How does negative case testing work?
What will be an ideal response?
The researcher intentionally seeks negative or unique cases until the data are saturated and built into an emerging pattern. Only at this point does the researcher look for confirmation of the developing theory or specific hypothesis. This involves several steps.
1. Make a rough hypothesis based on an observation from the data.
2. Conduct a thorough search of all cases to located negative cases (i.e., cases that do not fit the hypothesized relationship).
3. If a negative case is located, either discard or reformulate the hypothesis to account for the negative case or exclude the negative case.
4. Examine all relevant cases from the sample before determining whether "practical certainty" in this recommended analysis style is attained.
A researcher can also use the null hypothesis trick of assuming that a relationship does not exist, and then seeking clear evidence based on examples from the data that there is one.
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