Exploring college students mental representations of inferential statistics


Authors: 
Nancy C. Lavigne, Sara J. Salkind, Jie Yan
Volume: 
27(1)
Pages: 
online
Year: 
2008
Publisher: 
Journal of Mathematical Behavior
URL: 
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6W5B-4S044JP-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=d2bf3c674eda4b6d3b86cad8b8
Abstract: 

We report a case study that explored how three college students mentally represented the knowledge they held of inferential statistics, how this knowledge was connected, and how it was applied in two problem solving situations. A concept map task and two problem categorization tasks were used along with interviews to gather the data. We found that the students' representations were based on incomplete statistical understanding. Although they grasped various concepts and inferential tests, the students rarely linked key concepts together or to tests nor did they accurately apply that knowledge to categorize word problems. We suggest that one reason the students had difficulty applying their knowledge is that it was not sufficiently integrated. In addition, we found that varying the instruction for the categorization task elicited different mental representations. One instruction was particularly effective in revealing students' partial understandings. This finding suggests that modifying the task format as we have done could be a useful diagnostic tool.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

register