This mixed-method research examines student achievement, student interaction and social elements to determine which elements support online course completion for students in a state virtual school. The quantitative goals seek to find a possible degree of convergence with the course completion average grade. Qualitative data from 10 high school students, their teachers, and quantitative data from their courses were gathered. Quantitative data from the learning management system (LMS) was reproduced, scrubbed of unwanted data, such as dropped students. Mixed method constant comparison was performed to determine a descriptive analysis of three variables: student achievement, student interaction, and social elements. Using the data gathered from the qualitative interviews, a yes or no was assigned to the students for behavioral, cognitive, and social skills. Using descriptive statistics, the skills were compared to the students' course grades. The results revealed a strong pattern match of data for Research Question 1. This data was indicative of the need for behavioral, cognitive, and social skills to complete an online course. Quantitative and teacher data were grouped by themes: asynchronous, administrative, and assessments; synchronous added for teacher data. A constant comparison of data correspondence was performed between the student course average grade, the access data, LMS theme data, and the course average final grade. The investigation of Research Question 2 indicated that the LMS's reporting module can determine interactions to support online course completion by providing average grade analysis along with access analysis and tool usage analysis. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]