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Stephen Tavares

Biographic Data

ID6629998
NAMEStephen Tavares
GIVEN NAMESStephen
FAMILY NAMETavares
SIGNATURETAVARES S
AFFILIATIONSUniversity of Virginia
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • A pragmatic measure of student-reported school climate

    Open Access•Catherine P Bradshaw, Catherine D Bradshaw et al.•ARTICLE•Journal of School Psychology•2026

    There continues to be great interest in efficient and valid methods for assessing school climate for both research and practice purposes. Consistent with this special issue on pragmatic measurement, this paper distills a previously validated 30-item measure ( Bradshaw et al., 2014 ; Bradshaw, Waasdorp, Debnam, & Lindstrom Johnson, 2014 ; Lindstrom Johnson, Reichenberg, Shukla, Waasdorp, & Bradshaw, 2019 ) into a simplified version of the three co…

  • Evidence That Growth Mixture Model Results Are Highly Sensitive to Scoring Decisions

    James Soland, Veronica Cole et al.•ARTICLE•Multivariate Behavioral Research•2025

    Interest in identifying latent growth profiles to support the psychological and social-emotional development of individuals has translated into the widespread use of growth mixture models (GMMs). In most cases, GMMs are based on scores from item responses collected using survey scales or other measures. Research already shows that GMMs can be sensitive to departures from ideal modeling conditions and that growth model results outside of GMMs are …

  • Exploring Whether Response Style Biases Manifest as Spurious Classes in Longitudinal Mixture Models

    Veronica T Cole, James Soland et al.•ARTICLE•Structural Equation Modeling: A…•2025•References: 2

No prominent works on this page.

  • Evidence That Growth Mixture Model Results Are Highly Sensitive to Scoring Decisions

    James Soland, Veronica Cole et al.•ARTICLE•Multivariate Behavioral Research•2025

    Interest in identifying latent growth profiles to support the psychological and social-emotional development of individuals has translated into the widespread use of growth mixture models (GMMs). In most cases, GMMs are based on scores from item responses collected using survey scales or other measures. Research already shows that GMMs can be sensitive to departures from ideal modeling conditions and that growth model results outside of GMMs are …

  • Exploring Whether Response Style Biases Manifest as Spurious Classes in Longitudinal Mixture Models

    Veronica T Cole, James Soland et al.•ARTICLE•Structural Equation Modeling: A…•2025•References: 2

  • A pragmatic measure of student-reported school climate

    Open Access•Catherine P Bradshaw, Catherine D Bradshaw et al.•ARTICLE•Journal of School Psychology•2026

    There continues to be great interest in efficient and valid methods for assessing school climate for both research and practice purposes. Consistent with this special issue on pragmatic measurement, this paper distills a previously validated 30-item measure ( Bradshaw et al., 2014 ; Bradshaw, Waasdorp, Debnam, & Lindstrom Johnson, 2014 ; Lindstrom Johnson, Reichenberg, Shukla, Waasdorp, & Bradshaw, 2019 ) into a simplified version of the three co…

Statistical Methods and Bayesian Inference (2 works) · Bayesian Methods and Mixture Models (1 work) · Communication in Education and Healthcare (1 work) · Computer Science (1 work) · Early Childhood Education and Development (1 work) · Econometrics (1 work) · Educational Environments and Student Outcomes (1 work) · Income, Poverty, and Inequality (1 work) · Insurance, Mortality, Demography, Risk Management (1 work) · Mathematics (1 work)

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