Understanding Statistics for the Social Sciences with IBM SPSS

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Modern statistical software provides the ability to compute statistics in a timely, orderly fashion. This introductory statistics textbook presents clear explanations of basic statistical concepts and introduces students to the IBM SPSS program to demonstrate how to conduct statistical analyses via the popular point-and-click and the “syntax file” methods. The focal point is to show students how easy it is to analyse data using SPSS once they have learned the basics. Provides clear explanation of basic statistical concepts that provides the foundation for the beginner students’ statistical journey. Introduces the SPSS software program. Gives clear explanation of the purpose of specific statistical procedures (e.g., frequency distributions, measures of central tendencies, measures of variability, etc.). Avoids the conventional cookbook approach that contributes very little to students’ understanding of the rationale of how the correct results were obtained. The advantage of learning the IBM SPSS software package at the introductory class level is that most social sciences students will employ this program in their later years of study. This is because SPSS is one of the most popular of the many statistical packages currently available. Learning how to use this program at the very start not only familiarizes students with the utility of this program but also provides them with the experience to employ the program to conduct more complex analyses in their later years.

Table of contents

Cover
Half Title
Title Page
Copyright Page
Preface
Author
1. Introduction to the Scientific Methodology of Research
2. Introduction to SPSS
Section I: Descriptive Statistics
3. Basic Mathematical Concepts and Measurement
3.3.4 Rounding
4. Frequency Distributions
5. Graphing
6. Measures of Central Tendency
7. Measures of Variability/Dispersion
8. The Normal Distribution and Standard Scores
9. Correlation
10. Linear Regression
Section II: Inferential Statistics
11. Statistical Inference and Probability
12. Introduction to Hypothesis Testing
13. Hypothesis Testing: t test for Independent and Correlated Groups
14. Hypothesis Testing: One-Way Analysis of Variance
15. Hypothesis Testing: Chi-Square Test
Appendix
Bibliography
Index


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