In this paper we apply the s* statistic, aimed to measure the inter-rater agreement between observers in case of ordinal variables, to the evaluation of the quality of University courses. The objective is to measure the inter-rater agreement between students, along with their satisfaction, in order to verify the consistency of judgments expressed by independent observers. s* is a modification of a previously proposed index, which avoids the problem of paradoxes of Cohen's and Fleiss' kappa statistics. We present the s* index from both a descriptive and an inferential point of view. In particular, as far as statistical inference is concerned, we show that s* is a biased estimator of the inter-rater agreement in the population and, under the null hypothesis of inter-rater agreement by chance, s* is asymptotically normally distributed. (C) 2014 The Authors. Published by Elsevier B.V.This is an open access article under the CC BY- NC- ND license

Marasini, D., Quatto, P., Ripamonti, E. (2014). A Measure of Ordinal Concordance for the Evaluation of University Courses. PROCEDIA ECONOMICS AND FINANCE, 17, 39-46 [10.1016/S2212-5671(14)00876-4].

A Measure of Ordinal Concordance for the Evaluation of University Courses

MARASINI, DONATA;QUATTO, PIERO;RIPAMONTI, ENRICO
2014

Abstract

In this paper we apply the s* statistic, aimed to measure the inter-rater agreement between observers in case of ordinal variables, to the evaluation of the quality of University courses. The objective is to measure the inter-rater agreement between students, along with their satisfaction, in order to verify the consistency of judgments expressed by independent observers. s* is a modification of a previously proposed index, which avoids the problem of paradoxes of Cohen's and Fleiss' kappa statistics. We present the s* index from both a descriptive and an inferential point of view. In particular, as far as statistical inference is concerned, we show that s* is a biased estimator of the inter-rater agreement in the population and, under the null hypothesis of inter-rater agreement by chance, s* is asymptotically normally distributed. (C) 2014 The Authors. Published by Elsevier B.V.This is an open access article under the CC BY- NC- ND license
Articolo in rivista - Articolo scientifico
inter-rater agreement, ordinal variables
English
2014
17
39
46
none
Marasini, D., Quatto, P., Ripamonti, E. (2014). A Measure of Ordinal Concordance for the Evaluation of University Courses. PROCEDIA ECONOMICS AND FINANCE, 17, 39-46 [10.1016/S2212-5671(14)00876-4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/52346
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