Testing Theory-based Quantitative Predictions (TTQP) represents an alternative to traditional Null Hypothesis Significance Testing (NHST) procedures and is more appropriate for theory testing. The theory generates explicit effect size predictions and these effect size estimates, with related confidence intervals, are used to test the predictions.…

This commentary on EC 608 301 points out that devotion to the natural science canon of experimental proof in the area of generality testing requires proof procedures that are difficult, expensive, or impossible, but adopting a different canon of proof will not produce the desired certainty about the accuracy of the answer. (JDD)

Based on the assumption that inferential statistics can make the operant conditioner more sensitive to possible significant relationships, regressions models were developed to test the statistical significance between slopes and Y intercepts of the experimental and control group subjects. These results were then compared to the traditional operant…