Peter M. Bentler
Distinguished Research Professor
at University of California Los Angeles (UCLA)
📚 Distinguished Research Professor at UCLA
|
Los Angeles, California, United States
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👤 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
University of California Los Angeles (UCLA)
·
March 1965 -
Present
🎓 Education
Stanford University
Ph.D. in
clinical psychology
· 1964
🎤 Conferences & Seminars (1)
S.-Y. Lee’s Lagrange Multiplier Test in Structural Modeling: Still Useful?
University of California Los Angeles (UCLA) · Los Angeles,
California, Country ·
December 2019
No descriptions
🏆 Awards & Achievements (2)
🏆 Cattell Award for Distinguished Multivariate Research
Awarded by: Society of Multivariate Experimental Psychology || Year:
1972
Description
🏆 Lifetime Achievement Award
Awarded by: Western Psychological Association || Year:
2015
Description
Professional Memberships (1)
Psychometric Society
Member: Editorial Council || Join dt:
1984 - 1990
Country: United States
📖 Role in Research Journals (6)
Editorial Board Member
Journal: Psychological Bulletin || Publisher
Name: American Psychological Association
PB
Editorial Board Member
Journal: Journal of Educational Statistics || Publisher
Name: American Educational Research Association and American Statistical Association
JES
Editorial Board Member
Journal: Computational Statistics & Data Analysis || Publisher
Name: Elsevier
CSDA
Editorial Board Member
Journal: The Journal of Sex Research || Publisher
Name: Taylor & Francis
JSR
Editorial Board Member
Journal: Journal of Psychopathology and Clinical Science || Publisher
Name: American Psychological Association
JPCS
Editorial Board Member
Journal: Archives of Sexual Behavior || Publisher
Name: Springer Nature
ASB
Add New Journal
📚 Publications (48)
Journal: Handbook of Psychology, Second Edition
• September 2012
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...
Structural Equation Modeling (SEM)
Hypothesis Specification
Statistical Theory
Model Estimation
Model Evaluation
Model Interpretation
Risky Behavior
EQS 6.1
Large Dataset
Preteen Children
Model Fit
Goodness-of-Fit
Quantitative Analysis
Future Research Directions
Data Analysis
Structural Modeling
Empirical Research
Statistical Methods
Covariance Structure Analysis
Model Specification
SEM Applications
Journal: Psychological Bulletin
• September 1992
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...
Covariance Structure Analysis
Goodness-of-Fit Test
Chi-Square Test
Monte Carlo Study
Confirmatory Factor Analysis
Sample Size
Variate Independence
Distributional Assumptions
Kurtosis
Normal-Theory Tests
Distribution-Free Test
Satorra-Bentler Scaled Test
Model Evaluation
Statistical Testing
Fit Indices
Journal: Psychological Review
• September 1979
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...
Attitude-Behavior Relations
Structural Equation Model (SEM)
Fishbein And Ajzen Theory
Behavioral Prediction
Subjective Norms
Intentions And Behavior
Previous Behavior
Model Rejection
Model Fit
Behavioral Variability
Intention Mediation
Theoretical Framework
Alternative Models
Predictive Analysis
Model Generalization
Behavioral Domains
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• October 2021
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...
Reweighted Least Squares (RLS)
Structural Equation Modeling
Maximum Likelihood (ML)
Mean and Covariance Structures
Goodness-of-Fit Test
Small Sample Size
Monte Carlo Simulation
Empirical Rejection Frequencies
Model Misspecification
Structural equation models
Journal: Quality of Life Research
• October 2018
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...
Measurement Invariance
Black And White Dialysis Patients
KDQOL-36
Burden Of Kidney Disease
Symptoms And Problems With Kidney Disease
Effects Of Kidney Disease
Multiple Group Confirmatory Factor Analysis
Configural Model
Metric Model
Scalar Model
Differential Item Functioning
Normative Scores
US Dialysis Population
Health-Related Quality Of Life
Clinical Assessment
Survey Weights
Journal: ArXiv.org
• November 2024
Covariance Structure Analysis (CSA) or Structural Equation Modeling (SEM) is critical for political scientists measuring latent structural relationships, allowing for the simultaneous assessment of bo...
