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Quantitative data analysis : doing social research to test ideas / Donald J. Treiman.

By: Treiman, Donald J.
Material type: TextTextPublisher: San Francisco : Jossey-Bass, c2009Edition: 1st ed.Description: xxxii, 443 p. : ill. ; 24 cm.ISBN: 9780470380031 (pbk. : alk. paper); 0470380039.Other title: Doing social research to test ideas.Subject(s): Social sciences -- Research -- Statistical methods | Sociology -- Research -- Statistical methodsDDC classification: 300.72 Online resources: Table of contents only | WorldCat details | E-book Fulltext
Contents:
Table of contents Cross-tubulations -- More on tables -- Still more on tables -- On the manipulation of data by computer -- Introduction to correlation and regression (ordinary least squares) -- Introduction to multiple correlation and regressions (ordinary least squares) -- Multiple regression tricks: techniques for handling special analytic problems -- Multiple imputation of missing data -- Sample design and survey estimation -- Regression diagnostics -- Scale construction -- Log-linear analysis -- Bionomial logistic regression -- Multinomial and ordinal logistic regression and tobit regression -- Improving causal inference: fixed effects and random effects modeling -- Final thoughts and future directions: research design and interpretation issues.
Summary: Summary: This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results.
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 300.72 TRQ 2009 (Browse shelf) Not For Loan
Text Text EWU Library
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Non-fiction 300.72 TRQ 2009 (Browse shelf) C-1 Not For Loan 26514
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Includes bibliographical references and index.

Table of contents Cross-tubulations --
More on tables --
Still more on tables --
On the manipulation of data by computer --
Introduction to correlation and regression (ordinary least squares) --
Introduction to multiple correlation and regressions (ordinary least squares) --
Multiple regression tricks: techniques for handling special analytic problems --
Multiple imputation of missing data --
Sample design and survey estimation --
Regression diagnostics --
Scale construction --
Log-linear analysis --
Bionomial logistic regression --
Multinomial and ordinal logistic regression and tobit regression --
Improving causal inference: fixed effects and random effects modeling --
Final thoughts and future directions: research design and interpretation issues.

Summary:
This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results.

Applied Statistics

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