Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (6e) : 9780205020409

# Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (6e)

Edition

6th
ISBN

9780205020409
ISBN 10

0205020402
Published

17/08/2010

P.Ed Heg USA
Pages

480
Format

Out of stock

\$122.95

##### Description

For 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.

Datasets availabale at: www.pearsonhighered.com/salkind/

Preface

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

##### New to this edition

- Book is based on SPSS 19.0 Software

- Screen shots and critical steps in the analysis have all been updated to reflect SPSS 19.0

##### Features & benefits

Create a Custom Text: For enrollments of at least 25, create your own textbook by combining chapters from best-selling Pearson textbooks and/or reading selections in the sequence you want.  To begin building your custom text, visit www.pearsoncustomlibrary.com. You may also work with a dedicated Pearson Custom editor to create your ideal text—publishing your own original content or mixing and matching Pearson content. Contact your Pearson Publisher’s Representative to get started.

What kind of obstacles do your students find when using SPSS for the first time?

1. Possible obstacles: They have to learn how to input data into the Data Editor, save and retrieve data, make transformations to data, conduct analyses, manipulate output, create graphs, edit graphs, etc.

Part I consists of seventeen lessons divided into four units. Each unit guides students through the most basic of SPSS techniques and uses a step-by-step description.

o   Unit 1, “Getting Started with SPSS,” shows the student how to get started using SPSS, including a survey of the main menus, a description of how to use SPSS Help, and a brief tour of what SPSS can do.

o   Unit 2, “Creating and Working with Data Files,” goes through the steps of defining variables, showing how data are entered and edited, how to use the data editor and the data view screens, how to print SPSS data files, and how to import and export information to and from SPSS.

o   Unit 3, “Working with Data,” describes how to find and replace data, recode and compute values, sort data, and merge and split files.

o   Unit 4, the final unit in Part I, titled “Working with SPSS Charts and Output,” teaches the student how to create and enhance SPSS charts as well as how to work with SPSS output including pivot tables. SPSS Windows (version 15) and Macintosh (version 13) differ in the way that graphics are created and edited, and, thus, there is a separate section covering each, Unit 4A for Windows and Unit 4B for the Macintosh. SPSS is becoming increasingly cross-platform and if you know the Windows version, you can easily adapt to the Macintosh version (and vice versa).

2. Possible obstacles: Students can feel helpless. Although they can point and click, they are frequently confronted with new dialogue boxes with many decisions to make. The amount of output and numbers produced by any statistical procedure is overwhelming and difficult to interpret.

Part II “Working with SPSS Procedures” consists of twenty-seven lessons, divided into six units.  Each unit presents a set of statistical techniques and a step-by-step description of how to conduct the statistical analyses.

Not written in a "cookbook" format. The authors provide extensive substantive information and extensive examples about using each statistical technique, including:

o   A brief discussion of the statistical technique under consideration.

o   Examples of how the statistic is applied.

o   The assumptions underlying the statistic.

o   A description of the effect size for the statistic.

o   A sample data set that can be analyzed with the statistic.

o   The research question associated with the data set.

o   Step-by-step instructions for how to complete the analysis using the sample data set.

o   A discussion of the results of the analysis.

o   A visual display of the results using SPSS graphic options.

o   A results section describing the results in APA format.

o   Alternative analytical techniques (when available).

o   Practice exercises.

·    Unit details of Part II include:

o   Unit 5, “Creating Variables and Computing Descriptive Statistics,” shows how to create new variables from existing ones and shows the basic procedures for describing qualitative and quantitative variables.

o   Unit 6, “t Test Procedures,” focuses on comparing means and shows how to use a variety of techniques, including independent and dependent t tests and the one-sample t test.

o   Unit 7, “Univariate and Multivariate Analysis-of-Variance Techniques,” focuses on the family of analysis-of-variance techniques, including one-way and two-way analyses of variance, analysis of covariance, and multivariate analysis of variance.

o   Unit 8, “Correlation, Regression, and Discriminant Analysis Procedures,” includes simple techniques such as bivariate correlational analysis and bivariate regression analysis, as well as more complex analyses such as partial correlational analysis, multiple linear regression, and discriminant analysis.

o   Unit 9, “Scaling Procedures,” focuses on factor analysis, reliability estimation, and item analysis.

o   Unit 10, “Nonparametric Procedures,” discusses a variety of nonparametric techniques, including such tests as the binomial, one-sample chi-square, Kruskal-Wallis, McNemar, Friedman, and Cochran tests.

How do you keep your students engaged with their text?

• After This Lesson You Will Know. In Part I, at the beginning of each lesson, students will see a list of objectives–skills that they will master when they successfully complete the content of the lesson and work through all of the exercises in the lesson. These advanced objectives indicate what you can expect, and what is expected of you.
• Key Words. Also in Part I, at the beginning of each lesson, there is a listing of key words that will be introduced and defined for the first time in the lesson. These words will be in boldface type the first time they are used.
• Typing Conventions. There is only one typing convention students must attend to throughout this book. A sequence of actions is represented by what options are selected from what menu, connected by an arrow.
• For example, if a certain procedure requires clicking on the File menu and then clicking the New option, it would be represented as follows.

§    1.   Click File  -->  New.

• Examples. Each lesson includes step-by-step procedures, with copious illustrations of screen shots, for successfully completing a technique with sample data. Exercises at the end of each lesson allow students to practice what you have learned.
• Tips. Some of the lessons contain tips (in the margins) that will help you learn SPSS and will teach you short cuts that make SPSS easier to use.