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Core methods for empirical social science research including surveys and expe...
Passed 23 of 25 test cases with the skill, and 23 of 25 without it.
0 fixed23 passed either way2 still failing0 broke
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A comprehensive skill for designing and conducting empirical social science research. Covers survey methodology, experimental design, qualitative methods, and mixed-methods approaches used across sociology, political science, and psychology.
Research Question Type -> Recommended Design
"What is the prevalence of X?" -> Cross-sectional survey
"Does X cause Y?" -> Randomized experiment or quasi-experiment
"How does X develop over time?" -> Longitudinal panel study
"What does X mean to participants?" -> Qualitative (interviews, ethnography)
"How much of Y is explained by X?" -> Correlational / regression study
"Does the effect hold across contexts?" -> Comparative / cross-national study
def operationalize_construct(construct: str, dimensions: list[dict]) -> dict:
"""
Create an operationalization plan for a theoretical construct.
Args:
construct: Name of the abstract concept
dimensions: List of dicts with 'name', 'indicators', 'measurement_level'
"""
plan = {
'construct': construct,
'dimensions': [],
'total_items': 0
}
for dim in dimensions:
items = []
for indicator in dim['indicators']:
items.append({
'indicator': indicator,
test cases passed, vs 23 / 25 without
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