Special Offers see all
More at Powell'sRecently Viewed clear list |
$67.00
List price:
Used Trade Paper
Ships in 1 to 3 days
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Using SPSS for Windows and Macintosh : Analyzing and Understanding Data (5TH 08 - Old Edition)by Samuel Green
Synopses & ReviewsPlease note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.
Publisher Comments:For courses in Introductory Statistics and Research Methods courses using SPSS.
Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.
The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, create graphs of distributions of variables, and select among statistical analyses all at the click of a button. However, even with these advancements, students sometimes still find statistics to be an arduous task. They continue to be faced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Samuel Green and Neil Salkind have written a text to specifically address these issues. Synopsis: Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings. This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions for Windows and Macintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output; univariate descriptive statistics; univariate and multivariate analyses; correlation, regression, and discriminate analysis; scaling and nonparametric procedures; and more. For everyone who wants to master the latest versions of SPSS. SPSS is used in a wide range of markets, including psychology and other areas of scientific research; marketing and surveys; financial services and insurance; education; government; telecommunications; and beyond.
Table of ContentsPreface
Part I Introducing SPSS
Unit 1 Getting Started with SPSS Lesson 1 Starting SPSS Lesson 2 The SPSS Main Menus and Toolbar Lesson 3 Using SPSS Help Lesson 4 A Brief SPSS Tour Unit 2 Creating and Working with Data Files Lesson 5 Defining Variables Lesson 6 Entering and Editing Data Lesson 7 Inserting and Deleting Cases and Variables Lesson 8 Selecting, Copying, Cutting, and Pasting Data Lesson 9 Printing and Exiting an SPSS Data File Lesson 10 Exporting and Importing SPSS Data Lesson 11 Validating SPSS Data Unit 3 Working with Data Lesson 12 Finding Values, Variables, and Cases Lesson 13 Recoding Data and Computing Values Lesson 14 Sorting, Transposing, and Ranking Data Lesson 15 Splitting and Merging Files Unit 4A Working with SPSS Charts and Output for Windows Lesson 16A Creating an SPSS Chart Lesson 17A Enhancing SPSS Charts Lesson 18A Using the Viewer and Pivot Tables Unit 4B Working with SPSS Charts and Output for Macintosh Lesson 16B Creating an SPSS Chart Lesson 17B Enhancing SPSS Charts Lesson 18B Using the Viewer and Pivot Tables
Part II Working with SPSS Procedures
Unit 5 Creating Variables and Computing Descriptive Statistics Lesson 19 Creating Variables Lesson 20 Univariate Descriptive Statistics for Qualitative Variables Lesson 21 Univariate Descriptive Statistics for Quantitative Variables Unit 6 t Test Procedures Lesson 22 One-Sample t Test Lesson 23 Paired-Samples t Test Lesson 24 Independent-Samples t Test Unit 7 Univariate and Multivariate Analysis-of-Variance Techniques Lesson 25 One-Way Analysis of Variance Lesson 26 Two-Way Analysis of Variance Lesson 27 One-Way Analysis of Covariance Lesson 28 One-Way Multivariate Analysis of Variance Lesson 29 One-Way Repeated-Measures Analysis of Variance Lesson 30 Two-Way Repeated-Measures Analysis of Variance Unit 8 Correlation, Regression, and Discriminant Analysis Procedures Lesson 31 Pearson Product-Moment Correlation Coefficient Lesson 32 Partial Correlations Lesson 33 Bivariate Linear Regression Lesson 34 Multiple Linear Regression Lesson 35 Discriminant Analysis Unit 9 Scaling Procedures Lesson 36 Factor Analysis Lesson 37 Internal Consistency Estimates of Reliability Lesson 38 Item Analysis Using the Reliability Procedure Unit 10 Nonparametric Procedures Lesson 39 Binomial Test Lesson 40 One-Sample Chi-Square Test Lesson 41 Two-Way Contingency Table Analysis Using Crosstabs Lesson 42 Two Independent-Samples Test: The Mann-Whitney U Test Lesson 43 K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests Lesson 44 Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests Lesson 45 K Related-Samples Tests: The Friedman and the Cochran Tests
Appendix A Data for Crab Scale and Teacher Scale Appendix B Methods for Controlling Type I Error across Multiple Hypothesis Tests Appendix C Selected Answers to Lesson Exercises References Index What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
Other books you might likeRelated SubjectsComputers and Internet » Computers Reference » General Science and Mathematics » Mathematics » Software |
|||||||||
|
|
||||||||||
|
|
||||||||||