Albert Maydeu-Olivares

Management Science and Operations Research · 2001–2020

A researcher in the Science corpus: 28 papers; trusts 67 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 94 citations into it; #565 of 11,946 by trust here, #1,012 by citations
• Statistics and Probability — 66 citations into it; #1,091 of 12,932 by trust here, #2,693 by citations
• Computer Networks and Communications — 38 citations into it; #1,030 of 9,886 by trust here, #2,196 by citations
• Marketing — 24 citations into it
• Social Psychology — 21 citations into it
• Experimental and Cognitive Psychology — 20 citations into it; #7,555 of 9,731 by trust here, #6,609 by citations
• Organizational Behavior and Human Resource Management — 19 citations into it
• Applied Psychology — 18 citations into it

Whom Albert Maydeu-Olivares trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kenneth A. Bollen
2. Yves Rosseel
3. Harry Joe
4. Victoria Savalei
5. Theodore W. Anderson
6. C. Distefano
7. David A. Kenny
8. Christine E. DeMars
9. P. Lachenbruch
10. Hirotugu Akaike

Who trusts Albert Maydeu-Olivares overall

1. Dexin Shi
2. Li Cai
3. Alexander Robitzsch
4. Daniel A. Sass
5. Holmes Finch
6. Chuanji Gao
7. Harry Joe
8. Yang Liu
9. C. G. Forero
10. Michael D. Toland

Papers from Albert Maydeu-Olivares's perspective

Ordered by how strongly the researchers Albert Maydeu-Olivares trusts endorse each paper. Same corpus, a different order for every researcher.

1. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
2. Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling
3. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. (Psychological methods)
4. Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
5. Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited
6. Sensitivity of Fit Indices to Model Misspecification and Model Types
7. Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation
8. lavaan: An R Package for Structural Equation Modeling
9. Item factor analysis: current approaches and future directions. (Psychological methods)
10. Estimating the Dimension of a Model

Their papers

• Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation (2009) — 646 citations
• Limited information estimation and testing of Thurstonian models for paired comparison data under multiple judgment sampling (2001) — 83 citations
• Goodness of Fit in Item Factor Analysis: Effect of the Number of Response Alternatives (2017) — 55 citations
• Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit (2017) — 345 citations
• Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates (2001) — 52 citations
• Limited Information Goodness-of-fit Testing in Multidimensional Contingency Tables (2006) — 332 citations
• A Polychoric Instrumental Variable (PIV) Estimator for Structural Equation Models with Categorical Variables (2007) — 55 citations
• Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit (2018) — 177 citations
• Goodness-of-Fit Assessment of Item Response Theory Models (2013) — 264 citations
• Item Response Modeling of Forced-Choice Questionnaires (2011) — 294 citations
• Market orientation and business economic performance: A mediated model (2003) — 160 citations
• Exploring the link between market orientation and innovation in the European and US insurance markets (2001) — 148 citations
• Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study (2020) — 66 citations
• Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data (2020) — 59 citations
• Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA (2020) — 336 citations
• An updated paradigm for evaluating measurement invariance incorporating common method variance and its assessment (2020) — 81 citations
• Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models (2019) — 69 citations
• Understanding the Model Size Effect on SEM Fit Indices (2018) — 759 citations
• Effect Sizes of Model Misfit in Structural Equation Models: Standardized Residual Covariances and Residual Correlations (2017) — 47 citations
• Stability and Change in Consumer Traits: Evidence from a 12-Year Longitudinal Study, 2002–2013 (2015) — 86 citations