Walter L. Leite

Statistics and Probability · 2002–2017

A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it; #10,562 of 12,932 by trust here, #10,855 by citations
• Management Science and Operations Research — 26 citations into it; #3,650 of 11,946 by trust here, #6,024 by citations
• Education — 19 citations into it
• Computer Networks and Communications — 14 citations into it
• Experimental and Cognitive Psychology — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Sociology and Political Science — 11 citations into it; #5,605 of 22,756 by trust here, #8,985 by citations
• Social Psychology — 10 citations into it; #11,134 of 15,694 by trust here, #7,832 by citations

Whom Walter L. Leite trusts overall

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

1. Xitao Fan
2. Peter M. Bentler
3. Dennis L. Jackson
4. D. Bandalos
5. Tenko Raykov
6. Daniel J. Bauer
7. Howard E. A. Tinsley
8. G. R. Hancock
9. Michael Eid
10. Jeroen K. Vermunt

Who trusts Walter L. Leite overall

1. Zoe Lee
2. M. Khan
3. J. Horch
4. A. Sargeant
5. David C. Hodgins
6. K. Ecklund
7. Shruti Sardeshmukh
8. K. Widaman
9. Mijke Rhemtulla
10. Yan Wu

Papers from Walter L. Leite's perspective

Ordered by how strongly the researchers Walter L. Leite 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. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
3. Analysis of Incomplete Multivariate Data (Technometrics)
4. In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
5. A Note on Estimating the Jöreskog-Yang Model for Latent Variable Interaction Using LISREL 8.3
6. Investigating population heterogeneity with factor mixture models. (Psychological methods)
7. The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling
8. Finite Mixture Models
9. Confirmatory Factor Analysis for Applied Research
10. Maximum likelihood estimation of latent interaction effects with the LMS method

Their papers

• Estimating Latent Variable Interactions with the Unconstrained Approach: A Comparison of Methods to Form Product Indicators for Large, Unequal Numbers of Items (2011) — 51 citations
• A Comparison of Latent Growth Models for Constructs Measured by Multiple Items (2007) — 65 citations
• A Reliability Generalization Study of the Marlowe-Crowne Social Desirability Scale (2002) — 271 citations
• Validation of Scores on the Marlowe-Crowne Social Desirability Scale and the Balanced Inventory of Desirable Responding (2005) — 205 citations
• Workload Manageability Among Novice Special and General Educators: Relationships With Emotional Exhaustion and Career Intentions (2017) — 111 citations
• A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis (2017) — 78 citations
• Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait–Multimethod Confirmatory Factor Analysis Models (2010) — 497 citations
• The Internal Structure of Positive and Negative Affect: A Confirmatory Factor Analysis of the PANAS (2010) — 130 citations