logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Analysis of Multiple Dependent Variables by Patrick Dattalo ISBN 9780199773596, 0199773599

  • SKU: EBN-5143698
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.8

9 reviews
Instant download (eBook) Analysis of Multiple Dependent Variables after payment.
Authors:Patrick Dattalo
Pages:190 pages.
Year:2013
Editon:1
Publisher:Oxford University Press
Language:english
File Size:1.09 MB
Format:pdf
ISBNS:9780199773596, 0199773599
Categories: Ebooks

Product desciption

(Ebook) Analysis of Multiple Dependent Variables by Patrick Dattalo ISBN 9780199773596, 0199773599

Multivariate procedures allow social workers and other human services researchers to analyze complex, multidimensional social problems and interventions in ways that minimize oversimplification. This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (Manova), multivariate analysis of covariance (Mancova), multivariate multiple regression (Mmr), and structural equation modeling (Sem).Each procedure will be presented in a way that allows readers to compare and contrast them in terms of (1) appropriate research context; (2) required statistical assumptions, including levels of measurement of variables to be modeled; (3) analytical steps; (4) sample size; and (5) strengths and weaknesses. This invaluable guide facilitates course extensibility in scope and depth by allowing instructors to supplement course content with rigorous statistical procedures. Detailed annotated examples using Stata, Spss (Pasw), Sas, and Amos, together with additional resources, discussion of key terms, and a companion website, make this an unintimidating guide for producers and consumers of social work research knowledge.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products