Using Log Linear Analysis for Categorical Family Variables [microform] / Phyllis Moen
- Bib ID:
- 5367727
- Format:
- Book and Microform
- Author:
- Moen, Phyllis
- Description:
-
- [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1978
- 28 p.
- Summary:
-
The Goodman technique of log linear analysis is ideal for family research, because it is designed for categorical (non-quantitative) variables. Variables are dichotomized (for example, married/divorced, childless/with children) or otherwise categorized (for example, level of permissiveness, life cycle stage). Contingency tables are then constructed and analyzed so that variables are cross-classified; estimates of the main effects of each variable, as well as interaction effects, are determined. This technique permits sophisticated (multivariate) analysis of quantitative data, testing of interactions, and examination of the relationships among variables, without designating one as the dependent variable. There are limitations to the Goodman technique, associated with the principal statistics used (Pearson's Chi-square and the likelihood ratio statistic), and with categorizing variables. Logit analysis, a type of log linear analysis, is used to predict a dependent variable. First, the relative importance of race, sex of family head, and life cycle stage in predicting the dependent variable, financial expectation, is examined; second, interaction effects are measured, that is, the existence of a conditional relationship among two or more predictor variables and the dependent variable. The best prediction model included the direct effects of life cycle stage and sex of breadwinner. (CP)
- Notes:
-
- ERIC Note: Paper presented at the Annual Meeting of the National Council on Family Relations (Philadelphia, Pennsylvania, October, 1978).
- May also be available online. Address as at 14/8/18: https://eric.ed.gov/
- Reproduction:
- Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive.
- Subject:
- Available From:
- ERIC
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 1978
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