An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. He collected data on several issues related to these workshops and, after conducting statistical tests, obtained statisically significant finidings. He needs to find a way to evaluate effect size so that he can make recommendations to the company. One of the psychologist's findings is that 6 months after the workshop, a sample of 81 job seekers who received training on setting career goals worked more than 30 hours per week an average of 8.7 months in the last year, with a standard deviation of 4.1. The typical job seeker works 7.4 months. The psychologist finds that the estimated Cohen's d is , the t statistic is 2.83 and r2 is .Using Cohen's d and Cohen's guidelines for interpreting the effect size with the estimated Cohen's d, there is a treatment effect (large, very small, or small to medium). Using r2 and the extension of Cohen's guidelines for interpreting the effect size using r2, there is a treatment effect (very large, medium, or small).Another one of the psychologist's findings is that a sample of 81 job seekers who received training on identifying marketable skills scored an average of 8.1 as measured on a 9-point job search motivation scale, with a standard deviation of .8. The typical job seeker scores 7.4 points. He finds that the estimated Cohen's d is , the t statistic is 7.78, and r2 is . Using Cohen's d and Cohen's guidelines for interpreting the effect size with the estimated Cohen's d, there is a treatment effect (small, medium, or large). Using r2 and the extension of Cohen's guidelines for interpreting the effect size with r2, there is a treatment effect (small, medium, or large).