Book Description:
This book is designed to provide you with a set of tools that can and should be readily applied to solve certain kinds of problems. Although there are several ways in which the subject of social statistics might be introduced, we have selected the approach that is the most practical. Obviously, this is not because it is the only way or even because it is somehow the “best” way. Rather, it is because this approach will help you to see clearly and immediately why and how you can benefit from learning the concepts, principles, and techniques that are presented.
Even while you are taking your first course in statistics, you will be able to use what you are learning here in other classes in which you are enrolled this semester. These classes might be in sociology, in another one of the social science disciplines, or in other fields. Knowledge of basic statistics will serve you well in more advanced courses in social science and in graduate studies if you choose to go on after your bachelor’s degree. Your research reports and term papers will reflect a more mature grasp of the strengths and the limitations of the scientific method, and of what one can (or cannot) “prove” with factual observations. On a more general level, your reasoning powers will become more orderly and more disciplined than they might otherwise have been. Ultimately, the lessons learned from a practical introduction to statistics such as this will serve you well in getting a job in any of several professions and in doing good, effective work after you are hired.
The “applying” part of the title of this book is reflected in several small ways and in two major themes that run throughout the chapters that follow. One of these focuses on how we use social statistics with the personal computer (PC). The second focuses on how applied sociologists and other practicing social scientists apply statistics in their assessment research, evaluation studies, community organizing, and various types of consulting for governments, nonprofit organizations, and businesses. The next few pages introduce these two themes and discuss how they are integrated with the basic principles and techniques of social statistics.
This book is designed to provide you with a set of tools that can and should be readily applied to solve certain kinds of problems. Although there are several ways in which the subject of social statistics might be introduced, we have selected the approach that is the most practical. Obviously, this is not because it is the only way or even because it is somehow the “best” way. Rather, it is because this approach will help you to see clearly and immediately why and how you can benefit from learning the concepts, principles, and techniques that are presented.
Even while you are taking your first course in statistics, you will be able to use what you are learning here in other classes in which you are enrolled this semester. These classes might be in sociology, in another one of the social science disciplines, or in other fields. Knowledge of basic statistics will serve you well in more advanced courses in social science and in graduate studies if you choose to go on after your bachelor’s degree. Your research reports and term papers will reflect a more mature grasp of the strengths and the limitations of the scientific method, and of what one can (or cannot) “prove” with factual observations. On a more general level, your reasoning powers will become more orderly and more disciplined than they might otherwise have been. Ultimately, the lessons learned from a practical introduction to statistics such as this will serve you well in getting a job in any of several professions and in doing good, effective work after you are hired.
The “applying” part of the title of this book is reflected in several small ways and in two major themes that run throughout the chapters that follow. One of these focuses on how we use social statistics with the personal computer (PC). The second focuses on how applied sociologists and other practicing social scientists apply statistics in their assessment research, evaluation studies, community organizing, and various types of consulting for governments, nonprofit organizations, and businesses. The next few pages introduce these two themes and discuss how they are integrated with the basic principles and techniques of social statistics.
Table of Contents: | ||
Chapter 1 | Statistics and Sociology: Computation and Application. | |
Chapter 2 | Statistics: What It Is and Why Sociologists Use It. | |
Chapter 3 | Measurement in Sociology: Quantity, Quality, and Social Aggregates. | |
Chapter 4 | Frequency Distributions and Public Sociology. | |
Chapter 5 | Central Tendency in Microsociology. | |
Chapter 6 | Dispersion and the Analysis of Social Deviance. | |
Chapter 7 | Generalizations and Social Justice. | |
Chapter 8 | Induction: Using Sample Means in the Study of Diversity. | |
Chapter 9 | Hypothesis Testing: The Foundation of Sociological Theory. | |
Chapter 10 | Two Sample t-Tests and an Application to the Study of Altruism. | |
Chapter 11 | Comparing Three or More Samples in Small-Group Research. | |
Chapter 12 | Association and Induction in Qualitative Sociology: From Private Problems to Public Issues. | |
Chapter 13 | Correlation Description and Induction in Comparative Sociology. | |
Chapter 14 | Regression Description and Induction in the Sociological Study of Globalization. | |
Chapter 15 | Supplemental Material Online at http://www.rowmanlittlefield.com/RL/Books/WeinsteinStats/. | |
Appendix A: Tables | ||
Appendix B: Subscripts, Summation, and Scientific Notation | ||
Appendix C: Answers to Selected Practice Quizzes | ||
Appendix D: Formulas Used in This Book | ||
Notes | ||
References | ||
Index |
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