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 have been working on building interactive applications through Shiny to visualize the data for specific projects and to increase statistical skills by creating easy ways to calculate numbers for non-programming researchers. I try to post about the applications as we put them online, but you can find them on our shiny-server GitHub repository or through the shiny tag on the blog.
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I designed a statistics and research methods graduate certificate Missouri State. I coordinated the program, working with students to ensure they've completed the requirements in a way that matches their long- term goals. Certificate requirements 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 their website.
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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 supervised the graduate assistant and practicum students who hold open hours. I trained these students, as well as created 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 was used to link students to appropriate materials, contact information for the Help Desk, and email out information as necessary.
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.
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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. Formulas 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 installed directly from CRAN! Also check out our Shiny Application.
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Learn more about our ideas
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.
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