A Research Primer for the Social and Behavioral Sciences
eBook - PDF

A Research Primer for the Social and Behavioral Sciences

  1. 450 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

A Research Primer for the Social and Behavioral Sciences

About this book

A Research Primer for the Social and Behavioral Sciences provides an introductory but comprehensive overview of the research process that primarily concerns human subjects. This book discusses the methods of acquiring knowledge, importance of a well-chosen problem, review of the literature, and relationship between theory-building and hypothesis-testing. The common sources of invalidity in practice, non-experimental research types, Stevens' classification of scales, and estimation based on probabilistic sampling are also elaborated. This text likewise covers the role of computer in research, techniques for analysis of data, univariate and bivariate statistics, and assumptions underlying analysis of variance. Other topics include the canonical correlation analysis, non-parametric analysis of variance, deterministic problem analysis techniques, and common errors in presentation of findings. This publication is intended for novice investigators in the broad category of social and behavioral sciences.

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Yes, you can access A Research Primer for the Social and Behavioral Sciences by Miriam Schapiro Grosof,Hyman Sardy in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. A Research Primer for the Social and Behavioral Sciences
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Acknowledgments
  7. Introduction
  8. Chapter 1. Preliminaries
  9. Chapter 2. Choosing the Research Problem and Stating the Problem-Question
  10. Chapter 3. The Background of the Problem: Review of the Litera
  11. Chapter 4. Definitions and Major Research Hypotheses
  12. Chapter 5. Evaluating Method and Design
  13. Chapter 6. Research Types
  14. Chapter 7. Procedure: Measurement, Instrumentation, and Data Collection
  15. Chapter 8. The Study Population: Sampling
  16. Chapter 9. Role of Computer in Research
  17. Chapter 10. Techniques for Analysis of Data
  18. Chapter 11. Probabilistic Methods: Univariate and Bivariate Statistics
  19. Chapter 12. Probabilistic Methods: Multivariate Statistics I Basic Strategies
  20. Chapter 13. Probabilistic Methods: Multivariate Statistics II Clustering and Classification Techniques
  21. Chapter 14. Probabilistic Methods: Multivariate Statistics III Techniques Free of Linear Assumptions
  22. Chapter 15. Deterministic Problem Analysis Techniques
  23. Chapter 16. Endgame
  24. References
  25. Index