Theory Testing Using Quantitative Predictions of Effect Size

Traditional Null Hypothesis Testing procedures are poorly adapted to theory testing. The methodology can mislead researchers in several ways, including: (a) a lack of power can result in an erroneous rejection of the theory; (b) the focus on directionality (ordinal tests) rather than more precise quantitative predictions limits the information gained; and (c) the misuse of probability values to indicate effect size. An alternative approach is proposed which involves employing the theory to generate explicit effect size predictions that are compared to the effect size estimates and related confidence intervals to test the theoretical predictions. This procedure is illustrated employing the Transtheoretical Model. Data from a sample ( N = 3,967) of smokers from a large New England HMO system were used to test the model. There were a total of 15 predictions evaluated, each involving the relation between Stage of Change and one of the other 15 Transtheoretical Model variables. For each variable, omega-squared and the related confidence interval were calculated and compared to the predicted effect sizes. Eleven of the 15 predictions were confirmed, providing support for the theoretical model. Quantitative predictions represent a much more direct, informative, and strong test of a theory than the traditional test of significance.     

Gender and History of Suicidality: Are These Factors Related to U.S. College Students’ Current Suicidal Thoughts,Feelings, and Actions?

Gender and history of suicidality (HS vs. NoHS) were related to current symptoms of depression, reasons for living, and reports of self-destructive and life-threatening behavior in a college student sample. Overall, college men reported engaging in more life-threatening and potentially suicidal behavior than college women on the Life Attitudes Schedule (LAS). No gender effects were obtained on the symptoms of depression and reasons for living measures. Results suggest that the LAS may be a particularly effective way to identify college students at risk for self-destructive and suicidal behavior. As expected, HS individuals were more depressed, had fewer reasons for living, and reported engaging in more current suicidal and life-threatening behavior than NoHS participants. However, gender and history of suicidality were found to interact. NoHS women reported avoiding a variety of injury-producing and health-diminishing behaviors that were common for all other groups of college students. Meanwhile, HS women endorsed fewer current reasons for living than did NoHS women, NoHS men, and NoHS men. These findings were interpreted both with regard to cultural and gender-specific expectations for the expression of self-destructive, suicidal, and life-threatening behavior. Implications for the prevention of college women's and men's suicidal behavior were also noted.     

What Does Self-Care Look like for Online Graduate Mental Health Counseling Students?

ABSTRACT

The purpose of this article is to highlight what self-care looks like for online graduate mental health counseling students and implications for counselor educators. Results come from a program evaluation examining self-care practices for online mental health graduate students. Furthermore, these results will guide the examination of best practices to meet student reported needs while integrating self-care into the program’s mission, program objectives, and curriculum.