요인분석의 응답순서효과
Response-Order Effects in Factor Analysis
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초록
지난 수 십 년 동안 많은 연구자들은 설문 응답의 타당도가 응답자가 응답하는 하는 과정 속에서 발생하는 인지처리과정에 의해 영향 받게 된다는 사실을 실증분석을 통해 보여 왔다. 신념과 태도를 측정하는 설문문항에 대한 응답자의 반응이 사소한 질문형식 또는 질문에 사용된 단어 등에 영향 받게 된다는 것 또한 잘 알려져 있다. 특히 질문문항의 순서에 의해 응답자의 응답순서가 달라져 응답결과가 달라지는 것을 응답순서효과(response-order effect)라고 한다. 다차원-다항목으로 측정되는 설문문항을 바탕으로 수행되는 요인분석에서도 응답순서의 영향은 존재할것으로 기대되지만, 선행연구에서는 요인분석의 질문형식에 대한 영향에 대해서는 별도의 분석은 이루어지지 않았다. 그럼에도 불구하고 많은 연구자들이 응답순서효과를 충분히 검토하지 않은 상태에서 개발된 다항목의 요인분석 설문문항을 이용하고 있다. 본 논문은 응답순서효과에 관련된 이론들을 살펴보고, 잠재변수(요인)를 도출함에 있어 그 효과를 분석하고 있다.
Abstract
During the past several decades, researchers have shown empirically that validity of survey reports is highly dependent on the cognitive processes that respondents use while answering survey questions. Context effects suggest that answers to survey questions can be affected by prior items, which may provide respondents with cognitive cues that are used to answer subsequent questions. Among the context effects of survey questions, response-order effects suggest that the order in which a response category appears will also affect its selection. Due to the previous studies, it is now well known that responses to questions measuring beliefs and attitudes may be significantly altered by apparently trivial changes in form and wording of questions or in the context in which they are asked. However, although much empirical researches have reported the effects of such changes in surveys, no study has focused on the response-order effects in factor analysis. This paper reviews previous studies and evaluates the effects in deriving latent variables (or factors) in factor analysis. Researches of the social sciences have commonly used a factor analysis in empirical studies to derive latent variables related to fundamental concept of consumer behavior, even though main purposes of researches may differ from each other. Factor analysis is not free from the response-order effects. Nevertheless, many researchers have performed a factor analysis, without considering the response-order effects, and have been using the questionnaire in which the response-order effects are not controlled. For example, some of previous studies apply factor analyses to the data obtained from the survey in which questions are presented in order of expected factor. This study compares the three forms of survey questionnaires that the response-order effects are expected to be different to each other. Subjects for this study were 188 university students in Korea. The selected service categories are family restaurant and fast food restaurant, and the selected measurement instrument is SERVQUAL that measures service quality with the 22 questions. Subjects were asked to evaluate the 22 questions of SERVQUAL that are presented as a form among the three forms of surveys (Category, Sequence, Random) for two service types (family restaurant and fast food restaurant). In the category form of surveys, the 22 questions were categorized into the 5 factors (reliability, assurance, tangibles, empathy, responsiveness) and they were presented sequentially in the order of the factors with the names of factors. In the sequence form of survey, the 22 questions were presented sequentially in the order of the factors without the names of factors. In the random form of survey, in contrast, the 22 questions were randomly presented. The correlations between the responses to questions (the items which are related to each factor) in the category condition were higher than those in the sequence condition, and those in the sequence condition were higher than those in the random condition. The results imply that researchers should be cautious of the response-order effects, and the random form of survey is the better than the sequence form of survey or the category form of survey to eliminate the response-order effects.
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