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Dustin A Fife

Biographic Data

ID8867416
NAMEDustin A Fife
GIVEN NAMESDustin A
FAMILY NAMEFife
SIGNATUREFIFE D A
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The evaluation of non-specific risk indicators in improving detection of psychosis-spectrum liability

    Open Access•Thomas W O’Kane, Dustin Fife et al.•ARTICLE•Current Psychology•2025

    Psychosis-spectrum disorders remain a leading cause of disability for both individuals and society, with early identification and prevention efforts representing a promising avenue of research for addressing these concerns. One potential impediment to improving early risk identification is the historical focus on indicators thought to be exclusive to the psychosis-spectrum. This focus often comes at the expense of non-specific risk factors (e.g.,…

  • Estimating Incremental Validity Under Missing Data

    Dustin Fife, Dustin A Fife et al.•ARTICLE•Multivariate Behavioral Research•2017

    A common form of missing data is caused by selection on an observed variable (e.g., Z). If the selection variable was measured and is available, the data are regarded as missing at random (MAR). Selection biases correlation, reliability, and effect size estimates when these estimates are computed on listwise deleted (LD) data sets. On the other hand, maximum likelihood (ML) estimates are generally unbiased and outperform LD in most situations, at…

  • Model Conditioned Data Elasticity in Path Analysis

    Dustin Fife, Dustin A Fife et al.•ARTICLE•Multivariate Behavioral Research•2014

    Much research has been directed at the validity of fit indices in Path Analysis and Structural Equation Modeling (e.g., Browne, MacCallum, Kim, Andersen, & Glaser, 2002 Browne, M.W., MacCallum, R.C., Kim, C.T., Andersen, B.L., & Glaser, R. (2002). When fit indices and residuals are incompatible. Psychological Methods, 7, 403–421.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Heene, Hilbert, Draxler, Ziegler, & Bühner, 2011 Heene, M.…

  • The Assessment of Reliability Under Range Restriction

    Open Access•Dustin Fife, Dustin A Fife et al.•ARTICLE•Educational and Psychological…•2012

    Though much research and attention has been directed at assessing the correlation coefficient under range restriction, the assessment of reliability under range restriction has been largely ignored. This article uses item response theory to simulate dichotomous item-level data to assess the robustness of KR-20 (α), ω, and test–retest under varying selection ratios. These estimators, both corrected and uncorrected for range restriction, were compa…

No prominent works on this page.

  • The Assessment of Reliability Under Range Restriction

    Open Access•Dustin Fife, Dustin A Fife et al.•ARTICLE•Educational and Psychological…•2012

    Though much research and attention has been directed at assessing the correlation coefficient under range restriction, the assessment of reliability under range restriction has been largely ignored. This article uses item response theory to simulate dichotomous item-level data to assess the robustness of KR-20 (α), ω, and test–retest under varying selection ratios. These estimators, both corrected and uncorrected for range restriction, were compa…

  • Model Conditioned Data Elasticity in Path Analysis

    Dustin Fife, Dustin A Fife et al.•ARTICLE•Multivariate Behavioral Research•2014

    Much research has been directed at the validity of fit indices in Path Analysis and Structural Equation Modeling (e.g., Browne, MacCallum, Kim, Andersen, & Glaser, 2002 Browne, M.W., MacCallum, R.C., Kim, C.T., Andersen, B.L., & Glaser, R. (2002). When fit indices and residuals are incompatible. Psychological Methods, 7, 403–421.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Heene, Hilbert, Draxler, Ziegler, & Bühner, 2011 Heene, M.…

  • Estimating Incremental Validity Under Missing Data

    Dustin Fife, Dustin A Fife et al.•ARTICLE•Multivariate Behavioral Research•2017

    A common form of missing data is caused by selection on an observed variable (e.g., Z). If the selection variable was measured and is available, the data are regarded as missing at random (MAR). Selection biases correlation, reliability, and effect size estimates when these estimates are computed on listwise deleted (LD) data sets. On the other hand, maximum likelihood (ML) estimates are generally unbiased and outperform LD in most situations, at…

  • The evaluation of non-specific risk indicators in improving detection of psychosis-spectrum liability

    Open Access•Thomas W O’Kane, Dustin Fife et al.•ARTICLE•Current Psychology•2025

    Psychosis-spectrum disorders remain a leading cause of disability for both individuals and society, with early identification and prevention efforts representing a promising avenue of research for addressing these concerns. One potential impediment to improving early risk identification is the historical focus on indicators thought to be exclusive to the psychosis-spectrum. This focus often comes at the expense of non-specific risk factors (e.g.,…

Econometrics (3 works) · Mathematics (3 works) · Statistics (3 works) · Advanced Statistical Modeling Techniques (2 works) · Computer Science (2 works) · Psychology (2 works) · Reliability (semiconductor) (2 works) · Accounting (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)

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