LM Test
Covariance Structure Analysis (CSA)
Structural Equation Modeling (SEM)
Model Specification
Bootstrap Method
Lagrange Multipliers
Wald Tests
Monte Carlo Simulations
Statistical Fit
Small Samples
High Degrees of Freedom
Model Fit Optimization
Measurement Error
Latent Variables
Model Specification Search
Journal: Psychological Bulletin
• November 1992
Notes that 7 of the 10 top-cited articles in the Psychological Bulletin deal with methodological topics. One of these is the P. M. Bentler and D. G. Bonett (1980) article on the assessment of fit in c...
Model Fit
Covariance Structure Models
Psychological Bulletin
Methodology
Statistical Methods
Model Assessment
Citation Study
Research Design
Measurement
Evaluation
Psychological Research
Statistical Analysis
Model Evaluation
Fit Indices
Methodological Developments
Journal: British Journal of Mathematical and Statistical Psychology
• November 1991
Research studying robustness of maximum likelihood (ML) statistics in covariance structure analysis has concluded that test statistics and standard errors are biased under severe non-normality. An est...
Maximum Likelihood (ML) Statistics
Asymptotic Distribution Free (ADF)
Covariance Structure Analysis
Scaled Test Statistic
Robust Standard Errors
Non-Normal Data
Monte Carlo Study
Model Performance
Sampling Variability
Bias Correction
Normality Violation
Symmetric Distributions
Platykurtic Distributions
Non-Symmetric Distributions
Zero Kurtotic Distributions
Statistical Robustness
Journal: Psychological Bulletin
• November 1980
Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimation developed for covaria...
Significance Tests
Goodness of Fit
Covariance Structure Models (CSMs)
Factor Analysis
Path Analysis
Structural Equation Modeling (SEM)
Maximum Likelihood Estimation (MLE)
Generalized Least Squares (GLS)
Chi-Square Test
Model Evaluation
Null Model
Model Comparison
Incremental Fit Indices
Normed Fit Index (NFI)
Nonnormed Fit Index (NNFI)
Pseudo Chi-Square Tests
Hypothesis Testing
Model Specification
Statistical Necessity
Journal: Personality and Individual Differences
• May 2007
Eight recommendations are given for the improved reporting of research based on structural equation modeling. These recommendations differ substantially from those offered by Prof. Barrett in this iss...
Structural Equation Modeling
Model Evaluation
Statistical Methods
Research Reporting
Structural Models
Model Fit Indices
Goodness-of-Fit Tests
Statistical Recommendations
Model Specification
Model Assessment
SEM Guidelines
Statistical Analysis
Research Methodology
Model Reporting
Evaluation Criteria
Statistical Recommendations
TEST STATISTIC
MODEL MODIFICATION
APPROXIMATE FIT
COMPARATIVE FIT INDEX
RMSEA
Journal: American Journal of Public Health
• May 1986
We examined the concurrent and longitudinal associations between risk factors and substance use for a sample of high school students. Ten risk factors were defined that assessed numerous important per...
Drug Use
Adolescents
Risk Factors
Substance Use
Longitudinal Analysis
Concurrent Analysis
High School Students
Cigarettes
Alcohol
Cannabis
Hard Drugs
Nonprescription Medication
Predictive Factors
Personal Factors
Social Factors
Substance Use Frequency
Substance Use Patterns
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• March 2023
This paper assesses the performance of regularized generalized least squares (RGLS) and reweighted least squares (RLS) methodologies in a confirmatory factor analysis model. Normal theory maximum like...
Covariance Structure Analysis
RGLS
RLS
Regularized Generalized Least Squares
Reweighted Least Squares
Confirmatory Factor Analysis
Maximum Likelihood
Generalized Least Squares
Monte Carlo Simulation
Model Performance
Small Sample Size
Goodness-of-Fit
Mean and Variance Adjustment
Power Analysis
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• March 2018
Basic growth curve models parameterize the mean and covariance structure of a set of repeated measures by latent factors that represent the polynomial influences of time. In practice it may be hard to...
Growth Curve Modeling
Latent Factors
Mean Structure
Covariance Structure
Repeated Measures
Polynomial Influences
Number of Factors
Polynomial Order
Model Estimation
Structural Equation Modeling
Statistical Modeling
Parameterization
Model Selection
Data Analysis
Measurement Structure
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• March 1999
This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index pre...
