| 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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