ERIC Number: ED453274
Record Type: RIE
Publication Date: 2001-Apr-14
Cluster Analysis: A Method To Develop School Level Normative Score Profiles To Support School Improvement?
This study investigated cluster analysis as a method to identify common school score profiles. Scores from more than 100,000 students were used to create school level subscores in reading and mathematics. Four scores for constructing and extending meaning in fiction and nonfiction reading passages were analyzed in reading. Seven subscores were analyzed in mathematics. For reading, the resulting profiles grouped about 70% of the students into a consistently flat (high, average, or low) profile. For mathematics, the resulting profiles grouped only about 7% of the students into a consistently flat profile. Of the other profiles, six had one low or high score, seven had two low subscores, and one had three low scores. While the reading profiles later had clear instructional implications, the profiles from mathematics were less straightforward. More research should be done to validate the identified profiles and their usefulness in instruction. (Author/SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Meeting of the American Educational Research Association (Seattle, WA, April 10-14, 2001).