Open AccessUse of Longitudinal Regression in Quality Control
Author(s) -
Lu Ying,
Yen Wendy M.
Publication year - 2014
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/ets2.12032
Subject(s) - credibility , statistics , regression , regression analysis , scale (ratio) , longitudinal study , quality (philosophy) , longitudinal data , computer science , econometrics , mathematics , data mining , geography , epistemology , political science , philosophy , cartography , law
This article explores the use of longitudinal regression as a tool for identifying scoring inaccuracies. Student progression patterns, as evaluated through longitudinal regressions, typically are more stable from year to year than are scale score distributions and statistics, which require representative samples to conduct credibility checks. Historical data from a large‐scale K‐12 testing program were used to evaluate the usefulness of several proposed longitudinal procedures. Results showed that the use of longitudinal regression in quality control was effective in detecting scoring errors, especially when the scoring errors were non‐negligible.