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E-raamat: SPSS Demystified: A Simple Guide and Reference

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(Fresno State University, USA)
  • Formaat: 282 pages
  • Ilmumisaeg: 10-Mar-2023
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781000844450
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SPSS Demystified: A Simple Guide and ReferenceSuurem pilt
  • Formaat: 282 pages
  • Ilmumisaeg: 10-Mar-2023
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781000844450
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Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward the subject matter. And while IBM SPSS® is one of the more easy-to-use statistical software programs available, for anxious students who realize they not only have to learn statistics but also new software, the task can seem insurmountable. Keenly aware of students’ anxiety with statistics (and the fact that this anxiety can affect performance), Ronald D. Yockey has written SPSS® Demystified: A Simple Guide and Reference, now in its fourth edition. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS®. Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses.

Key features of the text:

• Step-by-step instruction and screenshots

• Designed to be hands-on with the user performing the analyses alongside the text on their computer as they read through each chapter

• Call-out boxes provided, highlighting important information as appropriate

• SPSS® output explained, with written results provided using the popular, widely recognized APA format

• End-of-chapter exercises included, allowing for additional practice

• SPSS® data sets available on the publisher’s website

New to the Fourth Edition:

• Fully updated to SPSS® 28

• Updated screenshots in full color to reflect changes in the SPSS® software system (version 28)

• Exercises updated with up-to-date examples

• Exact p-values provided (consistent with APA recommendations)



Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS. Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses.