Cutoff Criteria
Fit Indexes
Covariance Structure Analysis
Model Fit
Maximum Likelihood (ML)
Standardized Root Mean Squared Residual (SRMR)
Tucker-Lewis Index (TLI)
Bollen's Fit Index (BL89)
Relative Noncentrality Index (RNI)
Comparative Fit Index (CFI)
Gamma Hat
McDonald's Centrality Index (Mc)
Root Mean Squared Error of Approximation (RMSEA)
Model Misspecification
Factor Covariance
Factor Loadings
Sample Size Effects
Structural Equation Modeling (SEM)
Model Evaluation
Journal: Multivariate software inc
• March 1995
Linear structural equation modeling has become an essential methodology for specifying, estimating, and testing hypothesized interrelationships among substantively meaningful variables. Historically,...
EQS
Structural Equation Modeling (SEM)
Multivariate Analysis
Computer Program
Model Estimation
Maximum Likelihood
Multinormal Distribution
Model Input
Statistical Software
Data Analysis
Matrix Algebra
Program Manual
Model Specification
Applied Statistics
Program Features
References in SEM
Theoretical Background
Statistical Methods
Research Applications
Journal: Structural equation modeling: Concepts, issues, and applications
• March 1995
consider the following issues: (a) the usefulness of the χ[superscript]2 statistic based on various estimation methods for model evaluation and selection; (b) the conceptual elaboration of and selecti...
Model Fit
Chi-Square (χ²) Statistic
Estimation Methods
Model Evaluation
Model Selection
Fit Indexes
Selection Criteria
Statistical Analysis
Structural Equation Modeling (SEM)
Goodness-of-Fit
Model Assessment
Fit Index Sensitivity
Conceptual Framework
Statistical Techniques
Research Findings
Unpublished Research
Evaluation Metrics
Model Comparison
Data Interpretation
Hypothesis Testing
Analytical Methods
Structural Modeling
Quantitative Analysis
Empirical Research
Journal: Structural equation modeling: Concepts, issues, and applications
• March 1995
In this chapter, we review the intimately related concepts of estimation and testing of structural equation models. We also make recommenda- tions about the usefulness of some of the alternatives that...
Estimation
Testing
Structural Equation Modeling (SEM)
Goodness-Of-Fit Test
Covariance Matrix
Regression Coefficients
Variances And Covariances
Model Specification
Model Evaluation
Statistical Analysis
Model Parameters
Population Covariance Matrix
SEM Literature
Model Interpretation
Model Adequacy
Parameter Estimation
Journal: Latent variables analysis: Applications for developmental research
• March 1994
developed an approach to the asymptotic behavior of covariance structure statistics that rather naturally yields corrections to the goodness-of-fit statistic of the scaling and Satterthwaite types / p...
Covariance Structure Analysis
Goodness-of-Fit Statistic
Scaling Corrections
Satterthwaite Correction
Asymptotic Behavior
Standard Error Corrections
Elliptical Distribution
Robustness
Browne-Shapiro Correction
Parameter Estimation
Statistical Theory
Model Fit Improvement
Structural Equation Modeling (SEM)
Hypothesis Testing
Covariance Matrix Adjustment
Journal: Psychological Bulletin
• March 1990
Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known po...
Comparative Fit Indexes (CFI)
Structural Models
Normed Fit Index (NFI)
Nonnormed Fit Index (NNFI)
Model Fit Evaluation
Structural Equation Modeling (SEM)
Noncentrality Parameters
Model Specification
Model Misspecification
Sample Size Effects
Bentler-Bonett Index
Bollen’s Fit Index (BL89)
Chi-Square Statistics
Model Comparison
Wald Statistics
Lagrange Multiplier Statistics
Goodness of Fit
Journal: Multivariate Behavioral Research
• March 1990
Certain aspects of model modification and evaluation are discussed, with an emphasis on some points of view that expand upon or may differ from Kaplan (1990). The usefulness of BentlerBonett indexes i...
