Linear models in social research

著者

書誌事項

Linear models in social research

editor, Peter V. Marsden

Sage Publications, c1981

  • : pbk.

統一タイトル

Sociological methods and research

大学図書館所蔵 件 / 全21件

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注記

A selection of articles from the first nine volumes of Sociological methods and research, and one from the American sociological review, vol. 40, Feb. 1975

Bibliography: p. 319-332

収録内容

  • Issues concerning single-equation models: Standardization in causal analysis / Jae-On Kim and G. Donald Ferree. On dummy variable regression analysis / Jerry L.L. Miller and Maynard L. Erickson. Employing nominal variables, induced variables, and block variables in path analyses / David R. Heise. Interpreting polynomial regression
  • Multiequation models: The decomposition of effects in path analysis / Duane F. Alwin and Robert M. Hauser. The subculture of violence thesis / Howard S. Erlanger and Halliman H. Winsborough. Sensitivity analysis of arbitrarily identified simultaneous-equation models / Kenneth C. Land and Marcus Felson. Effect analysis in s
  • Models with unobserved variables and measurement errors: Estimation and hypothesis testing in linear models containing measurement error / J. Scott Long. Response error in earnings functions for nonblack males / William T. Bielby and Robert M. Hauser. A note on interpretational confounding of unobserved variables in structural equation models / Ronald S. Burt

内容説明・目次

内容説明

Linear models attempt to state causal laws, thought to be operative in one or more groups, organizations, or nations. These models represent the researcher's idea about the structure according to which explanatory or independent variables combine to produce variations in response (or dependent) variables. This volume deals with the increasingly complicated forms of linear models: single-equation models, multi-equation models, and models with unobserved variables and measurement error.

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