target Rotations and Assessing the Impact of Model Violations on the Parameters of Unidimensional Item Response Theory Models Educational and Psychological Measurement. 71: 684-711. DOI: 10.1177/0013164410378690  0.4
2011 Brown A, Maydeu-Olivares A. Item Response Modeling of Forced-Choice Questionnaires Educational and Psychological Measurement. 71: 460-502. DOI: 10.1177/0013164410375112  0.389
2010 Maydeu-Olivares A, Brown A. Item Response Modeling of Paired Comparison and Ranking Data. Multivariate Behavioral Research. 45: 935-74. PMID 26760724 DOI: 10.1080/00273171.2010.531231  0.429
2010 Joe H, Maydeu-Olivares A. A general family of limited information goodness-of-fit statistics for multinomial data Psychometrika. 75: 393-419. DOI: 10.1007/S11336-010-9165-5  0.339
2009 Forero CG, Maydeu-Olivares A. Estimation of IRT graded response models: limited versus full information methods. Psychological Methods. 14: 275-99. PMID 19719362 DOI: 10.1037/a0015825  0.431
2009 Forero CG, Maydeu-Olivares A, Gallardo-Pujol D. Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation Structural Equation Modeling: a Multidisciplinary Journal. 16: 625-641. DOI: 10.1080/10705510903203573  0.324
2009 Maydeu-Olivares A, García-Forero C, Gallardo-Pujol D, Renom J. Testing Categorized Bivariate Normality With Two-Stage Polychoric Correlation Estimates Methodology. 5: 131-136. DOI: 10.1027/1614-2241.5.4.131  0.343
2008 Maydeu-Olivares A, Böckenholt U. Modeling subjective health outcomes: top 10 reasons to use Thurstone's method. Medical Care. 46: 346-8. PMID 18362812 DOI: 10.1097/Mlr.0B013E31816Dd8D9  0.67
2008 Coffman DL, Maydeu-Olivares A, Arnau J. Asymptotic distribution free interval estimation: For an intraclass correlation coefficient with applications to longitudinal data Methodology. 4: 4-9. DOI: 10.1027/1614-2241.4.1.4  0.303
2007 Maydeu-Olivares A, Hernández A. Identification and Small Sample Estimation of Thurstone's Unrestricted Model for Paired Comparisons Data. Multivariate Behavioral Research. 42: 323-47. PMID 26765490 DOI: 10.1080/00273170701360555  0.442
2007 Bollen KA, Maydeu-Olivares A. A polychoric instrumental variable (PIV) estimator for structural equation models with categorical variables Psychometrika. 72: 309-326. DOI: 10.1007/s11336-007-9006-3  0.483
2006 Maydeu-Olivares A, Coffman DL. Random intercept item factor analysis. Psychological Methods. 11: 344-62. PMID 17154751 DOI: 10.1037/1082-989X.11.4.344  0.384
2006 Cai L, Maydeu-Olivares A, Coffman DL, Thissen D. Limited-information goodness-of-fit testing of item response theory models for sparse 2 tables. The British Journal of Mathematical and Statistical Psychology. 59: 173-94. PMID 16709285 DOI: 10.1348/000711005X66419  0.459
2006 Maydeu-Olivares A, Cai L. A cautionary note on using G 2(dif) to assess relative model fit in categorical data analysis Multivariate Behavioral Research. 41: 55-64. DOI: 10.1207/S15327906Mbr4101_4  0.447
2006 Maydeu-Olivares A, Joe H. Limited information goodness-of-fit testing in multidimensional contingency tables Psychometrika. 71: 713-732. DOI: 10.1007/S11336-005-1295-9  0.455
2006 Joe H, Maydeu-Olivares A. On the asymptotic distribution of pearson's X 2 in cross-validation samples Psychometrika. 71: 587-592. DOI: 10.1007/S11336-005-1284-Z  0.325
2006 Maydeu-Olivares A. Limited information estimation and testing of discretized multivariate normal structural models Psychometrika. 71: 57-77. DOI: 10.1007/S11336-005-0773-4  0.399
2005 Maydeu-Olivares A, Böckenholt U. Structural equation modeling of paired-comparison and ranking data. Psychological Methods. 10: 285-304. PMID 16221029 DOI: 10.1037/1082-989X.10.3.285  0.697
2005 Maydeu-Olivares A, Joe H. Limited- And full-information estimation and goodness-of-fit testing in 2n contingency tables: A unified framework Journal of the American Statistical Association. 100: 1009-1020. DOI: 10.1198/016214504000002069  0.41
2002 Maydeu-Olivares A. Limited information estimation and testing of Thurstonian models for preference data Mathematical Social Sciences. 43: 467-483. DOI: 10.1016/S0165-4896(02)00017-3  0.375
2001 Maydeu-Olivares A. Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates Journal of Educational and Behavioral Statistics. 26: 51-71. DOI: 10.3102/10769986026001051  0.49
2001 Maydeu-Olivares A. Limited information estimation and testing of Thurstonian models for paired comparison data under multiple judgment sampling Psychometrika. 66: 209-227. DOI: 10.1007/BF02294836  0.396
1999 Maydeu-Olivares A. Thurstonian modeling of ranking data via mean and covariance structure analysis Psychometrika. 64: 325-340. DOI: 10.1007/BF02294299  0.393
1994 Maydeu-Olivares A, Drasgow F, Mead AD. Distinguishing Among Paranletric item Response Models for Polychotomous Ordered Data Applied Psychological Measurement. 18: 245-256. DOI: 10.1177/014662169401800305  0.407
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