Fit Indexes
Lagrange Multipliers
Constraint Changes
Incomplete Data
Structural Models
Bentler-Bonett Indexes
Comparative Fit Index
Model Adequacy
Noncentrality Parameter
Model Modification
Sensitivity Theorem
Parameter Estimation
Incomplete Data Methods
Structural Equation Modeling
Model Evaluation
Journal: American Behavioral Scientist
• March 1988
Using a unique data base of 654 young adults monitored since early adolescence, this study assesses the effects of adolescent drug use on young adult family formation and stability, deviant behavior,...
Adolescent Drug Use
Young Adult Development
Family Formation
Family Stability
Deviant Behavior
Sexual Behavior
Educational Pursuits
Livelihood Pursuits
Mental Health
Social Integration
Drug Crimes
Violent Crimes
Cocaine Use
Alcohol Use
Confrontational Acts
Property Crime
College Involvement
High School Graduation
Prevention Programs
Treatment
Research Methodology
Early Adolescence
Longitudinal Study
Juvenile Drug Abusers
Journal: Journal of Psychopathology and Clinical Science
• March 1988
Despite widespread concern regarding the effects of teenage drug use, there has been little effort to establish specifically what long-term consequences arise from such use and whether these adverse o...
Adolescent Drug Use
Social Support
Longitudinal Study
Young Adults
General Drug Use
Polydrug Use
Cigarettes
Hard Drug Use
Cannabis
Alcohol Use
Health Problems
Emotional Distress
Interpersonal Relationships
Prevention Strategies
Theory Development
Family Problems
Romantic Relationships
Journal: BMDP Statistical Software
• March 1985
Flex vinyl reddish-brown covers, version 2.0 in three colour-coded sections, quarto, section paginated with three different colours of sheets. Section 1 (main section): Theory and Implementation of E...
EQS Manual
Structural Equations Program
Theory and Implementation
Lagrange Multiplier Tests
Wald Tests
EQS/PC V2.10
EQS Program
Multivariate Analysis
Statistical Theory
Data Analysis
Software Documentation
Statistical Methods
Statistical Software
Structural Equation Modeling
Covariance Structure Analysis
Journal: Psychometrika
• March 1980
An interdependent multivariate linear relations model based on manifest, measured variables as well as unmeasured and unmeasurable latent variables is developed. The latent variables include primary o...
Structural Equations
Simultaneous Equations
Linear Relations
Covariance Structures
Latent Variables
Errors in Variables
Factor Analysis
Structural Models
Gradient Methods
Quasi-Newton Methods
Gauss-Newton Algorithm
Maximum Likelihood Estimates
Test Theory Model
Longitudinal Study
Model Estimation
Parametric Structure
Goodness of Fit
40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• June 2022
In structural equation modeling, researchers conduct goodness-of-fit tests to evaluate whether the specified model fits the data well. With nonnormal data, the standard goodness-of-fit test statistic...
Robust Test Statistics
Distribution Free Estimator
Goodness-of-Fit Test Statistics
Robust Standard Error
Non-Normal Data
Satorra–Bentler Statistic
Type I Error Rates
Monte Carlo Simulation
SEM Statistics
Unbiased Distribution Free Weight Matrix Estimator
Journal: Personality and Individual Differences
• June 2020
The Oxford Happiness Questionnaire (OHQ), Goal Orientation Questionnaire (GOQ), Revised Study Process Questionnaire (R-SPQ-2F), and Academic Volitional Strategy Inventory (AVSI) plus a brief demograph...
Cross-Cultural Differences
Personality
Motivation
Cognition
Asian vs. Western Societies
Oxford Happiness Questionnaire (OHQ)
Goal Orientation Questionnaire (GOQ)
Revised Study Process Questionnaire (R-SPQ-2F)
Academic Volitional Strategy Inventory (AVSI)
Learning Styles
Academic Achievement
Psychological Wellbeing
Self-Efficacy Enhancement
Stress Reducing Actions
Negative-Based Incentives
Cultural Stereotypes
Digital Connectivity
Journal: Multivariate Behavioral Research
• June 1999
Structural equation modeling is a well-known technique for studying relationships among multivariate data. In practice, high dimensional nonnormal data with small to medium sample sizes are very commo...