Preface xiii
Acknowledgments xvii
PART I INTRODUCTION TO SPSS, DESCRIPTIVE STATISTICS, GRAPHICAL PROCEDURES OF DATA, AND RELIABILITY USING COEFFICIENT ALPHA
1(56)
Chapter 1 Introduction To Spss
2(18)
The Data Editor Window
2(3)
Creating Data Files in SPSS
5(1)
Data Entry and Analysis
6(7)
Viewer (Output) Window
13(1)
Saving Files
14(3)
Printing Files
17(1)
Exercises
18(1)
Notes
19(1)
Chapter 2 Descriptive Statistics: Frequencies, Measures Of Central Tendency, And Measures Of Variability
20(15)
The Data
20(1)
Data Entry and Analysis in SPSS
21(1)
Frequencies
22(2)
Measures of Central Tendency and Variability
24(1)
Analysis of Groups Using the Means Procedure
25(7)
Summary of Steps to Conduct the Frequencies and Means Procedures
32(1)
Exercises
32(2)
Notes
34(1)
Chapter 3 Graphical Procedures
35(11)
Bar Charts
36(1)
Histograms
37(1)
Scatterplots
38(2)
Boxplots
40(4)
Summary of Steps for Producing Bar Charts, Histograms; Scatterplots, and Boxplots in SPSS
44(1)
Exercises
45(1)
Chapter 4 Reliability (As Measured By Coefficient Alpha)
46(11)
Example
47(1)
Objective and Data Requirements of Coefficient Alpha
48(1)
Data Entry and Analysis in SPSS
48(5)
Expression of the Results
53(1)
Summary of Steps for Conducting a Reliability Analysis in SPSS
53(1)
Exercises
54(1)
Notes
55(2)
PART II INFERENTIAL STATISTICS
57(160)
Chapter 5 The One-Sample t Test
61(9)
Example
61(1)
Objective and Data Requirements of the One-Sample t Test
61(1)
Null and Alternative Hypotheses
61(1)
Research Question
62(1)
Data Entry and Analysis in SPSS
62(4)
Effect Sizes
66(1)
Expression of the Results in APA Format
67(1)
Assumptions of the One-Sample t Test
67(1)
Summary of Steps for Conducting a One-Sample t Test in SPSS
67(1)
Exercises
68(1)
Notes
69(1)
Chapter 6 The Independent-Samples t Test
70(10)
Example
70(1)
Objective and Data Requirements of the Independent-Samples t Test
70(1)
Null and Alternative Hypotheses
70(1)
Research Question
71(1)
Data Entry and Analysis in SPSS
71(5)
Effect Sizes
76(1)
Expression of the Results in APA Format
77(1)
Assumptions of the Independent-Samples t Test
77(1)
Summary of Steps for Conducting an Independent-Samples t Test in SPSS
78(1)
Exercises
78(1)
Notes
79(1)
Chapter 7 The Dependent-Samples t Test
80(9)
Example
80(1)
Objective and Data Requirements of the Dependent-Samples t Test
80(1)
Null and Alternative Hypotheses
80(1)
Research Question
81(1)
Data Entry and Analysis in SPSS
81(4)
Effect Sizes
85(1)
Expression of the Results in APA Format
85(1)
Assumptions of the Dependent-Samples t Test
85(1)
Summary of Steps for Conducting a Dependent Samples t Test in SPSS
86(1)
Exercises
86(2)
Note
88(1)
Chapter 8 The One-Way Between Subjects Analysis Of Variance (Anova)
89(13)
Example
89(1)
Objective and Data Requirements of the One-Way between Subjects ANOVA
89(1)
Null and Alternative Hypotheses
89(1)
Research Question
90(1)
Data Entry and Analysis in SPSS
90(8)
Effect Sizes
98(1)
Expression of the Results in APA Format
98(1)
Assumptions of the One-Way between Subjects ANOVA
98(1)
Summary of Steps for Conducting a One-Way between Subjects ANOVA in SPSS
99(1)
Exercises
100(1)
Notes
101(1)
Chapter 9 The Two-Way Between Subjects Analysis Of Variance (Anova)
102(20)
Example
102(1)
Objectives and Data Requirements of the Two-Way between Subjects ANOVA
103(1)
Null and Alternative Hypotheses
103(1)
Research Questions
104(1)
Data Entry and Analysis in SPSS
105(11)
Effect Sizes
116(1)
Expression of the Results in APA Format
117(1)
Assumptions of the Two-Way between Subjects ANOVA
117(1)
Summary of Steps for Conducting a Two-Way between Subjects ANOVA in SPSS
118(1)
Exercises
119(2)
Notes
121(1)
Chapter 10 The One-Way Within Subjects Analysis Of Variance (Anova)
122(17)
Example
122(1)
Objectives and Data Requirements of the One-Way within Subjects ANOVA
122(1)
Null and Alternative Hypotheses
123(1)
Research Question
123(1)
Data Entry and Analysis in SPSS
124(10)
Effect Sizes
134(1)
Expression of the Results in APA Format
134(1)
Assumptions of the One-Way within Subjects ANOVA
135(1)
Summary of Steps for Conducting a One-Way within Subjects ANOVA in SPSS
136(1)
Exercises
136(1)
Notes
137(2)
Chapter 11 The One-Between---One-Within Subjects Analysis Of Variance (Anova)
139(19)
Example
139(1)
Objectives and Data Requirements of the One-between---One-within ANOVA
139(1)
Null and Alternative Hypotheses
140(1)
Research Questions
140(1)
Data Entry and Analysis in SPSS
141(12)
Effect Sizes
153(1)
Expression of the Results in APA Format
154(1)
Assumptions of the One-between---One-within Subjects ANOVA
154(1)
Summary of Steps for Conducting a One-between---One-within ANOVA in SPSS
155(1)
Exercises
156(1)
Notes
157(1)
Chapter 12 The Pearson r Correlation Coefficient
158(8)
Example
158(1)
Objective and Data Requirements of the Pearson r Correlation Coefficient
158(1)
Null and Alternative Hypotheses
158(1)
Research Question
159(1)
Data Entry and Analysis in SPSS
159(3)
Effect Sizes
162(1)
Expression of the Results in APA Format
163(1)
Assumptions of the Pearson Correlation Coefficient
163(1)
Summary of Steps for Conducting a Pearson Correlation Coefficient in SPSS
163(1)
Exercises
164(1)
Note
165(1)
Chapter 13 Simple Linear Regression
166(11)
Example
166(1)
Objective and Data Requirements of Simple Regression
166(1)
Null and Alternative Hypotheses
166(1)
Research Question
167(1)
Data Entry and Analysis in SPSS
167(6)
Effect Sizes
173(1)
Expression of the Results in APA Format
173(1)
Assumptions in Simple Regression
174(1)
Summary of Steps for Conducting a Simple Linear Regression Analysis in SPSS
174(1)
Exercises
175(1)
Notes
176(1)
Chapter 14 Multiple Linear Regression
177(14)
Example
177(1)
Objective and Data Requirements of Multiple Regression
177(1)
Null and Alternative Hypotheses
177(2)
Research Questions
179(1)
Data Entry and Analysis in SPSS
179(7)
Effect Sizes
186(1)
Expression of the Results in APA Format
186(1)
Assumptions in Multiple Regression
187(1)
Summary of Steps for Conducting a Multiple Regression Analysis in SPSS
187(1)
Exercises
188(2)
Notes
190(1)
Chapter 15 The Chi-Square Goodness Of Fit Test
191(12)
Example
191(1)
Objective and Data Requirements of the Chi-Square Goodness of Fit Test
191(1)
Null and Alternative Hypotheses
191(1)
Research Question
192(2)
Data Entry and Analysis in SPSS
194(5)
Expression of the Results in APA Format
199(1)
Assumptions of the Chi-Square Goodness of Fit Test
200(1)
Summary of Steps for Conducting a Chi-Square Goodness of Fit Test in SPSS
200(1)
Exercises
201(1)
Notes
202(1)
Chapter 16 The Chi-Square Test Of Independence
203(14)
Example
203(1)
Objective and Data Requirements of the Chi-Square Test of Independence
204(1)
Null and Alternative Hypotheses
204(1)
Research Question
204(1)
Data Entry and Analysis in SPSS
204(8)
Effect Sizes
212(1)
Expression of the Results in APA Format
213(1)
Assumptions of the Chi-Square Test of Independence
213(1)
Summary of Steps for Conducting a Chi-Square Test of Independence in SPSS
213(1)
Exercises
214(2)
Notes
216(1)
APPENDIX A DATA TRANSFORMATIONS AND OTHER PROCEDURES
217(15)
The Recode Procedure
218(3)
The Compute Procedure
221(3)
The Select Cases Procedure
224(4)
The Split File Procedure
228(2)
Turning Off the Split File Procedure
230(1)
Notes
231(1)
APPENDIX B SOLUTIONS TO CHAPTER EXERCISES
232(23)
References 255(1)
Index 256
Ronald D. Yockey is an award-winning professor of Quantitative Methods at California State University, Fresno (USA) and has been teaching statistics at the undergraduate and graduate levels for more than 20 years. While enjoying both teaching and research, Professor Yockeys greatest professional thrill is in seeing others discover that statistics is a subject that can not only be understandable but can also be fun.
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