Darhub.dat

Darhub is a SAS data step program that calculates Darlington’s (1990) *F* statistic for testing the significance of difference between the obtained squared multiple correlation coefficient, *R*2, and the expected value, or expected long-run mean, of *R*2 under the null hypothesis that ρ = 0. Darhub also computes Huberty’s (1994) adjusted *R*2 index and Huberty’s effect size measure for multiple regression studies. Both of these indices take into account the expected value of *R*2.

Size: 1.75kb.

Source Reference:

Hittner, J.B. (2016). On correctly adjusting the squared multiple correlation coefficient in linear regression: Effect size estimation and significance testing with application to substance abuse research. *Journal of Drug Abuse*, *2(2)*, 1-4.

The performance of Huberty’s effect size, R, was examined in the following article:

Hittner, J.B. (2009). Effects of population distribution, sample size and correlation structure on Huberty’s effect size R.

Posted: 3.May.2016