|
Activity Number:
|
546
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistical Graphics
|
| Abstract - #309798 |
|
Title:
|
Longitudinal Multivariate Graphics in the Analysis of Time Management Data
|
|
Author(s):
|
Jessica M. Scott*+ and Steven A. Wygant and Bruce Brown
|
|
Companies:
|
Brigham Young University and Brigham Young University and Brigham Young University
|
|
Address:
|
726 E 1720 S, Orem, UT, 84097,
|
|
Keywords:
|
Time Series Scatterplot ; Multivariate Graphs ; Time Management
|
|
Abstract:
|
A dichotomization method is used to identify and contrast the time management practices of highly effective students, and those on academic probation. Male and female student comparisons are made, and also comparisons across majors. Hans Rosling's time series bivariate scatterplots are shown to be particularly effective in tracking and comparing patterns of time usage over the course of an academic year. The main limitation in Rosling's method is the restriction to two variables as they change over time. A method is presented for making time series scatterplots multivariate and displaying changes over time on three or more variables simultaneously. The method is illustrated in the comparisons of time usage patterns across the two academic effectiveness groups (effective and ineffective), for male and female students in each of the college majors.
|
