Nguồn ngoài
Social Science Research - Principles, Methods, and Practices
This book is designed to introduce doctoral and graduate students to the process of scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any course on research methods.
- Tác giả
- Anol Bhattacherjee
- Nhà xuất bản
- University of South Florida
- Nguồn
- LibreTexts
- Giấy phép
- CC BY-SA
- Ngôn ngữ
- EN
- Danh mục
- Khoa học cơ bản
Mục lục· 89 mục
- 01: Science and Scientific Research
- 1.01: Science
- 1.02: Scientific Knowledge
- 1.03: Scientific Research
- 1.04: Scientific Method
- 1.05: Types of Scientific Research
- 1.06: History of Scientific Thought
- 02: Thinking Like a Researcher
- 2.01: Unit of Analysis
- 2.02: Concepts Constructs and Variables
- 2.03: Propositions and Hypotheses
- 2.04: Theories and Models
- 03: The Research Process
- 3.01: Paradigms of Social Research
- 3.02: Overview of the Research Process
- 3.03: Common Mistakes in Research
- 04: Theories in Scientific Research
- 4.01: Theories
- 4.02: Building Blocks of a Theory
- 4.03: Attributes of a Good Theory
- 4.04: Approaches to Theorizing
- 4.05: Examples of Social Science Theories
- 05: Research Design
- 5.01: Key Attributes of a Research Design
- 5.02: Improving Internal and External Validity
- 5.03: Popular Research Designs
- 5.04: Selecting Research Designs
- 06: Measurement of Constructs
- 6.01: Conceptualization
- 6.02: Operationalization
- 6.03: Levels of Measurement
- 6.04: Scaling
- 6.05: Indexes
- 6.06: Typologies
- 6.07: Summary
- 07: Scale Reliability and Validity
- 7.01: Reliability
- 7.02: Validity
- 7.03: Theory of Measurement
- 7.04: An Integrated Approach to Measurement Validation
- 08: Sampling
- 8.01: The Sampling Process
- 8.02: Probability Sampling
- 8.03: Non-Probability Sampling
- 8.04: Statistics of Sampling
- 09: Survey Research
- 9.01: Prelude to Survey Research
- 9.02: Questionnaire Surveys
- 9.03: Interview Survey
- 9.04: Biases in Survey Research
- 10: Experimental Research
- 10.01: Basic Concepts
- 10.02: Two-Group Experimental Designs
- 10.03: Factorial Designs
- 10.04: Hybrid Experimental Designs
- 10.05: Quasi-Experimental Designs
- 10.06: Perils of Experimental Research
- 11: Case Research
- 11.01: Key Decisions in Case Research
- 11.02: Conducting Case Research
- 11.03: Interpretive Case Research Exemplar
- 11.04: Positivist Case Research Exemplar
- 11.05: Comparisons with Traditional Research
- 12: Interpretive Research
- 12.01: Distinctions from Positivist Research
- 12.02: Benefits and Challenges of Interpretive Research
- 12.03: Characteristics of Interpretive Research
- 12.04: Interpretive Data Collection
- 12.05: Interpretive Research Designs
- 12.06: Rigor in Interpretive Research
- 13: Qualitative Analysis
- 13.01: Grounded Theory
- 13.02: Content Analysis
- 13.03: Hermeneutic Analysis
- 14: Quantitative Analysis- Descriptive Statistics
- 14.01: Data Preparation
- 14.02: Univariate Analysis
- 14.03: Bivariate Analysis
- 15: Quantitative Analysis- Inferential Statistics
- 15.01: Basic Concepts
- 15.02: General Linear Model
- 15.03: Two-Group Comparison
- 15.04: Factorial Designs
- 15.05: Other Quantitative Analysis
- 16: Research Ethics
- 16.01: Ethical Principles in Scientific Research
- 16.02: Human Research Ethics Committees (HRECs)
- 16.03: Professional Code of Ethics
- 16.04: An Ethical Controversy