文章基本信息

标题：Can diagnostic problem-solving competences of car mechatronics be validly assessed using a paper-pencil test?
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作者：Stephan Abele
期刊名称：Journal of Technical Education
电子版ISSN：2198-0306
出版年度：2016
卷号：4
期号：2
页码：190-211
出版社：Universität Stuttgart
摘要：In this study, an authentic paper-based key-feature test for electrotechnical diagnostic problem-solving competence was developed, administered to car mechatronic apprentices ( N = 206) and validated using diagnostic problem-solving scores. It was hypothesized that the paper-based test scores represent the same construct as the problem-solving scores. The written test turned out to have a relatively high reliability (EAP/PV = .75). Additionally, it was found that the paper-based scores and problem-solving scores were highly correlated ( r = .76) but represented empirically distinct dimensions. Presumably, the written test especially covered diagnostic knowledge and failed to cover other relevant subcomponents of diagnostic problem-solving competence. It is argued that this unexpected finding might be caused by construct underrepresentation and construct-irrelevant variance of the paper-based key-feature test.
其他摘要：In this study, an authentic paper-based key-feature test for electrotechnical diagnostic problem-solving competence was developed, administered to car mechatronic apprentices ( N = 206) and validated using diagnostic problem-solving scores. It was hypothesized that the paper-based test scores represent the same construct as the problem-solving scores. The written test turned out to have a relatively high reliability (EAP/PV = .75). Additionally, it was found that the paper-based scores and problem-solving scores were highly correlated ( r = .76) but represented empirically distinct dimensions. Presumably, the written test especially covered diagnostic knowledge and failed to cover other relevant subcomponents of diagnostic problem-solving competence. It is argued that this unexpected finding might be caused by construct underrepresentation and construct-irrelevant variance of the paper-based key-feature test.