This infographic was created in Summer 2024 for LTEC 6200: Message Design in Learning Technologies. It was developed using Canva as a new design tool, applying course concepts to transform theoretical content into an accessible and visually engaging format.
This Introduction to Statistics resource provides step-by-step support in English and Spanish to help students access course technology more easily. Designed using Mayer’s multimedia learning principles, it reduces unnecessary cognitive load and keeps students focused on key tasks. It also aligns with California Assembly Bill 1096 (AB 1096), which allows community colleges to offer courses in Spanish for the same credit. The guides are available in both English and Spanish.
I created an interactive web-based sample size calculator that helps users evaluate whether their data appear suitable for exploratory factor analysis or confirmatory factor analysis based on commonly cited rule-of-thumb guidelines. By entering the number of analytic items and usable responses, users receive immediate feedback on response-to-item ratios and whether their sample appears more appropriate for EFA, CFA, or both.
I created an interactive web-based EFA interpretation tool that allows users to enter the KMO statistic and Bartlett’s test p-value. Based on established interpretive guidance from Bartlett (1954), Kaiser (1974), and Kaiser and Rice (1974), the tool classifies KMO results across levels of sampling adequacy and determines whether the correlation matrix is sufficiently factorable to support extraction.
I created an interactive web-based CFA model fit interpretation tool that allows users to enter common fit indices such as CFI, TLI, RMSEA, and SRMR. Based on established cutoff values from Brown (2015) and Hu and Bentler (1999), the tool instantly classifies results as acceptable or below acceptable fit and provides a quick overall interpretation.