@article{oai:nagoya.repo.nii.ac.jp:00014214, author = {杉本, 英晴 and SUGIMOTO, Hideharu}, journal = {名古屋大学大学院教育発達科学研究科紀要. 心理発達科学}, month = {Mar}, note = {The present study examined the representation structure of "not getting a job" among university students and the relationships between such representations and career indecision. A total of 503 university students were asked to report how they would think about "not getting a job" in an open-ended question along with two scales measuring career indecision and the representations of getting a job. Results of text mining techniques indicated that the high, middle, and low classes of the text data subscale and the representation subscale were divided into eight clusters respectively: these were "negative aspect", "chasing one's dream", "do-what-one-wants-to-do oriented", "position in society", "ambivalent aspect", "dependence on the family", "impossibility of life" and "critical aspect". The negative aspect was categorized into the same cluster as the representation of getting a job that had preventing effects on career choices, whereas the critical aspect was grouped into the same cluster as the representation with enhancing effects. The ambivalent aspect and the low class of the representation subscale were sorted into the same cluster. Furthermore, it was found that those who captured the representations of "not getting a job" as the "negative aspect", "chasing one's dream", or "do-what-one-wants-to-do oriented" were most likely to be with an undecided career. Those who regarded such representations as "position in society", "ambivalent aspect", or "impossibility of life" were less likely to have had an undecided career, while students seeing the representations as "dependence on the family" or "critical aspect" were least likely. These results confirmed that the representations of "not getting a job" among university students had various aspects, and they could possibly affect students' career indecision.}, pages = {77--89}, title = {大学生における「就職しないこと」イメージの構造と進路未決定 : テキストマイニングを用いた検討}, volume = {55}, year = {2009} }