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IBM SPSS for Introductory Statistics: Use and Interpretation, Sixth Edition 6th edition [Paperback / softback]

3.42/5 (37 ratings by Goodreads)
(Colorado State University, USA), (University of Colorado at Denver, USA), (Colorado State University, USA), (Colorado State University, USA)
  • Format: Paperback / softback, 252 pages, height x width: 280x210 mm, weight: 600 g
  • Pub. Date: 15-Jul-2019
  • Publisher: Routledge
  • ISBN-10: 1138578215
  • ISBN-13: 9781138578210
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  • Price: 60,84 €
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IBM SPSS for Introductory Statistics: Use and Interpretation, Sixth Edition 6th editionLarger Image
  • Format: Paperback / softback, 252 pages, height x width: 280x210 mm, weight: 600 g
  • Pub. Date: 15-Jul-2019
  • Publisher: Routledge
  • ISBN-10: 1138578215
  • ISBN-13: 9781138578210
Other books in subject:
Permanent link: https://www.kriso.ee/db/9781138578210.html
Keywords:
IBM SPSS for Introductory Statistics is designed to help students learn how to analyze and interpret research. In easy-to-understand language, the authors show readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. There is such a wide variety of options and statistics in SPSS, that knowing which ones to use and how to interpret the outputs can be difficult. This book assists students with these challenges. Comprehensive and user-friendly, the book prepares readers for each step in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about results. Dialog windows and SPSS syntax, along with the output, are provided. Several realistic data sets, available online, are used to solve the chapter problems. This new edition includes updated screenshots and instructions for IBM SPSS 25, as well as updated pedagogy, such as callout boxes for each chapter indicating crucial elements of APA style and referencing outputs.IBM SPSS for Introductory Statistics is an invaluable supplemental (or lab text) book for students. In addition, this book and its companion, IBM SPSS for Intermediate Statistics, are useful as guides/reminders to faculty and professionals regarding the specific steps to take to use SPSS and/or how to use and interpret parts of SPSS with which they are unfamiliar.

Reviews

"Written clearly and packed with illustrative examples, this book provides readers with a comprehensive yet easy-to-follow introduction to SPSS. It covers many of the descriptive and inferential analyses students will likely encounter in an entry-level course. Graduate and undergraduate students alike will appreciate the practical advice that it offers throughout. It provides clear guidance for developing research questions, selecting the appropriate test, and interpreting the results. This book is a must-have guide for any person who desires to learn the basics of SPSS software." - Janelle L. Gagnon, Mount Holyoke College, USA

"I have been using the earlier versions of this book for many years. The students loved it. Using this book they found it stress-free to understand basic statistics. The book is easy to read even for non-native English speakers. The real research examples really help students to understand the most important statistical concepts. This revised edition includes updated screenshots and instructions for the most recent SPSS version. This is the best introductory SPSS book I have ever used or read." - Krisztián Józsa, Professor of Education, University of Szeged, Hungary

