02765oam 2200493I 450 991014938580332120230810001251.01-315-26697-01-351-97166-21-351-97167-010.4324/9781315266978 (CKB)3710000000933606(MiAaPQ)EBC4732821(OCoLC)970389912(BIP)59823254(BIP)56670805(EXLCZ)99371000000093360620180706d2017 uy 0engurcnu||||||||rdacontentrdamediardacarrierAdvanced and multivariate statistical methods practical application and interpretation /Craig A. Mertler and Rachel Vannatta ReinhartSixth edition.New York :Routledge,2017.1 online resource (480 pages)1-138-28971-X 1-138-28973-6 Includes bibliographical references and index.ch. 1. Introduction to multivariate statistics -- ch. 2. A guide to multivariate techniques -- ch. 3. Pre-analysis data screening -- ch. 4. Factorial analysis of variance -- ch. 5. Analysis of covariance -- ch. 6. Multivariate analysis of variance and covariance -- ch. 7. Multiple regression -- ch. 8. Path analysis -- ch. 9. Factor analysis -- ch. 10. Discriminant analysis -- ch. 11. Logistic regression.Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition. All SPSS directions and screenshots have been updated to Version 23 of the software. Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics. Multivariate analysisMultivariate analysis.519.5/35Mertler Craig A.1112268Vannatta Rachel A1241108MiAaPQMiAaPQMiAaPQBOOK9910149385803321Advanced and multivariate statistical methods2879174UNINA