For advanced undergraduate and graduate courses in Social Statistics. An in-depth introduction to today’s most commonly used statistical and multivariate techniques Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors focus on the benefits and limitations of applying a technique to a data set – when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output. 0134790545 / 9780134790541 Using Multivariate Statistics, 7/e

Using Multivariate Statistics

Health, Fitness & Dieting

Tabachnick, Barbara

Fidell, Linda

Psychology & Counseling

Pearson

A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT.  In each chapter, the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by many examples. For each major model, the book provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. Also includes data sets, syntax, and output for accomplishing analyses through recent releases of MINITAB, SAS, SPSS, and SYSTAT, often neglected in software manuals.  For anyone interested in research design and analysis; especially appropriate for social sciences.

Computer-Assisted Research Design and Analysis

Business & Money

Education & Reference

Pearson/Education

Using Multivariate Statistics provides advanced students with a timely and comprehensive introduction to today’s most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher level mathematics. This long-awaited revision reflects extensive updates throughout, especially in the areas of Data Screening (Chapter 4), Multiple Regression (Chapter 5), and Logistic Regression (Chapter 12). A brand new chapter (Chapter 15) on Multilevel Linear Modeling explains techniques for dealing with hierarchical data sets. Also included are syntax and output for accomplishing many analyses through the most recent releases of SAS and SPSS. As in past editions, each technique discusses tests for assumptions of analysis (and procedures for dealing with their violation)presents a small example, hand-worked for the most basic analysisdescribes varieties of analysisdiscusses important issues (such as effect size)provides an example with a real data set from tests of assumptions to write-up of a results sectioncompares features of relevant programs

SPSS Workbook

Computers & Technology

Software

Pearson Academic Computing

A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals  Upon completing this book, readers should be able to: * Learn to conduct numerous types of multivariate statistical analyses  * Find the best technique to use  * Understand Limitations to applications  * Learn how to use SPSS and SAS syntax and output

Using Multivariate Statistics Pearson New International Edition, plus MySearchLab without eText

Pearson Education Limited

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