Structural Equation Modeling
Small Samples
Test Statistics
Nonnormal Data
Maximum Likelihood Estimation
Asymptotically Distribution Free Procedure
Model Evaluation
Monte Carlo Simulation
F-Statistic
Nonduplicated Elements
Multivariate Data
Statistical Performance
Structural Equation Models
Robust Statistics
Model Testing
Journal: Fudan Journal of the Humanities and Social Sciences
• July 2024
Most existing studies on the relationship between factor analysis (FA) and principal component analysis (PCA) focus on approximating the common factors by the first few components via the closeness be...
Kaiser–Meyer–Olkin measure of sampling adequacy
Woodbury identity
Factor Analysis (FA)
Principal Component Analysis (PCA)
Factor Loadings
Component Loadings
Latent Factors
Latent Traits
Specificities
Average Squared Canonical Correlation (ASCC)
Inverse Correlation Matrix
Unique Variances
High Dimensional Data
Statistical Analysis
Model Comparison
Closeness of Loadings
Dimensionality Reduction
Multivariate Analysis
Journal: Drug Abuse
• July 2019
Drug-taking is maintained primarily by its reinforcing effects, broadly conceived. These effects may be in the form of alleviation of pressure to perform undesirable behaviors, affect enhancement, a c...
Drug Use Theory
Prevention Programs
Reinforcing Effects
Behavioral Context
Psychological Status
Socioeconomic Resources
Social-System Variables
Drug Education Programs
Environmental Stress
Drug Relapse
Counter-Drug Behavioral Styles
Personality
Cognition
Perception
Consciousness Systems
Convergent Validity
Discriminant Validity
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• January 2025
This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been ch...
Chi-Square Test
Goodness-of-Fit
Monte Carlo Simulation
Structural Equation Modeling (SEM)
Model Fit Evaluation
Fit Indices
Model Specification
Statistical Robustness
Model Fit Indicators
Model Evaluation Techniques
Balanced Approach
Specification Reliability
Model Testing
Simulation Studies
Statistical Analysis
Journal: Structural Equation Modeling: A Multidisciplinary Journal
• January 2022
Growth curve modeling is a widely used technique in psychological, educational, and social science research. While mainstream estimators for growth curve modeling are based on normal theory, real-worl...
Distributionally Weighted Least Squares (DLS)
Growth Curve Modeling
Structural Equation Modeling (SEM)
Robust Statistics
Asymptotically Distribution Free (ADF)
Maximum Likelihood (ML)
Generalized Least Squares (GLS)
Model-Implied Covariance
Bootstrap Procedure
Satorra–Bentler Test Statistic (TSB)
Non-Normal Data
Journal: Behaviormetrika
• January 2021
The article On Averaging Variables in a Confrmatory Factor Analysis Model, written by Ke-Hai Yuan, Peter M. Bentler and Yutaka Kano, was originally published
Online First without Open Access. After p...
Confirmatory Factor Analysis (CFA)
Averaging Variables
Structural Equation Modeling (SEM)
Model Specification
Statistical Estimation
Factor Loading
Measurement Model
Journal: Psychometrika
• January 2010
A scaled difference test statistic that can be computed from standard software of structural equation models (SEM) by hand calculations was proposed in Satorra and Bentler (Psychometrika 66:507–514,...
Moment-Structures
Goodness-Of-Fit Test
Chi-Square Difference Test Statistic
Chi-Square Distribution
Nonnormality
Scaled Difference Test Statistic
Structural Equation Models (SEM)
Scaling Correction
Implicit Function Theorem
Negative Chi-Square Values
Statistical Analysis
Model Evaluation
SEM Software
Asymptotic Equivalence
Multivariate Statistical Analysis
Hand Calculations
Journal: Journal of Clinical Psychology
• January 1986
A theoretical model of adolescent behavior is examined separately for males and females (N = 722). The model hypothesizes that depression and self-derogation may lead to a lack of purpose in life, whi...
Depression
Self-Derogation
Substance Use
Suicide Ideation
Lack of Purpose in Life
Mediational Factor
Adolescent Behavior
Structural Equation Modeling
Confirmatory Factor Analysis
Gender Differences
EQS Computer Program
Psychic Discomfort
Meaninglessness
Substance Abuse
Suicide Risk
Journal: Psychometrika
• February 2025
On page 245, lines 3 and 4, of the published paper, we find the following text:
“Since tr{UdΓ} can be expressed as the trace of the product of two positive definite matrices,
tr{UdΓ} > 0, and thus c...
