主観的距離評定に基づく職業認知次元と集団分化の析出

―Reduced K-meansクラスター分析の適用―

抄録

This study focuses on workers' differentiation in occupational cognition based on the subjective evaluation of distance between self and various occupations. Data from a Web survey conducted in 2013 are used. The sample consists of males or females in labor force between 20 and 59 years old. In the analyses I applied the Reduced K-means cluster analysis and 2 to 10 clusters of respondents were extracted. I adopt the 6 cluster solution with 4 dimensions. These clusters are interpreted in terms of affinity to occupations; (1) high status, (2) low status, (3) routine manual (male dominated), (4) high autonomy (male dominated), (5) personal service with professional, technical skills (female dominated), and (6) nonmanual in bureaucratic organization (female dominated). Then, I analyze the relationships between the cluster membership and several occupational traits of respondents to examine the differentiation of occupational groups. Implications of findings are discussed in terms of social class and gender segregation.