Social and Behavioral Sciences Commons^™

Teaching Statistics To Msw Students: Comparing Credit And Non-Credit Options, Ashley Davis, Rebecca G. Mirick

Rebecca Mirick

Replicate This! Creating Individual-Level Data From Summary Statistics Using R, Brendan Morse

Brendan J. Morse

Incorporating realistic data and research examples into quantitative (e.g., statistics and research methods) courses has been widely recommended for enhancing student engagement and comprehension. One way to achieve these ends is to use a data generator to emulate the data in published research articles. MorseGen is a free data generator that creates realistic, individual-level data based on user-specified summary statistics (e.g., N, mean, standard deviation, and r). These values can be used in course exercises that allow students to replicate the published results for any between-subjects design or correlation study. Using realistic data generated by MorseGen addresses multiple learning goals …

Effects Of Stretch-Based Progressive Relaxation Training On The Secretion Of Salivary Immunoglobulin A In Orofacial Pain Patients, Jeffrey Sherman, Charles Carlson, James Mccubbin, John Wilson

James A. McCubbin

There is a growing body of evidence that psychologic stressors can affect physical health and proneness to disease through depletion of the body's immune system. Relatively little research, however, has investigated the potential immunoenhancing effect of stress-relieving strategies such as progressive muscle relaxation. This study explored the relationship between immune functioning and relaxation training with persons experiencing persistent facial pain. In a single experimental session, 21 subjects either received relaxation training or rested for an equivalent time period. Salivary immunoglobulin A, mood, pain, and tension levels were measured before and after relaxation and rest periods. Results indicated that a greater …

Beyond Multiple Regression: Using Commonality Analysis To Better Understand R2 Results, Russell Warne

Russell T Warne

Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated independent variables. Commonality analysis—heretofore rarely used in gifted education research—is a statistical method that partitions the explained variance of a dependent variable into nonoverlapping parts according to the independent variable(s) that are related to each portion. This Methodological Brief includes an example of commonality analysis and equations for researchers who wish to conduct their …