Evaluating the Experiment from the Inside: Internal Validity If your experimental results were barely significant even though you tested 400 subjects, you should be concerned about
A)committing a Type 2 error.
B)confounding by extraneous variables.
C)insufficient statistical power.
D)statistical conclusion validity.

Question

Quizplus · Accepted Answer

Statistical conclusion validity is concerned with the proper statistical treatment of data and the correct interpretation of statistical outcomes. If experimental results are barely significant despite a large sample size (400 subjects), it suggests that the statistical analysis might be on the edge of detecting an effect, raising concerns about whether the statistical conclusions drawn are valid. This scenario does not directly imply issues with Type 2 errors (which would be more of a concern with non-significant results), confounding by extraneous variables (which affects internal validity but is not directly related to the statistical significance of the results), or insufficient statistical power (since a large sample size typically increases power).

Evaluating the Experiment from the Inside: Internal Validity If Your