SPSS 8.0 Guide to Data Analysis
Published on 21. August 1998
Book
Paperback/Softback
563 pages
978-0-13-687484-3 (ISBN)
Description
For undergraduate or graduate courses in which greater knowledge of SPSS as a tool for data analysis is desired. Also for courses in Data Analysis.
This text introduces the concepts of data analysis from collecting and coding data to interpreting the results of statistical analyses. The emphasis is on understanding fundamental concepts such as data distributions and different kinds of relationships. Simulations and analyses of real data are used to illustrate statistical concepts and models. Chapter summaries and exercises reinforce learning. In addition to teaching statistics, this guide includes instructions for operating the full or student version of SPSS 8.0 for Windows. Extensive problem sets using the companion data disk make this both a useful textbook and reference tool.
This text introduces the concepts of data analysis from collecting and coding data to interpreting the results of statistical analyses. The emphasis is on understanding fundamental concepts such as data distributions and different kinds of relationships. Simulations and analyses of real data are used to illustrate statistical concepts and models. Chapter summaries and exercises reinforce learning. In addition to teaching statistics, this guide includes instructions for operating the full or student version of SPSS 8.0 for Windows. Extensive problem sets using the companion data disk make this both a useful textbook and reference tool.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 190 mm
Width: 230 mm
Thickness: 20 mm
Weight
998 gr
ISBN-13
978-0-13-687484-3 (9780136874843)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. GETTING STARTED WITH SPSS.
1. Introduction.
2. An Introductory Tour: SPSS for Windows.
2. DESCRIBING DATA.
3. Counting Responses.
4. Computing Descriptive Statistics.
5. Comparing Groups.
6. Looking at Distributions.
7. Counting Responses for Combinations of Variables.
8. Plotting Data.
3. TESTING HYPOTHESES.
9. Evaluating Results from Samples.
10. The Normal Distribution.
11. Testing a Hypothesis about a Single Mean.
12. Testing a Hypothesis about Two Related Means.
13. Testing a Hypothesis about Two Independent Means.
14. One-Way Analysis of Variance.
15. Two-Way Analysis of Variance.
16. Comparing Observed and Expected Counts.
17. Nonparametric Tests.
4. EXAMINING RELATIONSHIPS.
18. Measuring Association.
19. Linear Regression and Correlation.
20. Testing Regression Hypotheses.
21. Analyzing Residuals.
22. Building Multiple Regression Models.
23. Multiple Regression Diagnostics.
APPENDICES.
A. Obtaining Charts in SPSS.
B. Transforming and Selecting Data.
C. The T Distribution.
D. Areas under the Normal Curve.
E. Descriptions of Data Files.
Bibliography.
Index.
1. Introduction.
2. An Introductory Tour: SPSS for Windows.
2. DESCRIBING DATA.
3. Counting Responses.
4. Computing Descriptive Statistics.
5. Comparing Groups.
6. Looking at Distributions.
7. Counting Responses for Combinations of Variables.
8. Plotting Data.
3. TESTING HYPOTHESES.
9. Evaluating Results from Samples.
10. The Normal Distribution.
11. Testing a Hypothesis about a Single Mean.
12. Testing a Hypothesis about Two Related Means.
13. Testing a Hypothesis about Two Independent Means.
14. One-Way Analysis of Variance.
15. Two-Way Analysis of Variance.
16. Comparing Observed and Expected Counts.
17. Nonparametric Tests.
4. EXAMINING RELATIONSHIPS.
18. Measuring Association.
19. Linear Regression and Correlation.
20. Testing Regression Hypotheses.
21. Analyzing Residuals.
22. Building Multiple Regression Models.
23. Multiple Regression Diagnostics.
APPENDICES.
A. Obtaining Charts in SPSS.
B. Transforming and Selecting Data.
C. The T Distribution.
D. Areas under the Normal Curve.
E. Descriptions of Data Files.
Bibliography.
Index.