Challenges in analysisĭata analysis occurs on a rolling basis and involves making constant comparisons between different excerpts of data. This means that you are likely to conduct many rounds of data collection before your theory is complete. With grounded theory, you continuously collect and analyze data until you reach theoretical saturation, which is the point at which new data does not contribute new insight to your evolving theory. There is no way to know ahead of time how much data you will need to collect, so you need to be flexible with your time. Because the recruiting is not predefined, it can be challenging to continuously find the right participants for your study. The recruiting criteria also evolves and changes based on what you learn. Grounded theory relies on an iterative recruiting process called theoretical sampling where you continuously recruit and conduct new rounds of interviews with new participants and previous participants while you analyze data. This provides a great buffer against confirming preconceived beliefs about your topic. Buffers against confirmation biasīecause data collection and analysis are tightly interwoven, you are truly following what is emerging from the data itself. This helps ensure that the data you collect is sufficient enough to explain the findings that arise from analysis. As you collect data, you analyze it, and as you learn from analysis, you continue to collect more data. Data collection and analysis are streamlinedĭata collection and analysis are tightly interwoven. While grounded theory is a very open ended methodology, the analysis strategies enable you to stay structured and analytical in your discovery process. The process of grounded theory describes specific strategies for analysis that can be incredibly helpful. Instead, you allow the data you collect to guide your analysis and theory creation, leading to novel discoveries.
You don’t go in with any preconceived hypothesis about the outcome, and are not concerned with validation or description. Grounded theory is a strong, inductive research method for discovering new theories. This is in contrast to other research approaches that rely more heavily on external research frameworks or theories that are further removed from the data. Findings are tightly connected to the dataīecause grounded theory primarily relies on collected data to determine the final outcome, the findings are tightly connected to that data. This is in contrast to other research approaches that occur in less natural settings like research labs or focus group tables. The theories you develop using grounded theory are derived directly from real world participants in real world settings using methods like in depth interviews and observation, so your findings will more accurately represent the real world.
Findings accurately represent real world settings
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