Data Analysis
eBook - ePub

Data Analysis

A Statistical Primer for Psychology Students

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Analysis

A Statistical Primer for Psychology Students

About this book

This book is intended for psychology majors and graduate students who are conducting experiments for the first time and are faced with the task of making sense out of their data. This much needed "how-to-do-it" text illustrates the application of statistical methods to the data from small samples. It also serves as a handbook, with twenty-two tables presented at the end of the text that will allow the student to carry out virtually every computation necessary in analyzing his data. Almost all of the examples and illustrations are drawn from actual experiments so that the student can see how professional scientists examine their data. The book also shows students the kinds of data that are encountered in psychological research, the kinds of questions investigators seek to answer, and how these questions are approached.

The author asserts that statistics is not an abstract discipline but a tool in research. However, the book also imparts a philosophy of data analysis and its meaning, a concern for questions of the function of data analysis and the interpretations that legitimately can be drawn from data. In brief, Data Analysis asks: What kinds of data are met in psychological research? What can we do with these data? What can we conclude as a result of this doing?

The book will be invaluable for students who, even though they may have taken a previous statistics course, are still unsure of what statistical techniques should be used in interpreting their data.

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Yes, you can access Data Analysis by Edward L. Wike,Edward L Wike in PDF and/or ePUB format, as well as other popular books in Psychology & History & Theory in Psychology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. 1 Chapter One Opening Shots
  7. 2 Chapter Two The Search for Indications
  8. 3 Chapter Three Steps to Inference: I. Numbers
  9. 4 Chapter Four Steps to Inference: II. Ranks and Signs
  10. 5 Chapter Five Steps to Inference: III. Classes
  11. 6 Chapter Six Steps to Inference: IV. Relationships
  12. 7 Chapter Seven Closing Shots
  13. Answers to the Even-Numbered
  14. References
  15. Appendix
  16. Index