Augustin Kelava
Experimental and Cognitive Psychology · 2007–2016
A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 50 citations into it; #9,555 of 9,731 by trust here, #4,444 by citations
- Statistics and Probability — 40 citations into it; #10,113 of 12,932 by trust here, #6,552 by citations
- Social Psychology — 30 citations into it
- Education — 21 citations into it
- Management Science and Operations Research — 17 citations into it
- Computer Networks and Communications — 11 citations into it; #3,927 of 9,886 by trust here, #6,788 by citations
- Food Science — 11 citations into it; #1,674 of 1,700 by trust here, #1,237 by citations
- Applied Psychology — 8 citations into it
Whom Augustin Kelava trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas G. Klein
- Herbert W. Marsh
- Zhonglin Wen
- Daniel J. Bauer
- P. Deb
- James Algina
- B. Moulder
- Helfried Moosbrugger
- B. Muthén
- A. Mooijaart
Who trusts Augustin Kelava overall
- Tammy Jiang
- Theo K. Dijkstra
- J. Gradus
- Shruti Sardeshmukh
- S. Diestel
- A. Rosellini
- Yan Wu
- Robert J. Vandenberg
- K. Schmidt
- Herbert W. Marsh
Papers from Augustin Kelava's perspective
Ordered by how strongly the researchers Augustin Kelava trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Appended Product Indicator Procedure for Nonlinear Structural Equation Analysis
- Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties
- Estimating the Dimension of a Model
- On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables
- The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling
- A Note on Estimating the Jöreskog-Yang Model for Latent Variable Interaction Using LISREL 8.3
- A new look at the statistical model identification
- Finite Mixture Models
- Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects
- Applications of structural equation modeling in psychological research. (Annual Review of Psychology)
Their papers
- Probing the Unique Contributions of Self-Concept, Task Values, and Their Interactions Using Multiple Value Facets and Multiple Academic Outcomes (2016) — 224 citations
- Challenges in Nonlinear Structural Equation Modeling (2007) — 113 citations
- Multicollinearity and missing constraints: A comparison of three approaches for the analysis of latent nonlinear effects. (2008) — 64 citations
- A Review of Confirmatory Factor Analysis for Applied Research (Second Edition) (2016) — 241 citations
- A Nonlinear Structural Equation Mixture Modeling Approach for Nonnormally Distributed Latent Predictor Variables (2014) — 61 citations
- Diagnostic competence of teachers: A process model that accounts for diagnosing learning behavior tested by means of a case scenario (2013) — 143 citations
- Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects (2011) — 178 citations