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A Visual Approach to SPSS for Windows - Leonard D Stern

A Visual Approach to SPSS for Windows

A Guide to SPSS 15.0

(Autor)

Buch | Softcover
432 Seiten
2007
Pearson (Verlag)
978-0-205-54695-4 (ISBN)
CHF 64,20 inkl. MwSt
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SPSS is, essentially, a visually-driven program, but most texts rely primarily on a verbal approach to describe its use.  A Visual Approach to SPSS for Windows is the first text of its kind to employ what the author refers to as “visual sequencing” to teach student how to use SPSS. 

 

PREFACE

CHAPTER 1: THE BASICS

Starting SPSS

Exiting SPSS 

Using The Tutorial For More Information 

Exercise For Chapter 1

 

CHAPTER 2: ENTERING AND SAVING DATA 

Entering Data Using The Keyboard 

Entering Data From An Spss Data File

Entering Data From An Excel File

Entering Data From A Text (.Txt) Or Data (.Dat) File

Saving Data  

Exercises For Chapter 2 C

HAPTER 3: MODIFYING DATA IN THE DATA EDITOR 

Changing The Content Of A Data Cell 

Inserting A Variable 

Removing A Variable

Inserting A Case

Removing A Case

Exercises For Chapter 3

 

CHAPTER 4: DEFINING VARIABLES’ PROPERTIES 

Naming Variables And Declaring Their Types

Labeling Variables 

Assigning Value Labels For Categorical Numeric Variables

Adjusting Column Width And Number Of Columns In Data View

Exercises For Chapter 4 

 

CHAPTER 5: PRINTING DATA FROM THE SPSS DATA EDITOR

Printing The Entire File

Printing A Portion Of The File 

Exercises For Chapter 5

 

CHAPTER 6: THE SPSS VIEWER 

Producing And Working With Output

Inserting Text In The Viewer 

Printing The Output Visible In The Contents Pane

Exercises For Chapter 6

 

CHAPTER 7: DATA TRANSFORMATION AND CASE SELECTION

Recoding Data 

Using Visual Binning To Convert Scale To Categorical

Variables

Using Compute To Create New Variables

Selecting A Subset Of Cases For Analysis

Exercises For Chapter 7

 

CHAPTER 8: THE FREQUENCIES PROCEDURE

Information Obtained From A Frequency Distribution

Key Properties Of Distributions

Using The Frequencies Procedure 

Interpreting The Output

Options For The Frequencies Procedure

Graphing Distributions

Exercises For Chapter 8

 

CHAPTER 9: OTHER PROCEDURES FOR OBTAINING DESCRIPTIVE

MEASURES: DESCRIPTIVES, EXPLORE, MEANS

Descriptives

Explore

Means

Summary Of Procedures Providing Descriptive Measures 

Exercises For Chapter 9

 

CHAPTER 10: BIVARIATE CORRELATION AND REGRESSION 

Overview

Requesting A Scatterplot 

Requesting A Regression Analysis

Inspecting The Output

Dealing With Data That Violate Underlying Assumptions 

Finding All Possible R Values For Pairs Of Variables In A Data

Set 

Exercises For Chapter 10 

 

CHAPTER 11: MULTIPLE REGRESSION AND CORRELATION

Overview

Requesting A Multiple Regression Analysis

Interpreting The Output

Hierarchical Multiple Regression

Exploring For Optimal Independent Variables

Exercises For Chapter 11 

 

CHAPTER 12: CHI-SQUARE TESTS OF INDEPENDENCE AND GOODNESS- OF-FIT

Chi-Square Test Of Independence

Chi-Square Goodness-Of-Fit Test 

Exercises For Chapter 12 

 

CHAPTER 13: ONE AND TWO SAMPLE T-TESTS 

Overview

The Single Sample T-Test

T-Test For Two Independent Samples

T-Test For Paired Samples 

Exercises For Chapter 13 

 

CHAPTER 14: ONE-WAY ANALYSIS OF VARIANCE 

Introduction

Preparing Data For The Analysis

Requesting A One-Way Anova

Interpreting The Output

Requesting Planned Comparisons

Corrections For Multiple Tests Of Data And Post-Hoc Tests

Exercises For Chapter 14 

 

CHAPTER 15: TWO-WAY AND HIGHER ORDER ANALYSES OF VARIANCE

Overview

Three-Way Anovas 

Exercises For Chapter 15 

 

CHAPTER 16: WITHIN-SUBJECTS ANOVAS 

One-Way Within-Subjects Design 

Two-Way Within-Subjects Designs 

Combining One Within- And One Between-Subjects Factor: The

Mixed Two-Factor Design

Exercises For Chapter 16 

 

CHAPTER 17: NONPARAMETRIC OR DISTRIBUTION FREE TESTS 

Overview

Tests Involving Single Samples

Tests Involving Two Samples

Exercises For Chapter 17 

 

CHAPTER 18: EXPLORATORY FACTOR ANALYSIS

Introduction

Steps In Performing An Exploratory Factor Analysis

Deriving Principal Components

Underlying Assumptions

Preparing Data For The Analysis

Requesting An Exploratory Factor Analysis 

Interpreting The Output

Exercises For Chapter 18 

 

CHAPTER 19: DISCRIMINANT ANALYSIS 

Introduction

An Example

Outcome Of An Analysis 

Underlying Assumptions

Requesting A Discriminant Analysis

Interpreting The Output

Another Example

Exercises For Chapter 19 

 

APPENDIX A: Using The Chart Editor To Insert A Reference Line And Data Labels

APPENDIX B: Using The Chart Editor To Add A Title To The X-Axis 

REFERENCES

INDEX

Erscheint lt. Verlag 4.9.2007
Sprache englisch
Maße 216 x 276 mm
Gewicht 880 g
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
ISBN-10 0-205-54695-1 / 0205546951
ISBN-13 978-0-205-54695-4 / 9780205546954
Zustand Neuware
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