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Every communication research question demands a specific approach to gathering evidence—and the AP exam expects you to know which technique fits which research goal. You're being tested on your ability to match methods to research questions, understand the tradeoffs between quantitative precision and qualitative depth, and recognize when researchers need to establish causation versus when they're exploring meaning and context.
These techniques aren't just a checklist to memorize. Each one reflects fundamental decisions about how we can know things about human communication: Do we need numbers or narratives? Control or naturalism? Breadth or depth? Understanding these underlying tensions will help you tackle any methodology question the exam throws at you. Don't just memorize what each technique does—know why a researcher would choose it over alternatives.
These techniques prioritize numerical data, statistical analysis, and generalizability. The core logic is that communication phenomena can be quantified, measured, and compared across large populations.
Compare: Surveys vs. Experiments—both generate quantitative data, but surveys describe what exists in a population while experiments test whether manipulating one variable causes changes in another. If an FRQ asks about establishing causation, experiments are your answer; for describing attitudes or behaviors at scale, choose surveys.
These techniques prioritize depth over breadth, seeking to understand the meanings people attach to their communication experiences. The core logic is that human communication is too complex and context-dependent to be fully captured by numbers alone.
Compare: In-depth interviews vs. Focus groups—both gather qualitative data through conversation, but interviews capture individual depth while focus groups reveal how meanings emerge through social interaction. Choose interviews for sensitive topics; choose focus groups when group dynamics matter to your research question.
These techniques study communication as it naturally occurs, minimizing researcher interference. The core logic is that authentic communication behaviors can only be understood in their natural settings.
Compare: Participant observation vs. Ethnography—both involve researcher immersion, but ethnography requires sustained engagement over extended time periods and focuses specifically on cultural understanding. Participant observation can be shorter-term and focused on specific behaviors rather than entire cultural systems.
These techniques draw on various data sources to build comprehensive understanding. The core logic is that complex communication phenomena require multiple angles of investigation.
Compare: Case studies vs. Archival research—both can examine single phenomena in depth, but case studies typically focus on contemporary situations using multiple live data sources, while archival research analyzes existing historical documents. Case studies prioritize current complexity; archival research prioritizes historical context.
| Concept | Best Examples |
|---|---|
| Establishing causation | Experimental methods |
| Large-scale generalizability | Surveys and questionnaires |
| Deep individual perspectives | In-depth interviews |
| Group meaning-making | Focus groups |
| Natural setting observation | Participant observation, Ethnography |
| Cultural understanding | Ethnography |
| Analyzing existing texts/media | Content analysis, Archival research |
| Multiple-source triangulation | Case studies |
| Relationship mapping | Social network analysis |
| Historical/temporal analysis | Archival research, Content analysis |
A researcher wants to prove that exposure to political ads causes changes in voter attitudes. Which technique is essential, and why can't surveys alone answer this question?
Compare and contrast ethnography and participant observation. What distinguishes ethnography's approach, and when would a researcher choose one over the other?
Which two techniques are best suited for studying how communication practices have changed over the past 50 years? What makes them appropriate for temporal analysis?
A researcher studying online community culture wants to understand both what members talk about and how they're connected to each other. Which combination of techniques would address both questions?
If an FRQ asks you to design a study exploring how employees experience organizational communication during a merger, which qualitative techniques would be most appropriate, and what would each contribute to understanding the phenomenon?