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How does the case study method differ from survey research in terms of approach, data collection, and analysis? Discuss their strengths and weaknesses, and explain when a case study would be the preferred method over a survey.

Introduction

Research methods are the backbone of communication studies. Two commonly used methods are the case study and survey research. Both methods are useful for exploring topics, but they differ in their approach, data collection techniques, and analysis styles. Understanding these differences helps researchers choose the most suitable method based on their objectives.

Case Study Method

A case study is an in-depth examination of a single subject, group, organization, event, or community. It provides detailed information and helps understand the complexities of real-life situations. Researchers spend a lot of time collecting data from different sources like interviews, documents, observations, and media content.

Strengths:

Weaknesses:

Survey Research

Survey research involves collecting data from a large group of people using tools like questionnaires or online forms. It is usually quantitative and focuses on measuring opinions, behaviors, or characteristics.

Strengths:

Weaknesses:

Key Differences

Aspect Case Study Survey Research
Approach Qualitative Quantitative
Focus In-depth study of one or few units Broad study of large groups
Data Collection Interviews, observations, documents Questionnaires, polls
Data Analysis Thematic, narrative Statistical, numerical

When to Use a Case Study Over a Survey

A case study is preferred when:

Example: If a researcher wants to study how a rural newspaper helps in community development, a case study of one village newspaper would be better than a survey.

Conclusion

Both case studies and survey research methods have their own importance in communication research. Case studies provide depth and context, while surveys offer breadth and generalization. The choice depends on the research question, objectives, and available resources. By understanding their strengths and weaknesses, researchers can make better decisions and improve the quality of their studies.

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