Question

how would you check the robustness and validity of results in logistic regression

Answer 1

Answers:

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Robustness Testing in Four Steps:

1. Define the subjectively optimal specification for the data-generating process at hand. Call this model the baseline model.

2. Identify assumptions made in the specification of the baseline model which are potentially arbitrary and that could be replaced with alternative plausible assumptions.

3. Develop models that change one of the baseline model’s assumptions at a time. These alternatives are called robustness test models.

4. Compare the estimated effects of each robustness test model to the baseline model and compute the estimated degree of robustness.

The validity of results in logistic regression:

The criterion-related validity of a test is measured by the validity coefficient. It is reported as a number between 0 and 1.00 that indicates the magnitude of the relationship, "r," between the test and a measure of job performance (criterion).

Validity refers to how accurately a method measures what it is intended to measure. If research has high validity, that means it produces results that correspond to real properties, characteristics, and variations in the physical or social world.

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