人工歯肉付模型を用いた支台歯形成実習の多変量解析による分析 : クラスター分析の応用  [in Japanese] Multivariate Analysis of Results of Tooth Preparation Practice in Manikin Head with Artificial Gingiva : Applying Cluster Analysis  [in Japanese]

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Author(s)

    • 奥山 弥生 OKUYAMA Yayoi
    • 東北大学歯学部歯科補綴学第1講座 First Department of Prosthetic Dentistry, Tohoku University School of Dentistry

Abstract

The purpose of this study was to investigate the characteristics of tooth preparation and the relation among the evaluative criteria by applying multivariate analysis (cluster analysis, principal component analysis).<BR>The results were as follows:<BR>1. Cluster analysis showed that tooth preparation by the students could be classified into 3 clusters.<BR>2. Principal component analysis of each cluster and examination of actual tooth preparations showed the following.<BR>1) In the first cluster, the first component was related to “the quantity of occlusal reduction” and the second component was related to “the location of the margin” and “the width of the gingiva wound”.<BR>2) In the second cluster, the first component was related to “the quantity of occlusal reduction” and the second component was related to “the balance of the quantity of occlusal reduction between cusps and fossae”.<BR>3) The third cluster was singular, and principal component analysis could not be carried out.<BR>3. Principal component analysis and the correlation coefficients between evaluative regions showed that the first cluster was characterized as being comparatively well-balanced and the second was imbalanced due to the increased amount of preparation.<BR>4. This study suggested that a concrete guidance method for each cluster would enable educating students more efficiently.

Journal

  • Nihon Hotetsu Shika Gakkai Zasshi

    Nihon Hotetsu Shika Gakkai Zasshi 41(6), 915-927, 1997-12-10

    Japan Prosthodontic Society

References:  33

Cited by:  4

Codes

  • NII Article ID (NAID)
    10008167960
  • NII NACSIS-CAT ID (NCID)
    AN00197911
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    03895386
  • Data Source
    CJP  CJPref  J-STAGE 
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