ISSN : 1229-067X
이 연구는 다수의 소검사로 이루어진 검사에서의 요인구조 추출 및 신뢰도에 대한 것이다. 여기서 소검사라고 하면 검사제작, 시행, 또는 채점에서 하나의 단위로 취급되는 문항군으로서 이 글에서는 제작단계에 중점을 둔다. 제작시 형태로 보면, 모의(시뮬레이션)과제, 시나리오 또는 큰 문단이 있고 그 아래 한 묶음의 채점항목 또는 문항군이 있는 형식을 의미한다. 이러한 검사의 자료에서는 각 소검사내의 국지적 관련성이 높아지고, 검사 전체로서 측정오차의 독립성 및 국지적 독립성(local independence)이 위배되어 요인분석의 실시 및 신뢰도 산출에 어려움이 있다. 이러한 검사 자료는 과제나 시나리오가 고정효과인지 무선효과인지에 따라 요인해석도 다르고 신뢰도의 정의도 다르다. 요인구조의 추출을 위해서는 제작시 무엇을 잴 것인지의 설계에 기초한 확인적 요인분석이 유용하며 신뢰도의 산출을 위해서는 고전검사이론에서 가정하는 오차의 독립성이 위반되는 것을 허용하며, 나아가 문항간 국지적 의존성까지 감안하는 신뢰도 산출 방식이 필요하다.
When a test comprises of multiple testlets, it is very difficult to estimate factor structure and reliability of the data collected by the test. A testlet is defined by a scenario or passage and response alternatives following it. A testlet-based test suffers difficulties of estimating factor structure because the method factors are confounded with substance factors and of estimating reliability because the measurement errors are not independent and local independence is severely challenged. In the present study, we propose an approach of applying a series of confirmatory factor analysis to analyze the data prepared in the form of multitrait-multimethod data. The approach varies depending on whether the situation effect is fixed or random. In the specification search, we adopt correlated uniqueness model to avoid estimation problems when both trait factor(s) and method factor(s) exist in a model. The final model can be transformed to a correlated uniqueness model or a method factor model depending on whether situation effect is of random effect or fixed effect. In this process, we can estimate item reliability and in turn test reliability.
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