B
Benjamin D. Schalet
Researcher at Northwestern University
Publications - 55
Citations - 3057
Benjamin D. Schalet is an academic researcher from Northwestern University. The author has contributed to research in topics: Item response theory & Medicine. The author has an hindex of 18, co-authored 45 publications receiving 2052 citations.
Papers
More filters
Journal ArticleDOI
Specific Pharmacological Effects of Paroxetine Comprise Psychological but Not Somatic Symptoms of Depression
Benjamin D. Schalet,Tony Z. Tang,Robert J. DeRubeis,Steven D. Hollon,Jay D. Amsterdam,Richard C. Shelton +5 more
TL;DR: Paroxetine appears to have a “true” pharmacological effect on the psychological but not on the somatic symptoms of depression and anxiety, which appears to be mostly duplicated by placebo.
Journal ArticleDOI
Do You Recall?: Results From a Within-Person Recall Study of the Patient-Reported Outcomes Measurement Information System (PROMIS) Short Form v2.0 – Physical Function 8c
John Devin Peipert,Robert Chapman,Sara Shaunfield,Michael A. Kallen,Benjamin D. Schalet,David Cella +5 more
TL;DR: The authors did not find any significant recall period effect on PF8c responses, and recommend the use of the PROMIS physical function standard, with no specified recall time period.
Journal ArticleDOI
Montreal Accord on Patient-Reported Outcomes (PROs) use series - Commentary.
Journal ArticleDOI
Response Category Functioning on the Health Care Engagement Measure Using the Nominal Response Model.
Steven P. Reise,Anne S. Hubbard,Emily F. Wong,Benjamin D. Schalet,Mark G. Haviland,Rachel Kimerling +5 more
TL;DR: The authors fit a nominal response item response theory model to responses to the Health Care Engagement Measure (HEM) and found that higher response category distinctions, such as responding 3 (very true) versus 2 (mostly true) were considerably more discriminating than lower response categories distinctions.
Journal ArticleDOI
Psychometric evaluation of a patient-reported item bank for healthcare engagement.
TL;DR: In this paper, the authors conducted cognitive interviews followed by a nation-wide mail survey of US Veteran Administration (VA) healthcare users, where data were collected on 49 candidate healthcare engagement items, as well as measures of self-efficacy for managing symptoms, provider communication, and perceived access Items were subjected to exploratory bifactor, statistical learning, and IRT analyses Cognitive interviews were completed by 56 patients and 9552 VA healthcare users with chronic conditions completed the mail survey Participants were mostly white and male but with sizable minority participation.