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Powell's Q&A | September 3, 2014

Emily St. John Mandel: IMG Powell’s Q&A: Emily St. John Mandel



Describe your latest book. My new novel is called Station Eleven. It's about a traveling Shakespearean theatre company in a post-apocalyptic North... Continue »
  1. $17.47 Sale Hardcover add to wish list

    Station Eleven

    Emily St. John Mandel 9780385353304

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More copies of this ISBN

Quantitative Applications in the Social Sciences #10: Ecological Inference

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Quantitative Applications in the Social Sciences #10: Ecological Inference Cover

 

Synopses & Reviews

Synopsis:

This paper considers the possible effects of making inferences about individuals from aggregate data. It assumes a knowledge of regression analysis, and explores the utility of techniques designed to make the inferences in causal modelling more reliable, including a comparison between ecological regression models and ecological correlation.

Product Details

ISBN:
9780803909410
Author:
Langbein, Laura Irwin
Publisher:
Sage Publications (CA)
Author:
Lichtman, Allan J.
Location:
Beverly Hills, Calif. :
Subject:
Methodology
Subject:
Research
Subject:
Social sciences
Subject:
Mathematical models
Subject:
Social sciences -- Mathematical models.
Subject:
Social sciences -- Statistical methods.
Subject:
Sociology-Reference and Methodology
Edition Description:
Bibliography: p. 68-70.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
10
Publication Date:
19780131
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
72
Dimensions:
8.36x4.04x.20 in. .19 lbs.

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Related Subjects

History and Social Science » Sociology » Reference and Methodology

Quantitative Applications in the Social Sciences #10: Ecological Inference New Trade Paper
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$22.75 In Stock
Product details 72 pages Sage Publications - English 9780803909410 Reviews:
"Synopsis" by , This paper considers the possible effects of making inferences about individuals from aggregate data. It assumes a knowledge of regression analysis, and explores the utility of techniques designed to make the inferences in causal modelling more reliable, including a comparison between ecological regression models and ecological correlation.
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