Literaturnachweis - Detailanzeige
Autor/inn/en | Liu, Ying; Verkuilen, Jay |
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Titel | Item Response Modeling of Presence-Severity Items: Application to Measurement of Patient-Reported Outcomes |
Quelle | In: Applied Psychological Measurement, 37 (2013) 1, S.58-75 (18 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0146-6216 |
DOI | 10.1177/0146621612455091 |
Schlagwörter | Item Response Theory; Measures (Individuals); Psychometrics; Cancer; Patients; Item Analysis; Psychological Studies; Scoring; Symptoms (Individual Disorders) |
Abstract | The Presence-Severity (P-S) format refers to a compound item structure in which a question is first asked to check the presence of the particular event in question. If the respondent provides an affirmative answer, a follow-up is administered, often about the frequency, density, severity, or impact of the event. Despite the popularity of the P-S format in areas such as patient reported outcomes, little attention has been paid to their psychometric analysis, which is necessary for making key design decisions about a scale. In this study, an item response theory-based framework is proposed to perform item analysis involving P-S data, which improves psychometric analysis for (a) scoring response categories, (b) calibrating items, (c) calculating reliability or internal consistency, and (d) selecting and revising items. A real-data example involving the Memorial Symptom Assessment Scale-Short Form, which is used as symptom distress measure for terminally ill cancer patients, demonstrates how the new framework can be used to address various psychometric issues in practice. (Contains 3 tables, 5 figures and 1 note.) (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |