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Kenneth Tyler Wilcox

Biographic Data

ID7585486
NAMEKenneth Tyler Wilcox
GIVEN NAMESKenneth Tyler
FAMILY NAMEWilcox
SIGNATUREWILCOX K T
AFFILIATIONSUniversity of Notre Dame
ORCID0000-0003-3969-0427
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • A text mining approach to characterizing interpersonal stress among individuals with a nonsuicidal self-injury history

    Open Access•Kenneth Tyler Wilcox, Ross Jacobucci et al.•ARTICLE•Current Psychology•2024

  • Affect dynamics and depressive symptomatology

    Open Access•Anthony D Ong, Lijuan Wang et al.•ARTICLE•Emotion•2024

    The inertia-instability paradox poses an intriguing question in depression research: How can the affective experiences of depressed individuals demonstrate both resistance to change and fluctuation? Prior studies examining this paradox have faced limitations, including small sample sizes, analytic approaches prone to biased parameter estimates, and inconsistent results. Using data from 842 adults ( M age = 54.31, SD = 13.25, age range: 18-88; 58.…

  • Jointly Modeling Participant-Level Data and Summary Statistics for Treatment Differences

    Kenneth Tyler Wilcox, Lijuan Wang•ARTICLE•Multivariate Behavioral Research•2022

    "Jointly Modeling Participant-Level Data and Summary Statistics for Treatment Differences." Multivariate Behavioral Research, 57(1), pp. 175–176

  • A Constructed Response Model

    Maxwell Hong, Kenneth Tyler Wilcox et al.•ARTICLE•Multivariate Behavioral Research•2021

    Text mining methods are widely used to analyze a respondent’s constructed response to open ended questions in questionnaires. A constructed response requires an individual to generate an answer rat

  • Bayesian Supervised Topic Modeling with Covariates

    Kenneth Tyler Wilcox, Ross Jacobucci et al.•ARTICLE•Multivariate Behavioral Research•2020

    "Bayesian Supervised Topic Modeling with Covariates." Multivariate Behavioral Research, 55(1), p. 141

No prominent works on this page.

  • Bayesian Supervised Topic Modeling with Covariates

    Kenneth Tyler Wilcox, Ross Jacobucci et al.•ARTICLE•Multivariate Behavioral Research•2020

    "Bayesian Supervised Topic Modeling with Covariates." Multivariate Behavioral Research, 55(1), p. 141

  • A Constructed Response Model

    Maxwell Hong, Kenneth Tyler Wilcox et al.•ARTICLE•Multivariate Behavioral Research•2021

    Text mining methods are widely used to analyze a respondent’s constructed response to open ended questions in questionnaires. A constructed response requires an individual to generate an answer rat

  • Jointly Modeling Participant-Level Data and Summary Statistics for Treatment Differences

    Kenneth Tyler Wilcox, Lijuan Wang•ARTICLE•Multivariate Behavioral Research•2022

    "Jointly Modeling Participant-Level Data and Summary Statistics for Treatment Differences." Multivariate Behavioral Research, 57(1), pp. 175–176

  • A text mining approach to characterizing interpersonal stress among individuals with a nonsuicidal self-injury history

    Open Access•Kenneth Tyler Wilcox, Ross Jacobucci et al.•ARTICLE•Current Psychology•2024

  • Affect dynamics and depressive symptomatology

    Open Access•Anthony D Ong, Lijuan Wang et al.•ARTICLE•Emotion•2024

    The inertia-instability paradox poses an intriguing question in depression research: How can the affective experiences of depressed individuals demonstrate both resistance to change and fluctuation? Prior studies examining this paradox have faced limitations, including small sample sizes, analytic approaches prone to biased parameter estimates, and inconsistent results. Using data from 842 adults ( M age = 54.31, SD = 13.25, age range: 18-88; 58.…

Computer Science (3 works) · Psychology (3 works) · Data mining (2 works) · Developmental psychology (2 works) · Econometrics (2 works) · Machine learning (2 works) · Mathematics (2 works) · Mental Health Research Topics (2 works) · Multivariate analysis (2 works) · Multivariate statistics (2 works)

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