Data and clustering code for Decision Milestones and Decision-Based Learning in a Canine Lab Exercise: How Students Decide
收藏资源简介:
These files are related to a paper called "Decision Milestones and Decision-Based Learning in a Canine Lab Exercise: How Students Decide" (under revise and resubmit) which compares choices by students at intermediate decision milestones and the final decision in a Decision-Based Leanring (DBL) style lab based on dog agility runs. Combinations of these choices form concordance groups. Each row represents one deidentified student (IRB permission received). The file CategoryAssignmentsDataForCaninePaper.xlsx contains the decision milestones, final answers, and assigned categories. Cluster analysis was performed using the nine categories as a check on the concordance categories and to refine understanding of them. It was used for the cluster analysis and for descriptive analysis. The assignment of categories was based on the assignment of a much larger number of codes, developed in a typical qualitative manner by the author. The file "RawCodedDataForCaninePaper.xlsx" also contains these codes, with an explanatory first tab. Clustering was done in JMP. The file "To replicate the KMeans Clustering.docx" contains a note to this effect and the JMP script. The script alone is contained in "Clustering.jsl".



