Literaturnachweis - Detailanzeige
| Autor/inn/en | Laenen, Annouschka; Alonso, Ariel; Molenberghs, Geert; Vangeneugden, Tony |
|---|---|
| Titel | Reliability of a Longitudinal Sequence of Scale Ratings |
| Quelle | In: Psychometrika, 74 (2009) 1, S.49-64 (16 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0033-3123 |
| DOI | 10.1007/s11336-008-9079-7 |
| Schlagwörter | Error of Measurement; Case Studies; Simulation; Reliability; Longitudinal Studies; Measurement Techniques; Research Methodology; Evaluation Methods; Psychometrics; Rating Scales |
| Abstract | Reliability captures the influence of error on a measurement and, in the classical setting, is defined as one minus the ratio of the error variance to the total variance. Laenen, Alonso, and Molenberghs ("Psychometrika" 73:443-448, 2007) proposed an axiomatic definition of reliability and introduced the R[subscript T] coefficient, a measure of reliability extending the classical approach to a more general longitudinal scenario. The R[subscript T] coefficient can be interpreted as the average reliability over different time points and can also be calculated for each time point separately. In this paper, we introduce a new and complementary measure, the so-called R[subscript lambda], which implies a new way of thinking about reliability. In a longitudinal context, each measurement brings additional knowledge and leads to more reliable information. The R[subscript lambda] captures this intuitive idea and expresses the reliability of the entire longitudinal sequence, in contrast to an average or occasion-specific measure. We study the measure's properties using both theoretical arguments and simulations, establish its connections with previous proposals, and elucidate its performance in a real case study. (As Provided). |
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| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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