NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1090061
Record Type: Journal
Publication Date: 2016-Feb
Pages: 11
Abstractor: As Provided
ISSN: EISSN-1531-7714
Data Visualization of Item-Total Correlation by Median Smoothing
Yu, Chong Ho; Douglas, Samantha; Lee, Anna; An, Min
Practical Assessment, Research & Evaluation, v21 n1 Feb 2016
This paper aims to illustrate how data visualization could be utilized to identify errors prior to modeling, using an example with multi-dimensional item response theory (MIRT). MIRT combines item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to accomplish two tasks by employing one procedure, users should be cautious of problematic items that affect both factor analysis and IRT. When sample sizes are extremely large, reliability analyses can misidentify even random number meaningful patterns. Data visualization, such as median smoothing, can be used to identify problematic items in preliminary data cleaning.
Center for Educational Assessment. 813 North Pleasant Street, Amherst, MA 01002. e-mail:; Tel: 413-577-2180; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A