Preface ix
1 Variables, Research Problems, and Questions
1(14)
Research Problems
1(1)
Variables
1(4)
Research Hypotheses and Questions
5(2)
A Sample Research Problem: The Modified High School and Beyond (HSB) Study
7(7)
Interpretation Questions
14(1)
2 Data Coding, Entry, and Transformation
15(32)
Plan the Study, Pilot Test, and Collect Data
15(2)
Code Data for Data Entry
17(2)
Problem 2.1 Check the Completed Questionnaires
19(3)
Problem 2.2 Define and Label the Variables
22(5)
Problem 2.3 Display Your Dictionary or Codebook
27(1)
Problem 2.4 Enter Data
28(1)
Alternative Problem 2.4 Downloading and Using Data Collected Online
29(2)
Problem 2.5 Count Math Courses Taken
31(2)
Problem 2.6 Recode and Relabel Mother's and Father's Education
33(4)
Problem 2.7 Reverse Low Pleasure Items for Pleasure Scale Score
37(2)
Problem 2.8 Compute Pleasure Scale with the Mean Function
39(1)
Problem 2.9 Check for Errors and Normality for the New Variables
40(2)
Describing the Sample Demographics and Key Variables
42(2)
Using Figures to Help Describe the Data
44(1)
Saving the Updated HSB Data File
45(1)
Interpretation Questions
46(1)
Extra SPSS Problems
46(1)
3 Measurement and Descriptive Statistics
47(17)
Frequency Distributions
47(1)
Levels of Measurement
48(6)
Descriptive Statistics and Plots
54(6)
The Normal Curve
60(3)
Interpretation Questions
63(1)
Extra SPSS Problems
63(1)
4 Understanding Your Data and Checking Assumptions
64(22)
Exploratory Data Analysis (EDA)
64(2)
Problem 4.1 Descriptive Statistics for the Ordinal and Scale Variables
66(5)
Problem 4.2 Boxplots for One Variable and for Multiple Variables
71(4)
Problem 4.3 Boxplots and Stem-and-Leaf Plots Split by a Dichotomous Variable
75(4)
Problem 4.4 Descriptives for Dichotomous Variables
79(2)
Problem 4.5 Frequency Tables for Each Type of Variable
81(3)
Interpretation Questions
84(1)
Extra SPSS Problems
85(1)
5 Selecting and Interpreting Inferential Statistics
86(20)
General Design Classifications for Difference Questions
86(2)
Selection of Inferential Statistics
88(5)
The General Linear Model
93(1)
Interpreting the Results of a Statistical Test
94(6)
An Example of How to Select and Interpret Inferential Statistics
100(2)
Writing About Your Outputs
102(2)
Conclusion
104(1)
Interpretation Questions
104(2)
6 Methods to Provide Evidence for Reliability and Validity
106(29)
Measurement Reliability
107(1)
Measurement Validity
108(1)
Problem 6.1 Cohen's Kappa to Assess Reliability with Nominal Data
109(4)
Problem 6.2 Correlation and Paired t to Assess Interrater Reliability
113(3)
Problem 6.3 Exploratory Factor Analysis to Assess Evidence for Validity
116(8)
Problem 6.4 Cronbach's Alpha to Assess Internal Consistency Reliability
124(8)
The Use of Factor Analysis and Alpha to Make Summated Scales
132(1)
Interpretation Questions
133(1)
Extra SPSS Problems
134(1)
7 Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association
135(16)
Problem 7.1 Chi-Square and Phi (or Cramer's V)
136(6)
Problem 7.2 Risk Ratios and Odds Ratios
142(3)
Problem 7.3 Other Nonparametric Associational Statistics
145(2)
Problem 7.4 Eta
147(2)
Interpretation Questions
149(1)
Extra SPSS Problems
150(1)
8 Correlation and Regression
151(24)
Problem 8.1 Scatterplots to Check the Assumption of Linearity
153(5)
Problem 8.2 Bivariate Pearson and Spearman Correlations
158(3)
Problem 8.3 Correlation Matrix for Several Variables
161(4)
Problem 8.4 Bivariate or Simple Linear Regression
165(3)
Problem 8.5 Multiple Regression
168(6)
Interpretation Questions
174(1)
Extra SPSS Problems
174(1)
9 Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar Nonparametric Tests
175(39)
Problem 9.1 One-Sample t Test
177(1)
Problem 9.2 Independent Samples t Test
178(5)
Problem 9.3 The Nonparametric Mann-Whitney U Test
183(3)
Problem 9.4 Paired Samples t Test
186(2)
Problem 9.5 Nonparametric Wilcoxon Test for Two Related Samples
188(3)
Problem 9.6 One-Way (or Single Factor) ANOVA
191(4)
Problem 9.7 Post Hoc Multiple Comparison Tests
195(7)
Problem 9.8 Nonparametric Kruskal-Wallis Test
202(3)
Problem 9.9 Two-Way (or Factorial) ANOVA
205(7)
Interpretation Questions
212(1)
Extra SPSS Problems
213(1)
Appendices
A Getting Started and Other Useful SPSS Procedures Don Quick
214(12)
B Writing Research Problems and Questions
226(5)
C Answers to Odd Numbered Interpretation Questions Jessica Gerton
231(9)
D Glossary Jessica Bochert
240(8)
For Further Reading 248(2)
Index 250
George A. Morgan is Emeritus Professor of Education and Human Development at Colorado State University. He received his Ph.D. in child development and psychology from Cornell University. In addition to writing textbooks, he has advised many Ph.D. students in education and related fields. He has conducted a program of research on childrens motivation to master challenging tasks.

Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University, where she teaches research methods and statistics classes as well as classes in her research area. She is also Professor of Community & Behavioral Health at Colorado School of Public Health. She received her Ph.D. in developmental psychology from the University of Denver. Her research takes a functional approach to studying emotional and motivational processes and their influence on development; family and cultural influences on emotion regulation; and the development of social emotions such as guilt and shame.

Nancy L. Leech is Professor of Research and Evaluation Methods at the University of Colorado, Denver. She teaches graduate level courses in research, statistics, and measurement. She received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002. Her area of research is promoting new developments and better understandings in applied, quantitative, qualitative, and mixed methods research.

Gene W. Gloeckner is Professor, former IRB Chair, former School of Education Director, and one voyage Semester at Sea Dean. He received his Ph.D. and B.S. from The Ohio State University and M.S. from Colorado State University. Much of his writing and teaching has focused on issues in quantitative and mixed research methods. He has served as the academic advisor for over 60 doctoral graduates.