OIPR

OIPR

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Appendix

Assessment of Non-Passing and Withdrawal Rates

APPENDIX A

Reference Group List

BAYLOR UNIVERSITY

CARNEGIE MELLON UNIVERSITY

CATHOLIC UNIVERSITY OF AMERICA

DEPAUL UNIVERSITY

GEORGE MASON UNIVERSITY

GEORGIA STATE UNIVERSITY

PACE UNIVERSITY-NEW YORK

PEPPERDINE UNIVERSITY

PORTLAND STATE UNIVERSITY

SAN DIEGO STATE UNIVERSITY

SOUTHERN METHODIST UNIVERSITY

ST JOHN'S UNIVERSITY-NEW YORK

UNIVERSITY OF ALABAMA AT BIRMINGHAM

UNIVERSITY OF COLORADO AT DENVER

UNIVERSITY OF DETROIT MERCY

UNIVERSITY OF HAWAII AT MANOA

UNIVERSITY OF MISSOURI-KANSAS CITY

UNIVERSITY OF MISSOURI-ST LOUIS

UNIVERSITY OF SAN FRANCISCO

UNIVERSITY OF WISCONSIN-MILWAUKEE

WICHITA STATE UNIVERSITY

APPENDIX B

Interpreting a Boxplot

A box plot is the distribution of scores for a given measure in terms of percentiles, using the median of a group as the midpoint (50^thpercentile). The box surrounding the median shows the 25^th (lower) and 75^th (higher) percentiles (the difference between the values that correspond with the 25^th and 75^th percentile is known as the interquartile range). The lines extending from the boundaries of the box (whiskers) denote the range of values less than 1.5 Interquartile Ranges (IQR)* from the boundary of the box. Any datapoint between 1.5 and 3 IQRs from the box boundary is considered an outlier; scores beyond 3 IQRs from the boundary are extreme outliers. Data for several factors or groups can be compared with box plots. In the example to the right, Group B has a much wider range of scores while Group A has a smaller distribution with two outliers. This diagram also shows that the median for Group A is higher than that of Group B. Although the boxplots presented in this report are oriented horizontally rather than vertically, the underlying principles remain the same.

* The Interquartile Range (IQR) is calculated by taking the difference between the scores at the 25^th and 75^th percentiles.