Treiman, Donald J.
Quantitative data analysis : doing social research to test ideas / Doing social research to test ideas Donald J. Treiman. - 1st ed. - San Francisco : Jossey-Bass, c2009. - xxxii, 443 p. : ill. ; 24 cm.
Includes bibliographical references 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. Table of contents
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.
9780470380031 (pbk. : alk. paper) 0470380039
2008038229
Social sciences--Research--Statistical methods.
Sociology--Research--Statistical methods.
HA29 / .T675 2009
300.72 / TRQ 2009
Quantitative data analysis : doing social research to test ideas / Doing social research to test ideas Donald J. Treiman. - 1st ed. - San Francisco : Jossey-Bass, c2009. - xxxii, 443 p. : ill. ; 24 cm.
Includes bibliographical references 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. Table of contents
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.
9780470380031 (pbk. : alk. paper) 0470380039
2008038229
Social sciences--Research--Statistical methods.
Sociology--Research--Statistical methods.
HA29 / .T675 2009
300.72 / TRQ 2009