キャリア発達の構造的解析モデルに関する比較研究

概要

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The purpose of this paper is to introduce some recent methodological developments for the longitudinal data on the career development. To illustrate longitudinal data analysis by the structural equation model, two kinds of cohort data sets collected from the entire student body of a certain junior high school at four occasions (December, 1988, June, 1989, December, 1989, and December, 1990) are used. The following six kinds of analyses are conducted using the Amos: (1) Simplex model to confirm the stability of the educational career maturity scale on four occasions, (2) Latent Growth Model (LGM) to identify the growth line of educational career maturity, (3) Multivariable LGM to analyze the relationships among level factors and slope factors of educational career maturity and vocational career maturity, (4) LGM of educational maturity with achievement score as an exogenous variable, (5) LGM of career indecision sub-scale with state anxiety and trait anxiety as latent exogenous variables, and (6) Multisample simultaneous LGM analysis of educational career maturity from the two incomplete cohort data sets. Findings are discussed with particular reference to the utility of latent growth models for analyzing career development processes.
日本キャリア教育学会の論文
1999-11-01