Ecological Inference (Quantitative Applications in the by Laura Irwin Langbein

By Laura Irwin Langbein

This paper considers the potential results of constructing inferences approximately members from combination facts. It assumes an information of regression research, and explores the software of concepts designed to make the inferences in causal modelling extra trustworthy, together with a comparability among ecological regression types and ecological correlation.

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Extra info for Ecological Inference (Quantitative Applications in the Social Sciences)

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Bollen, Sociology, University of North Carolina, Chapel Hill Linda B. Bourque, Public Health, University of California, Los Angeles Jacques A. Hagenaars, Social Sciences, Tilburg University Sally Jackson, Communications, University of Arizona Richard M. Jaeger, Education, University of North Carolina, Greensboro Gary King, Department of Government, Harvard University Roger E. Kirk, Psychology, Baylor University Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University Peter Marsden, Sociology, Harvard University Helmut Norpoth, Political Science, SUNY, Stony Brook Frank L.

16 Students were then allocated to 30 groups according to their race and their parent's educational level. At one extreme, a group consisted of white students with the most highly educated parents. Nonwhite students whose parents were equally well educated comprised another group. At the other extreme, white students with the most poorly educated parents made up a distinct group, and nonwhite students whose parents had equally low education were yet another group. Thus, each group was ethnically and educationally homogeneous.

12. 03. Suppose now that an investigator has only school level data and uses the misspecified model to estimate the influence of education on achievement.

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