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