To process methodologies and identify trends, you must systematically extract, categorize, and analyze the research designs, data collection tools, and analytical frameworks used across a specific body of literature over time.
Tracking how research methods evolve in your field—often called a methodological review—can help you justify your own research design or discover new, innovative approaches. Here is a practical, step-by-step approach to processing methodologies to spot emerging trends.
1. Define Your Methodological Parameters
Before diving into the papers, decide exactly what methodological aspects you want to track. Are you looking at broad research designs (such as qualitative vs. quantitative)? Or are you tracking specific data collection tools, sample sizes, or statistical software? Establishing clear criteria ensures your literature search and subsequent analysis remain focused.
2. Extract Data Systematically
Create a literature review matrix using a spreadsheet to log the methodological details of each paper. Include columns for publication year, research design, sampling method, data collection instruments, and analysis techniques. Manually pulling this data from dozens of PDFs can be tedious, but you can speed up the process using WisPaper's Scholar QA to ask specific questions about a paper's methodology and instantly get answers traced back to the exact paragraph.
3. Code and Categorize the Methods
Once your data is extracted, start grouping similar methodologies into standardized categories. For example, if some papers use "semi-structured interviews" and others use "focus groups," you might code both under a broader "qualitative verbal data" category. Consistent coding allows you to quantify qualitative descriptions, making it much easier to spot overarching patterns.
4. Analyze for Temporal and Contextual Trends
With your methodologies categorized, you can now analyze the data to find trends. Look for shifts across different dimensions:
- Chronological trends: Create a timeline or bar chart to see if certain methods are increasing or decreasing in popularity over the last decade.
- Geographic or demographic trends: Note if specific methodologies are tied to particular regions, institutions, or target populations.
- Disciplinary shifts: Observe if methods from other fields (like machine learning or neuroimaging) are beginning to cross over into your discipline.
5. Synthesize Your Findings
Finally, interpret what these trends mean for your field. Are researchers adopting new technologies that allow for larger sample sizes? Is there a growing preference for mixed-methods research to provide deeper context? Synthesizing this information not only highlights the current state of the field but also helps you identify methodological gaps that your own research could successfully address.
