YouTube Channel Playlists
FaceBook Help Group
Here, you can learn about our goal of making statistical analysis approachable
by creating a plethora of learning materials and interactive environment for learning/improving your skills.
I designed a statistics and research methods graduate certificate for our university. I currently coordinate the program, working with students to ensure they've completed the requirements in a way that matches their long- term goals. Certificate requirement are one graduate statistics course, one research methods course, and two other electives in statistics or research based courses. You can learn more about the certificate on our website.
In-Person/Online Help Desk:
The Psychology Help Desk was designed as small group tutoring/help opportunity for our statistics and research methods courses (approximately 1,500 students annually). The Help Desk holds regular open hours to accommodate students who need assistance with program or math related questions. The online Help Desk was created to reach our busy, non- traditional, and online students. I supervise the graduate assistant and practicum students who hold open hours. I train these students, as well as create materials for the online portion of the Help Desk. The graduate assistant answers a special email box for the Help Desk and provides assistance through a special Blackboard portal. The Blackboard site is used to link students to appropriate materials, contact information for the Help Desk, and email out information as necessary.
After testing the online features of Blackboard (Collaborate), we discovered that students were not likely to use them to connect to the online help features. Therefore, I set up a Facebook page for our Psychology Help Desk (started Fall 2015). We answer questions online for students and have already seen more interaction than previous semesters.
My YouTube channel contains many hours of tutorials on how to complete statistical procedures in SPSS, Excel, R, MOTE, and G*Power. This information is used as teaching material in my courses and is open access for students/researchers to use as needed. I respond to online questions about these materials and take requests for video material.
MOTE: Measure of the Effect was developed to calculate effect sizes and their confidence intervals. First, a range of effect sizes will be included, such as Cohen's d, omega, eta, r/R, phi, f, and odds-ratios. In cases where formulas were not ubiquitously agreed upon, both versions of calculations are provided. For example, Cohen's d for dependent t-tests is traditionally calculated by divided the mean difference between time measurements by the standard deviation of the difference scores. However, as Cumming (2012) outlines, effect sizes can be artificially inflated with small difference scores, and therefore recommends dividing the mean differences by the average standard deviation of the two time measurements. Formulae are provided in the user's guide and directly on the program, so users will know and can cite how they calculated their effect sizes. This information will also allow the users to understand their effect size in terms of its dimension, index, and value, which follows well with recent work (Kelley & Preacher, 2012). MOTE can be downloaded from github into R! The JAVA program will be phased out as we develop an R-integrated website with even more options!
The Statistics Tools website is currently under development to tie all these resources together in one convenient location. Materials from my courses (basic/advanced/graduate statistics and structural equation modeling) are provided with multiple formats (SPSS, Excel, R) for use by students in my courses and the interested graduate student or researcher. This information is formatted so that an individual may download the entire course for a template when assigned as a course prep. Youtube videos are linked with the appropriate materials on these pages.