95,30 €
105,89 €
-10% with code: EXTRA
Association Models
95,30 € 
- We will send in 10–14 business days.
Offers readers invaluable guidance on handling cross-classified data Broadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process. Ri…
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- Author: Raymond Sin-Kwok Wong
- Publisher: SAGE Publications, Inc
- ISBN-10: 1412968879
- ISBN-13: 9781412968874
- Format: 13.7 x 21.1 x 1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
Offers readers invaluable guidance on handling cross-classified dataBroadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process.
Rich illustrative examples (from data generated by the General Social Survey and other sources) demonstrate why and how association models are a better option than conventional log-linear models or non-parametric specifications.
This resource is appropriate for graduate students and researchers across the social and behavioral sciences who need to chose and apply the appropriate statistical tools to decipher and interpret cross-classified data. Students can enhance their experience by visiting the study site at www.sagepub.com/wongstudy.
EXTRA 10 % discount with code: EXTRA
95,30 €
105,89 €
We will send in 10–14 business days.
The promotion ends in 20d.01:54:58
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Raymond Sin-Kwok Wong
- Publisher: SAGE Publications, Inc
- ISBN-10: 1412968879
- ISBN-13: 9781412968874
- Format: 13.7 x 21.1 x 1 cm, softcover
- Language: English English
Offers readers invaluable guidance on handling cross-classified data
Broadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process.
Rich illustrative examples (from data generated by the General Social Survey and other sources) demonstrate why and how association models are a better option than conventional log-linear models or non-parametric specifications.
This resource is appropriate for graduate students and researchers across the social and behavioral sciences who need to chose and apply the appropriate statistical tools to decipher and interpret cross-classified data. Students can enhance their experience by visiting the study site at www.sagepub.com/wongstudy.
Broadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process.
Rich illustrative examples (from data generated by the General Social Survey and other sources) demonstrate why and how association models are a better option than conventional log-linear models or non-parametric specifications.
This resource is appropriate for graduate students and researchers across the social and behavioral sciences who need to chose and apply the appropriate statistical tools to decipher and interpret cross-classified data. Students can enhance their experience by visiting the study site at www.sagepub.com/wongstudy.
Reviews