Modular design and automated testing with Python

This 4-hour course will be split over 2 days (11/7/23 & 11/9/23) and offered via Zoom. Attendance is required as the course will not be recorded.

Research is relying on increasingly complex code. However, most academics have not received formal training in software development. This course will introduce participants to some of the best practices of professional software development. Participants will learn to structure their Python code into reusable functions and store those functions as separate scripts and/or packages. Participants will learn to write automated tests for their functions, to help confirm that results are as expected and to ensure that future changes to code do not cause unexpected changes to results.

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Part 2 of this course will be offered over two afternoons (11/7/23 and 11/9/23 from 1pm – 5pm US Eastern) via Zoom only. Attendance is required as the course will not be recorded.

This course is the second in a two-part scale development course series on scale development. Part one of the series focused on the general theories and methods used in the scale development process. This second portion focuses on the analytic methods used to statistically test, refine, and validate scale data. These methods include Cronbach’s alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and basic structural equation models testing for predictive validity.

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