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Leah Feuerstahler

Biographic Data

ID7730169
NAMELeah Feuerstahler
GIVEN NAMESLeah
FAMILY NAMEFeuerstahler
SIGNATUREFEUERSTAHLER L
AFFILIATIONSFordham University
ORCID0000-0002-7001-8519
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Concealment and Mental Health in Binary Transgender Adults

    Open Access•Daniel Alonso, Leah Feuerstahler et al.•ARTICLE•Sex Roles•2026

  • Defining asymmetry in item response theory

    Open Access•Leah Feuerstahler, Jay Verkuilen et al.•ARTICLE•British Journal of Mathematical…•2026

    Asymmetric item response theory (asymIRT) has emerged as an important extension of classical IRT, motivated by empirical evidence and theoretical arguments that symmetric item response functions (IRFs) often inadequately describe real response processes. Despite rapid model development, there remains ambiguity regarding what constitutes asymmetry, how different models relate to one another, and how asymmetry should be quantified. This paper provi…

  • Measuring hopelessness in advanced cancer

    Leah E Walsh, Bryn Rosenfeld et al.•ARTICLE•Psychology & Health•2023

    OBJECTIVE: Hopelessness, or a sense of despair about the future, has been a growing focus of psychological research among patients with serious medical illnesses. This study evaluated the psychometric properties of the Hopelessness Assessment in Illness (HAI) questionnaire, developed specifically for those facing a life-threatening illness. Participants were 344 advanced cancer patients (e.g. lung, breast, gastrointestinal, etc.) participating in…

  • On the Performance of Semi- and Nonparametric Item Response Functions in Computer Adaptive Tests

    Open Access•Carl F Falk, Leah Feuerstahler•ARTICLE•Educational and Psychological…•2022

    Large-scale assessments often use a computer adaptive test (CAT) for selection of items and for scoring respondents. Such tests often assume a parametric form for the relationship between item responses and the underlying construct. Although semi- and nonparametric response functions could be used, there is scant research on their performance in a CAT. In this work, we compare parametric response functions versus those estimated using kernel smoo…

  • Metric Stability in Item Response Models

    Leah Feuerstahler•ARTICLE•Multivariate Behavioral Research•2022

    In item response theory, uncertainty associated with estimated item parameters can lead to greater uncertainty in subsequent analyses, such as estimating trait scores for individual examinees. Most existing methods to characterize or correct for item parameter uncertainty implicitly assume that the latent trait continuum is fixed across the posterior distribution of item parameters. However, the latent trait continuum can also be understood as an…

  • Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory

    Open Access•Leah Feuerstahler, Niels G Waller et al.•ARTICLE•Educational and Psychological…•2020

    Although item response models have grown in popularity in many areas of educational and psychological assessment, there are relatively few applications of these models in experimental psychopathology. In this article, we explore the use of item response models in the context of a computerized cognitive task designed to assess visual working memory capacity in people with psychosis as well as healthy adults. We begin our discussion by describing h…

  • Competence to Consent to Oral and Injectable PrEP Trials Among Adolescent Males Who Have Sex with Males

    Open Access•Celia B Fisher, Leah Ibrahim Puri et al.•ARTICLE•AIDS and Behavior•2020

  • Bayesian Modal Estimation of the Four-Parameter Item Response Model in Real, Realistic, and Idealized Data Sets

    Niels G Waller, Leah Feuerstahler•ARTICLE•Multivariate Behavioral Research•2017

    In this study, we explored item and person parameter recovery of the four-parameter model (4PM) in over 24,000 real, realistic, and idealized data sets. In the first analyses, we fit the 4PM and three alternative models to data from three Minnesota Multiphasic Personality Inventory-Adolescent form factor scales using Bayesian modal estimation (BME). Our results indicated that the 4PM fits these scales better than simpler item Response Theory (IRT…

No prominent works on this page.

  • Bayesian Modal Estimation of the Four-Parameter Item Response Model in Real, Realistic, and Idealized Data Sets

    Niels G Waller, Leah Feuerstahler•ARTICLE•Multivariate Behavioral Research•2017

    In this study, we explored item and person parameter recovery of the four-parameter model (4PM) in over 24,000 real, realistic, and idealized data sets. In the first analyses, we fit the 4PM and three alternative models to data from three Minnesota Multiphasic Personality Inventory-Adolescent form factor scales using Bayesian modal estimation (BME). Our results indicated that the 4PM fits these scales better than simpler item Response Theory (IRT…

  • Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory

    Open Access•Leah Feuerstahler, Niels G Waller et al.•ARTICLE•Educational and Psychological…•2020

    Although item response models have grown in popularity in many areas of educational and psychological assessment, there are relatively few applications of these models in experimental psychopathology. In this article, we explore the use of item response models in the context of a computerized cognitive task designed to assess visual working memory capacity in people with psychosis as well as healthy adults. We begin our discussion by describing h…

  • Competence to Consent to Oral and Injectable PrEP Trials Among Adolescent Males Who Have Sex with Males

    Open Access•Celia B Fisher, Leah Ibrahim Puri et al.•ARTICLE•AIDS and Behavior•2020

  • On the Performance of Semi- and Nonparametric Item Response Functions in Computer Adaptive Tests

    Open Access•Carl F Falk, Leah Feuerstahler•ARTICLE•Educational and Psychological…•2022

    Large-scale assessments often use a computer adaptive test (CAT) for selection of items and for scoring respondents. Such tests often assume a parametric form for the relationship between item responses and the underlying construct. Although semi- and nonparametric response functions could be used, there is scant research on their performance in a CAT. In this work, we compare parametric response functions versus those estimated using kernel smoo…

  • Metric Stability in Item Response Models

    Leah Feuerstahler•ARTICLE•Multivariate Behavioral Research•2022

    In item response theory, uncertainty associated with estimated item parameters can lead to greater uncertainty in subsequent analyses, such as estimating trait scores for individual examinees. Most existing methods to characterize or correct for item parameter uncertainty implicitly assume that the latent trait continuum is fixed across the posterior distribution of item parameters. However, the latent trait continuum can also be understood as an…

  • Measuring hopelessness in advanced cancer

    Leah E Walsh, Bryn Rosenfeld et al.•ARTICLE•Psychology & Health•2023

    OBJECTIVE: Hopelessness, or a sense of despair about the future, has been a growing focus of psychological research among patients with serious medical illnesses. This study evaluated the psychometric properties of the Hopelessness Assessment in Illness (HAI) questionnaire, developed specifically for those facing a life-threatening illness. Participants were 344 advanced cancer patients (e.g. lung, breast, gastrointestinal, etc.) participating in…

  • Concealment and Mental Health in Binary Transgender Adults

    Open Access•Daniel Alonso, Leah Feuerstahler et al.•ARTICLE•Sex Roles•2026

  • Defining asymmetry in item response theory

    Open Access•Leah Feuerstahler, Jay Verkuilen et al.•ARTICLE•British Journal of Mathematical…•2026

    Asymmetric item response theory (asymIRT) has emerged as an important extension of classical IRT, motivated by empirical evidence and theoretical arguments that symmetric item response functions (IRFs) often inadequately describe real response processes. Despite rapid model development, there remains ambiguity regarding what constitutes asymmetry, how different models relate to one another, and how asymmetry should be quantified. This paper provi…

Item response theory (5 works) · Psychometrics (5 works) · Psychometric Methodologies and Testing (4 works) · Advanced Statistical Modeling Techniques (3 works) · Clinical Psychology (3 works) · Computer Science (3 works) · Econometrics (3 works) · Mathematics (3 works) · Psychology (3 works) · Social Psychology (3 works)

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