Description
| Product ID: | 9780367497477 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Advanced and Multivariate Statistical Methods |
| Subtitle: | Practical Application and Interpretation |
| Authors: | Author: Craig A. Mertler, Rachel A. Vannatta, Kristina N. LaVenia |
| Page Count: | 336 |
| Subjects: | Research methods: general, Research methods: general, Psychological methodology, Econometrics and economic statistics, Econometrics and economic statistics, Psychological methodology, Econometrics, Economic statistics |
| Description: | Select Guide Rating 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. Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition
Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing. |
| Imprint Name: | Routledge |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2021-11-30 |
