About
Dr. Peter M. Bentler is a highly esteemed American psychologist and statistician renowned for his groundbreaking contributions to psychometrics and multivariate analysis. As the developer of the widely-used structural equation modeling software EQS, Bentler has had a profound impact on the study of complex statistical relationships in psychology and beyond. His academic journey began with a doctorate in clinical psychology from Stanford University in 1964, after which he embarked on a prolific career at the University of California, Los Angeles (UCLA). There, he served in various roles, including Distinguished Professor of Psychology and Statistics, Chair of the Department of Psychology, and Director of Social Science Computing. Bentler’s impressive body of work has earned him over 300,000 citations as of 2023, a testament to his enduring influence in his field.
Throughout his illustrious career, Bentler has received numerous accolades for his contributions to science and academia. These include the Cattell Award for Distinguished Multivariate Research, the Sells Award for Outstanding Career Contributions to Multivariate Experimental Psychology, and the American Psychological Association's Distinguished Scientific Award for the Applications of Psychology. He has also held prestigious positions such as President of the Psychometric Society, the Society of Multivariate Experimental Psychology, and the Western Psychological Association. In addition, Bentler has significantly contributed to the editorial boards of prominent journals like Psychometrika and Multivariate Behavioral Research. His research has extended into diverse areas, including drug abuse prevention, through his role as Director of a National Institute on Drug Abuse research center. Bentler's career is a beacon of excellence, marked by his dedication to advancing psychological science and statistics.
Skills & Expertise
Psychometric Analysis
Psychometric Science
Structural Equation Modeling
Software Development (EQS)
Psychometric Science
Structural Equation Modeling
Software Development (EQS)
Drug Abuse Research
Behavioral Data Analysis
Advanced Statistical Methods
Experimental Psychology
Research Interests
Research Methodology
Software development
Personality
Quantitative
Academic Leadership
Psychometrics
Multivariate analysis
Clinical Psychology
Psychological measurement
Structural Equation Modeling
Statistical Relationships
Social Science Computing
Drug Abuse Prevention
Quantitative Applications
Multivariate Research
Computational Statistics
Behavioral Research
drug abuse
Connect With Me
Experience
Distinguished Research Professor
Education
Stanford University
Conferences & Seminars (1)
S.-Y. Lee’s Lagrange Multiplier Test in Structural Modeling: Still Useful?
No descriptions
Awards & Achievements (2)
🏆 Cattell Award for Distinguished Multivariate Research
Description
🏆 Lifetime Achievement Award
Description
Professional Memberships (1)
Psychometric Society
Country: United States
Role in Research Journals (6)
Editorial Board Member
PB
Editorial Board Member
JES
Editorial Board Member
CSDA
Editorial Board Member
JSR
Editorial Board Member
JPCS
Publications (48)
The first half of this chapter presents an overview of the type hypotheses, statistical theory, and major issues relevant to specifying, estimating, evaluating, and interpreting structural equation mo...
Covariance structure analysis uses χ–2 goodness-of-fit test statistics whose adequacy is not known. Scientific conclusions based on models may be distorted when researchers violate sample size, variat...
Tested 3 replications of a structural equation model that represents M. Fishbein and I. Ajzen's (see record 1978-20968-001) theoretical framework for the prediction of behavior in a panel study of 228...
Chi-square tests based on maximum likelihood (ML) estimation of covariance structures often tend to over-reject the null hypothesis, Σ = Σθ, particularly when the sample size is small. Reweighted leas...
This study assessed the measurement invariance of the Kidney Disease Quality of Life 36-item (KDQOL TM-36) Burden of Kidney Disease (BKD), Symptoms and Problems with Kidney Disease (SPKD), and Effects...
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