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ERIC Number: ED411979
Record Type: Non-Journal
Publication Date: 1997-Apr
Pages: 25
Abstractor: N/A
Reference Count: N/A
Exploring Pattern of Socialisation Conditions and Human Development by Nonlinear Multivariate Analysis.
Grundmann, Matthias
Following the assumptions of ecological socialization research, adequate analysis of socialization conditions must take into account the multilevel and multivariate structure of social factors that impact on human development. This statement implies that complex models of family configurations or of socialization factors are needed to explain the variance in developmental paths and outcomes. This paper describes a method for exploring, describing, and constructing patterns of socialization conditions for human development. Socialization data from a longitudinal sample of 121 urban Icelandic children are used to illustrate how typical methodological problems (irregularities of shape, dispersion, multilinearity, multidimensionality) in socialization data can be solved by nonlinear multivariate analysis. The paper claims that such analysis optimizes the distribution of variables, reduces the complexity of data by minimizing loss of variance, and provides a successful exploratory analysis. Thus, central methodological problems that can arise from the measurement and the interference between socialization data can be solved. (EV)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A