高大接続情報を踏まえた「大学教育効果」の測定:潜在クラス分析を用いた追跡調査モデルの提案

Translated title of the contribution: Measurement of Effects on College Education Including Information about Articulation from High School to College:A Suggestion for a Follow-up Study Using Latent Class Analysis

木村 拓也, 西郡 大, 山田 礼子

Research output: Contribution to journalArticlepeer-review

Abstract

<p>  In many universities, follow-up studies often aim to examine whether or not students have succeeded in their university life. However, when analyzing followup study data, considerable attention must be paid to a)the problem of selection effect, which is caused by cutting off the distribution at the passing grade, with the result that when we see the value of the correlation coefficient, there is a tendency to misinterpret it ; b)the statistical hypothesis testing problem, which is caused by using a huge amount of sample data so that even a slight difference is detected as statistically significant(p-value orχ2-value); and c)the multicollinearity problem, which is caused by a high trend toward one factor and a high coefficient of Cronbach's alpha, so that we tend to interpret the wrong sign in Multiple Regression Analysis. In order to avoid these three problems, we suggest a statistically correct method of carrying out follow-up studies.</p><p>  We used the Japan College Student Survey(JCSS)data on 6228 college students in 2007 ; this is the Japanese version of the College Student Survey (CSS)produced by the Higher Education Research Institute(HERI)of UCLA. Specifically, we used the following questions : I)Is this college your first choice or not?, II)If you could make your college choice over, would you still choose to enroll at your current college?, III)Are you satisfied with your college life?, IV) What was your average grade in high school?, V)What is the average grade you received during your college career?, and VI)Which degree will you eventually earn?. By analyzing the resulting data by means of Latent Class Analysis, we have been able to classify college students into the following 5 categories : 1)Enjoyment of university life, 2)Satisfaction with university studies, 3)Enhanced motivation after reluctant entrance, 4)Disappointed after entrance, and 5)Decreasing motivation after reluctant entrance.</p><p>  This method of carrying out a study will produce an evaluation of students from affective, behavioral and commitment perspectives, and by connecting student classifications with college student survey data and the information about articulation from high school to college, universities will obtain enough information to enable them to improve bachelor courses for each student group.</p>
Translated title of the contributionMeasurement of Effects on College Education Including Information about Articulation from High School to College:A Suggestion for a Follow-up Study Using Latent Class Analysis
Original languageJapanese
Pages (from-to)189-214
Number of pages26
Journal高等教育研究
Volume12
Issue number0
DOIs
Publication statusPublished - 2009

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