Positive Definite Matrix
Matrix Algebra
Scaled Difference Chi-Square Test
Structural Equation Modeling (SEM)
Trace of Matrix
Model Comparison
Matrix Rank
Matrix Decomposition
Matrix Product
Statistical Robustness
Chi-Square Test
Model Evaluation
Mathematical Correction
Statistical Theory
Asymptotic Theory
Covariance Structure Analysis
Journal: Fresenius Environmental Bulletin
• February 2021
This study aims to evaluate stakeholders' perceptions of a new forest management policy for stumpage sales in the Western Black Sea Region of Turkey. With 99.9% of the country’s forests owned by the g...
Stumpage Policy
Stakeholder Analysis
Structural Equation Modeling (SEM)
Forest Management
Turkey
Perception Analysis
General Directorate of Forest (GDF)
Forest Villagers (FV)
Forest Cooperatives (FC)
Forest Industry (FI)
Logging Contractors
Policy Revision
Participatory Approach
Timber Production
Policy Efficiency
Stakeholder Perception
Turkish Forestry
Forest Engineers
Journal: Annual Review of Psychology
• February 1996
Although covariance structure analysis is used increasingly to analyze nonexperimental data, important statistical requirements for its proper use are frequently ignored. Valid conclusions about the a...
EQS
LISREL
Covariance Structure Analysis
Latent Variables
Multivariate Analysis
Structural Modeling
Goodness-of-Fit
Model Estimation
Nonexperimental Data
Estimation Methods
Statistical Requirements
Parameter Estimates
Model Specification
Misspecification
Linear Regression
ANOVA
Journal: American Psychologist
• February 1989
During the past several years, there has been a renewed national concern about drug abuse, culminating in the current "war on drugs." In this review, we emphasize that even though child or teenage dru...
Substance Use
Substance Abuse
Children
Teenagers
Psychoactive Substances
Drug Use
Illicit Drugs
Licit Drugs
Epidemiology
Etiology
Prevention
Treatment
Consequences
Sociocultural Context
Cannabis
Cocaine
Alcohol
Cigarettes
Journal: Journal of Personality and Social Psychology
• February 1981
Confirmatory maximum likelihood estimation of linear structural equation models with latent variables was employed to evaluate the causal predominance of attitudes over behaviors. Two wave, 2 variable...
Attitude-Behavior Relations
Structural Equation Modeling (SEM)
Latent Variables
Maximum Likelihood Estimation
Cross-Lagged Models
Causal Analysis
Attitude Measurement
Behavior Prediction
Model Specification
Panel Data Analysis
Predictive Utility
Model Expansion
Attitude Impact
Behavioral Domains
Generality Assessment
Journal: Annual Review of Psychology
• February 1980
Examines multivariate analysis with latent variables and, more narrowly, linear structural equation models (simultaneous equations, path analysis, structural relations, and covariance structures) with...
Multivariate Analysis
Latent Variables
Causal Modeling
Structural Equation Modeling (SEM)
Path Analysis
Simultaneous Equations
Covariance Structures
Unobserved Variables
Model Specification
Model Testing
Model Modification
Attitude-Behavior Relations
Research Design
Statistical Methods
Mathematical Structures
Technological Developments
Journal: Psychometrika
• December 2012
Sijtsma and Pfadt (Psychometrika, 2021) provide a wide-ranging defense for the use of coefficient alpha. Alpha is practical and useful when its limitations are acceptable. This paper discusses several...
Coefficient Alpha
Reliability Estimation
FACTT Model
Classical Test Theory (CTT)
Factor Analysis (FA)
Bias-Corrected Generalized Lower Bound (glb)
Bias-Corrected Lambda-4
Covariate-Free Reliability
Specificity-Enhanced Reliability
Psychometrics
Probabilistic lower bound
Journal: Psychometrika
• December 2001
A family of scaling corrections aimed to improve the chi-square approximation of goodness-of-fit test statistics in small samples, large models, and nonnormal data was proposed in Satorra and Bentler...
