World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
47
Citations
18026
World Ranking
3265
National Ranking
1575

Mathematics

D-Index
44
Citations
16855
World Ranking
1527
National Ranking
657

Overview

Tenko Raykov is affiliated with Michigan State University in the United States. Their research primarily focuses on psychometric methodologies, statistical methods, and advanced statistical modeling techniques within the broader fields of decision sciences and mathematics.

The main subfields of study in their work include statistics and probability, management science and operations research, and computer networks and communications. Additional areas of research interest span statistics, probability and uncertainty, as well as developmental and educational psychology.

The most frequent publication venues for their research are:

  • Educational and Psychological Measurement
  • Measurement Interdisciplinary Research and Perspectives
  • Structural Equation Modeling A Multidisciplinary Journal
  • UNC Libraries
  • Quality & Quantity

Among their recent papers are the following:

  • "On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments," 2021, Educational and Psychological Measurement
  • "Examining Multidimensional Measuring Instruments for Proximity to Unidimensional Structure Using Latent Variable Modeling," 2020, Educational and Psychological Measurement
  • "On the Importance of Coefficient Alpha for Measurement Research: Loading Equality Is Not Necessary for Alpha's Utility as a Scale Reliability Index," 2022, Educational and Psychological Measurement
  • "Evaluating Cronbach's Coefficient Alpha and Testing Its Identity to Scale Reliability: A Direct Bayesian Confirmatory Factor Analysis Procedure," 2024, Measurement Interdisciplinary Research and Perspectives
  • "Model Selection and Average Proportion Explained Variance in Exploratory Factor Analysis," 2020, Educational and Psychological Measurement

Frequent coauthors collaborating with Tenko Raykov include:

  • George A. Marcoulides
  • Christine DiStefano
  • Natalja Menold
  • Martin Pusic
  • Lisa Calvocoressi

Their primary research topics involve psychometric methodologies and testing, statistical methods and Bayesian inference, behavioral and psychological studies, optimal experimental design methods, social and intergroup psychology, and mental health research topics.

Best Publications

  • A First Course in Structural Equation Modeling

    Tenko Raykov;George A. Marcoulides

  • Estimation of composite reliability for congeneric measures.

    Tenko Raykov

  • Introduction to Psychometric Theory

    Tenko Raykov;George A. Marcoulides

  • An Introduction to Applied Multivariate Analysis

    Tenko Raykov;George A. Marcoulides

  • Scale Reliability, Cronbach's Coefficient Alpha, and Violations of Essential Tau-Equivalence with Fixed Congeneric Components.

    Tenko Raykov

  • Coefficient Alpha and Composite Reliability with Interrelated Nonhomogeneous Items.

    Tenko Raykov

  • Evaluation of Variance Inflation Factors in Regression Models Using Latent Variable Modeling Methods

    Katerina M. Marcoulides;Tenko Raykov

  • Reporting structural equation modeling results in Psychology and Aging: some proposed guidelines.

    Tenko Raykov;Adrian Tomer;John R. Nesselroade

  • Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints.

    Tenko Raykov

  • Behavioral scale reliability and measurement invariance evaluation using latent variable modeling

    Tenko Raykov

  • Bias of Coefficient afor Fixed Congeneric Measures with Correlated Errors

    Tenko Raykov

  • Reliability of scales with general structure: Point and interval estimation using a structural equation modeling approach

    Tenko Raykov;Patrick E. Shrout

  • Using the Delta Method for Approximate Interval Estimation of Parameter Functions in SEM

    Tenko Raykov;George A. Marcoulides

  • Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling

    Tenko Raykov

  • Analysis of Longitudinal Studies With Missing Data Using Covariance Structure Modeling With Full-Information Maximum Likelihood.

    Tenko Raykov

  • Issues in applied structural equation modeling research

    Tenko Raykov;Keith F. Widaman

  • Thanks Coefficient Alpha, We Still Need You!.

    Tenko Raykov;George A. Marcoulides

  • Determinants of different aspects of everyday outcome in schizophrenia: The roles of negative symptoms, cognition, and functional capacity.

    Martin T. Strassnig;Tenko Raykov;Cedric O'Gorman;Christopher R. Bowie

  • On Multilevel Model Reliability Estimation From the Perspective of Structural Equation Modeling

    Tenko Raykov;George A. Marcoulides

  • Validating the measurement of real-world functional outcomes: phase I results of the VALERO study.

    Philip D. Harvey;Tenko Raykov;Elizabeth W. Twamley;Lea Vella

  • On the use of confirmatory factor analysis in personality research

    Tenko Raykov

Frequent Co-Authors

George A. Marcoulides
George A. Marcoulides University of California, Santa Barbara
Philip D. Harvey
Philip D. Harvey University of Miami
Philip B. Gorelick
Philip B. Gorelick Northwestern University
Anna Zajacova
Anna Zajacova University of Western Ontario
Peter M. Bentler
Peter M. Bentler University of California, Los Angeles
Thomas L. Patterson
Thomas L. Patterson University of California, San Diego
David L. Penn
David L. Penn University of North Carolina at Chapel Hill
Elizabeth W. Twamley
Elizabeth W. Twamley University of California, San Diego
Robert K. Heaton
Robert K. Heaton University of California, San Diego
Amy E. Pinkham
Amy E. Pinkham The University of Texas at Dallas

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