Social Science Research Principles Methods and Practices 2nd Edition by Anol Bhattacherjee ISBN 1475146124 9781475146127

Here is a possible Table of Contents for Social Science Research: Principles, Methods, and Practices (2nd Edition):

Chapter 1: Introduction to Social Science Research

• 1.1 What is Social Science Research?
• 1.2 The Role of Research in Social Sciences
• 1.3 Ethics in Social Science Research
• 1.4 Key Concepts in Research: Variables, Concepts, and Theories
• 1.5 Types of Research: Basic, Applied, and Evaluation Research

Chapter 2: Research Design

• 2.1 The Research Process: From Problem to Conclusion
• 2.2 Formulating Research Questions and Hypotheses
• 2.3 Defining Variables and Operationalization
• 2.4 Designing Research for Validity: Internal and External
• 2.5 Types of Research Designs: Experimental, Correlational, and Descriptive

Chapter 3: Literature Review and Theoretical Framework

• 3.1 Importance of Literature Review in Social Science Research
• 3.2 Conducting a Systematic Literature Search
• 3.3 Building a Theoretical Framework
• 3.4 Synthesizing Research Findings
• 3.5 Writing a Literature Review

Chapter 4: Data Collection Methods

• 4.1 Quantitative vs. Qualitative Data Collection
• 4.2 Surveys and Questionnaires
• 4.3 Interviews: Structured, Semi-Structured, and Unstructured
• 4.4 Observational Methods: Participant and Non-Participant
• 4.5 Case Studies
• 4.6 Focus Groups
• 4.7 Secondary Data: Using Existing Data Sets

Chapter 5: Sampling Techniques

• 5.1 The Importance of Sampling in Social Research
• 5.2 Probability Sampling: Simple Random, Stratified, and Cluster Sampling
• 5.3 Non-Probability Sampling: Convenience, Judgment, and Snowball Sampling
• 5.4 Sample Size and Power Analysis
• 5.5 Bias in Sampling and Strategies for Reducing Bias

Chapter 6: Measurement and Scaling

• 6.1 The Concept of Measurement in Social Science Research
• 6.2 Levels of Measurement: Nominal, Ordinal, Interval, and Ratio
• 6.3 Validity and Reliability of Measurements
• 6.4 Constructing Scales: Likert, Semantic Differential, and Guttman Scales
• 6.5 Operationalizing Abstract Concepts

Chapter 7: Data Analysis Techniques

• 7.1 Descriptive Statistics: Mean, Median, Mode, and Standard Deviation
• 7.2 Inferential Statistics: Sampling Distributions, t-tests, and Confidence Intervals
• 7.3 Correlation and Regression Analysis
• 7.4 Qualitative Data Analysis: Thematic Analysis, Grounded Theory
• 7.5 Content Analysis and Discourse Analysis
• 7.6 Software for Data Analysis: SPSS, R, NVivo

Chapter 8: Writing and Presenting Research Findings

• 8.1 Writing Research Papers: Structure and Format
• 8.2 Reporting Results: Tables, Figures, and Interpretation
• 8.3 Writing for Academic Journals and Conferences
• 8.4 Ethical Reporting of Research Findings
• 8.5 Presenting Research Findings: Oral Presentations and Posters

Chapter 9: Ethics in Social Science Research

• 9.1 Ethical Considerations in the Research Process
• 9.2 Informed Consent and Confidentiality
• 9.3 Ethical Issues in Data Collection and Analysis
• 9.4 Research Ethics Committees and Approval Processes
• 9.5 Integrity and Professionalism in Research

Chapter 10: Qualitative Research Methods

• 10.1 Introduction to Qualitative Research
• 10.2 Case Study Method
• 10.3 Ethnographic Research
• 10.4 Grounded Theory Methodology
• 10.5 Phenomenological Research
• 10.6 Data Collection and Analysis in Qualitative Research

Chapter 11: Quantitative Research Methods

• 11.1 Introduction to Quantitative Research
• 11.2 Experimental Research and Control Groups
• 11.3 Survey Research and Questionnaire Design
• 11.4 Statistical Analysis in Quantitative Research
• 11.5 Using Longitudinal and Cross-Sectional Data

Chapter 12: Mixed Methods Research

• 12.1 What is Mixed Methods Research?
• 12.2 Integrating Quantitative and Qualitative Approaches
• 12.3 Designing a Mixed Methods Study
• 12.4 Analyzing Mixed Methods Data
• 12.5 Benefits and Challenges of Mixed Methods

Chapter 13: Evaluation Research

• 13.1 The Role of Evaluation in Social Science Research
• 13.2 Types of Evaluation: Formative, Summative, and Impact
• 13.3 Designing Evaluation Studies
• 13.4 Program Evaluation Methods
• 13.5 Reporting Evaluation Results

Chapter 14: Emerging Trends in Social Science Research

• 14.1 The Impact of Technology on Social Science Research
• 14.2 Big Data and Social Science Research
• 14.3 Social Media and Online Research Methods
• 14.4 Globalization and Cross-Cultural Research
• 14.5 The Future of Social Science Research