- 289 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
We need only scan a newspaper or magazine, turn on a news broadcast, or open a sociology text or journal to see that we live in an age that is heavily dependent on statistical information. The extent this dependency is such that it is rather difficult to be an educated person without having at least a passing acquaintance with basic statistics. More to the point, it is virtually impossible to be a capable social scientist without having a definite, if elementary, understanding of some basic statistics and statistical methods of analysis. But a casual acquaintance with a few simple statistics will not serve the social scientist who attempts to read competently the literature of the field. And if one wishes to do quantitative social research—and most research published today is quantitative—a more thorough knowledge of statistics is imperative. The aspiring sociologist need only examine the books and articles that are being published today for evidence of this claim. A very large portion of the articles published in the major sociology journals use some form of statistical analysis. Some of these articles and other works published sociologists are incomprehensible without a statistics background; others will simply be read less intelligently or with a lessened sense of appreciation or criticism.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Essential Statistics For Social Research by Michael Malec in PDF and/or ePUB format, as well as other popular books in Social Sciences & Sociology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Half Title Page
- Title Page
- Copyright Page
- Dedication
- Contents
- List of Tables
- List of Figures
- Preface to the First Edition
- Preface to the Second Edition
- 1 Introduction
- 2 Organization and Presentation of Data
- 3 Descriptive Measures: Centrality
- 4 Measures of Dispersion
- 5 Bases of Statistical Inference, I: Probability and the bogie of Hypothesis Testing
- 6 Bases of Statistical Inference, II: Sampling and Estimation
- 7 Testing for the Difference Between Means
- 8 Analysis of Variance
- 9 Measuring the Association Between Two Nominal Variables
- 10 Measuring the Association Between Two Ordinal Variables
- 11 Measuring the Association Between Two Interval Variables
- 12 Multivariate Analysis: Three or More Variables
- Appendix
- References
- Index
- About the Book and Author