Foolproof Guide to Statistics Using IBM SPSS + Experimental Design & Analysis 100013 (Custom Edition) Value Pack : 2nd Edition

Adelma Hills
Foolproof Guide to Statistics Using IBM SPSS + Experimental Design & Analysis 100013 (Custom Edition) Value Pack : 2nd Edition
Foolproof Guide to Statistics Using IBM SPSS + Experimental Design & Analysis 100013 (Custom Edition) Value Pack : 2nd Edition **ISBN:** 9781486024957 **Publication Date:** 9 December 2013 **These custom editions are published for the University of Western Sydney. *Foolproof Guide to Statistics Using IBM SPSS*** The name SPSS will be used throughout this ediiton which is intended to provide a foundation for understanding statistics and the use of SPSS. It has been developed primarily for students of psychology, but has application to other disciplines where quantitative research is used (provided the reader can stand having examples drawn from psychology). **New in this edition:** - How to boxes for SPSS procedures, updated for PASW 18 - A List of How To Boxes following the Table of Contents - The new style for nonparametric tests shown in Appendix 2 - Sample Results sections updated consistent with the new edition of the APA Manual1 - A new section on overlapping confidence intervals and statistical significance (p. 141) Each chapter contains a worked example, and students are advised to treat these as tutorial exercises, working through each one, exploring the other options available in each of the SPSS procedures, examining the output that is produced, and comparing it to the extracts provided in the chapter. The shaded How to boxes show the steps needed to perform various operations and analyses, and pages illustrating output from analyses are identified by shaded bars down the outside margin. ***Experimental Design and Analysis*** This edition is compilation of chapters from *The Psychologist as Detective: An Introduction to Conducting Research in Psychology*. **Pack Items:** *Foolproof Guide to Statistic...*

‘Don’t Pay’ is the recommended retail price provided by the supplier or obtained from the manufacturer, or is the recently advertised price for the same product on a different or competing online platform or store. Catch may not have previously sold the product at the ‘Don’t Pay’ price.