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

By: Material type: TextTextSeries: Research methods for the social sciencesPublisher: San Francisco : Jossey-Bass, [2009]Copyright date: ©2009Edition: First editionDescription: xxxii, 443 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0470380039
  • 9780470380031
Other title:
  • Doing social research to test ideas
Subject(s): DDC classification:
  • 300.72 22
LOC classification:
  • HA29 .T675 2009
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.
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Includes bibliographical references (pages 419-430) and index.

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.

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