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『感情イメージ調査』についての研究 : 年代を経た大学生においてみられた感情イメージ構造の安定性

書誌事項

タイトル別名
  • Research on the Questionnaire on Affective Imagery (QAI) : Stability among the Structure of Affective Imagery in Current College Students and Former One

抄録

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This is a follow-up study on a special questionnaire named the Questionnaire on affective imagery (QAI) that was used in preceding studies by Takashi Uesugi over 26 years at Bunkyo University.The QAI is a list of paired words with a rating scale. The left word of each pair is an "object word" (32) like self, father, mother, family, or social. The right is an "affective word" (8) like joy, hope, love, astonishment, sorrow, fear, anger, or disgust. Uesugi wrote six research papers describing successive studies on his original questionnaire (Uesugi, T.,1981, 1982, 1983, 1989, 1998, 2000). However, Uesugi passed away in 2005 without fulfilling his goal of putting the QAI into practice. Thus, we will study the composition of affective imagery and put the QAI to practical use. First, we will study the consistency of the composition of Affective Imagery over time.Subjects were 47 male and 77 female students at Bunkyo University. Results first suggested that 8 affective images can be classified into three categories; plus or positive, neutral, and minus or negative. Like before, “astonishment” is understood to be a neutral emotion but may be a positive or negative feeling, sometimes changing from positive to negative or vice versa in the subjects in this study. Second, a parameter termed "affective value" was calculated on the basis of factor analysis. The result generally agreed with the previous study.Results confirmed that the devised questionnaire is a useful instrument and that the calculated "affective value" is a useful measure to ascertain levels of positive or negative feelings despite the substantial passage of time.

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詳細情報

  • CRID
    1050001338025164928
  • ISSN
    0388-2152
  • Web Site
    http://id.nii.ac.jp/1351/00000412/
  • 本文言語コード
    ja
  • 資料種別
    departmental bulletin paper
  • データソース種別
    • IRDB
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