2015 - Fellow of the American Statistical Association (ASA)
2008 - Fellow of the American Educational Research Association
2007 - APA Distinguished Scientific Award for the Applications of Psychology, American Psychological Association
1975 - Fellow of the American Psychological Association (APA)
Peter M. Bentler mainly investigates Statistics, Covariance, Structural equation modeling, Statistical hypothesis testing and Goodness of fit. His research combines Econometrics and Statistics. The various areas that Peter M. Bentler examines in his Covariance study include Mean squared error, Estimation theory, Standard error and Factor analysis.
His Factor analysis research incorporates elements of Algorithm and Residual. His Z-test study, which is part of a larger body of work in Statistical hypothesis testing, is frequently linked to Nested set model, bridging the gap between disciplines. His biological study spans a wide range of topics, including Errors-in-variables models, Chi-square test, Psychological research and Measurement invariance.
Peter M. Bentler mostly deals with Statistics, Structural equation modeling, Covariance, Developmental psychology and Applied mathematics. Peter M. Bentler works mostly in the field of Statistics, limiting it down to topics relating to Econometrics and, in certain cases, Confirmatory factor analysis. His Structural equation modeling research is multidisciplinary, incorporating perspectives in Goodness of fit and Latent variable.
His Covariance research is multidisciplinary, incorporating elements of Multivariate normal distribution, Analysis of covariance and Sample size determination. His Developmental psychology study combines topics in areas such as Longitudinal study, Social psychology, Personality and Substance abuse. As a part of the same scientific family, Peter M. Bentler mostly works in the field of Applied mathematics, focusing on Covariance matrix and, on occasion, Generalized least squares and Estimation theory.
Peter M. Bentler spends much of his time researching Statistics, Structural equation modeling, Covariance, Applied mathematics and Econometrics. His study brings together the fields of Upper and lower bounds and Statistics. His Structural equation modeling study incorporates themes from Confirmatory factor analysis, Algorithm, Test and Factor analysis.
His work on Measurement invariance as part of general Confirmatory factor analysis research is often related to Health related quality of life, thus linking different fields of science. Many of his research projects under Covariance are closely connected to Structure analysis with Structure analysis, tying the diverse disciplines of science together. His work on Dummy variable as part of general Econometrics study is frequently connected to Data interpretation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His main research concerns Statistics, Structural equation modeling, Econometrics, Suicide prevention and Human factors and ergonomics. His study in Test statistic, Mean squared error, Statistic, Estimation of covariance matrices and Standard error is done as part of Statistics. In general Test statistic study, his work on PRESS statistic often relates to the realm of Cutoff, thereby connecting several areas of interest.
His Estimation of covariance matrices study necessitates a more in-depth grasp of Covariance. Peter M. Bentler interconnects Statistical theory, Upper and lower bounds, Reliability and Presentation in the investigation of issues within Structural equation modeling. Peter M. Bentler is studying Factor analysis, which is a component of Econometrics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu;Peter M. Bentler.
Structural Equation Modeling (1999)
Linear structural equations with latent variables
P. M. Bentler;David G. Weeks.
Comparative fit indexes in structural models
Peter M. Bentler.
Psychological Bulletin (1990)
Significance Tests and Goodness of Fit in the Analysis of Covariance Structures
P. M. Bentler;Douglas G. Bonett.
Psychological Bulletin (1980)
EQS : structural equations program manual
Peter M. Bentler.
Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification
Li-tze Hu;Peter M. Bentler.
Psychological Methods (1998)
Evaluating model fit.
Li-Tze Hu;Peter M. Bentler.
Practical Issues in Structural Modeling
P. M. Bentler;Chih-Ping Chou.
Sociological Methods & Research (1987)
A scaled difference chi-square test statistic for moment structure analysis.
Albert Satorra;Peter M. Bentler.
Corrections to test statistics and standard errors in covariance structure analysis.
Albert Satorra;Pete M. Bentler.
Profile was last updated on December 6th, 2021.
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