Moment Structures
Goodness-of-Fit Test
Chi-Square Difference Test Statistic
Chi-Square Distribution
Nonnormality
Scaling Corrections
Satorra-Bentler (SB) Scaling
Structural Equation Models (SEM)
Model Comparison
Model Fit Evaluation
Small Sample Analysis
Large Model Testing
Monte Carlo Study
Statistical Estimation
Model Restrictions
Hypothesis Testing
Computational Methods
Covariance Structure Analysis
Journal: Psychological Methods
• December 1998
This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions...
Fit Indices
Covariance Structure Modeling
Model Misspecification
Maximum Likelihood (ML)
Generalized Least Squares (GLS)
Asymptotic Distribution-Free (ADF)
Standardized Root-Mean-Square Residual (SRMR)
Tucker-Lewis Index (TLI)
Bollen's Fit Index (BL89)
Relative Noncentrality Index (RNI)
Comparative Fit Index (CFI)
Gamma Hat
McDonald's Centrality Index (Mc)
Root-Mean-Square Error of Approximation (RMSEA)
Model Fit Evaluation
Factor Loadings
Factor Covariances
Sample Size Sensitivity
Structural Equation Modeling (SEM)
Journal: Psychological Methods
• August 2022
n real data analysis with structural equation modeling, data are unlikely to be exactly normally distributed. If we ignore the non-normality reality, the parameter estimates, standard error estimates,...
Distributionally Weighted Least Squares
Structural Equation Modeling
Maximum Likelihood
Generalized Least Squares
Asymptotically Distribution Free Estimator
Ridge GLS
Model-Implied Covariance
RMSE
Type I Error Rates
Jiang-Yuan Rank Adjusted Model Fit Test
Bootstrap Procedure
Journal: Sociological Methodology
• August 2000
Survey and longitudinal studies in the social and behavioral sciences generally contain missing data. Mean and covariance structure models play an important role in analyzing such data. Two promising...
Mean And Covariance Structure Models
Nonnormal Missing Data
Maximum-Likelihood Method
Two-Stage Approach
EM-Algorithm
Ignorable Nonresponse
Normal Theory
Model Inference
Generalized Estimating Equations
Consistent Standard Errors
Minimum Chi-Square Approach
Likelihood-Based Estimators
Asymptotic Efficiency
Likelihood Ratio Test
Missing Completely At Random (MCAR)
Monte Carlo Studies
Model Evaluation
Model Fit
Missing Data Analysis
Journal: Sociological Methods & Research
• August 1987
Practical problems that are frequently encountered in applications of covariance structure analysis are discussed and solutions are suggested. Conceptual, statistical, and practical requirements for s...
Structural Modeling
Covariance Structure Analysis (CSA)
Model Fit
Estimation Issues
Conceptual Requirements
Statistical Requirements
Practical Applications
Assumption Violations
Model Evaluation
Structural Equation Modeling (SEM)
Fit Indices
Model Specification
Analytical Solutions
Parameter Estimation
Data Interpretation
Practical Challenges
Optimization Methods
Model Validation
Statistical Techniques
Application Issues
Model Assumptions
Successful Implementation
Model Accuracy
Theoretical Considerations
Empirical Analysis
Solution Strategies
Model Refinement
Structural Equation Methods
Statistical Modeling Approaches
Advanced Modeling Techniques
Structural Analysis
Journal: Scientific Reports
• April 2023
Climate change is a critical issue of our time, and its causes, pathways, and forecasts remain a topic of broader discussion. In this paper, we present a novel data driven pathway analysis framework t...
Climate Change
Climate-Change Impacts
Climate Sciences
Global Warming
Sea Level Rise
Greenhouse Gas Emissions
Anthropogenic Emissions
COP26 Regulations
Data Driven Pathway Analysis
Dynamic Statistical Modeling
Temperature Forecasting
Sea Level Forecasting
Glacier Mass
Sea Ice Coverage
Humidity
Causal Pathways
Journal: Statistical Analysis with Missing Data, Third Edition
• April 2019
In view of ongoing research, equipment modifications, changes in governmental regulations, and the constant flow of information relating to the use of experimental reagents, equipment, and devices, th...
Statistical Analysis
Missing Data
Data Imputation
Data Analysis Techniques
Governmental Regulations
Equipment Modifications
Experimental Reagents
Data Completeness
Merchantability
Fitness For Purpose
Professional Services
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