Scoring Above the International Average: A Logistic Regression Model of the TIMSS Advanced Mathematics Exam
Year: 2000
Type: article
Abstract: This study examined 2349 advanced mathematics students from the Third International Mathematics and Science Study. Students were separated into two groups: those that scored above the international average of 501 and those who scored below. Logistic regression was then utilized to model the student data. Results indicate that students whose parents had less than a high school education were one-fourth as likely to score above the international average and students who were enrolled in advanced mathematics and physics courses were three times as likely to score above the international. A probability model is also discussed.
Source: General Linear Model Journal
Author: James B. Schreiber
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W2113594282