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Research Methodology 1 (MESIEI470625)
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Cognitive biases like anchoring can be mitigated by:
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When using AI for systematic review screening, what "concept drift" problem may occur?
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When using LLMs for problématique identification, what "hermeneutic gaps" emerges from the training data's inherent historicity?
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Why is operationalization crucial in transforming hypotheses into testable formats?
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Defining a research method requires:
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How does methodological triangulation address research limitations?
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Cognitive biases primarily affect research by:
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When using AI for state-of-the-art reviews, a key risk is:
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How does "prevalence-incidence bias" (Neyman bias) distort observational studies?
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Which step is essential in the scientific method?
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