Research seeks to boost STEM proficiency in Latino youth
Project examining whether testing gap originates from language
As demand increases for employees with expertise in science, technology, engineering and mathematics, representation of Latinos in STEM fields continues to lag.
As of 2011, Latinos represented only 7% of the American STEM workforce, despite accounting for more than 16% of the U.S. population.
Natalie Koziol, research assistant professor, along with Marc Goodrich, assistant professor of special education and communication disorders, are exploring whether the STEM training gap is due in part to challenges measuring the academic achievement of language-minority students.
They're taking a fresh look at an old challenge: how to test for differential-item functioning, or the extent to which items differentially discriminate among groups, in order to better control for such bias. Traditional methods for evaluating differential-item functioning do not control for potentially important pre-test differences between groups, which may confound results.
Researchers are examining a restricted-use dataset from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99. Their focus is kindergartners’ mathematics achievement, where previous research found Latino students have significantly lower performance than their white peers in both the fourth and eighth grades. The gap is even wider for students identified as English-language learners.
Koziol and Goodrich — research affiliates at the Nebraska Center for Research on Children, Youth, Families and Schools, where the grant is housed — are working to operationalize a new approach for investigating differential-item functioning. Once it is ready, they will apply the approach to evaluate differential-item functioning of English vs. Spanish-translated kindergarten math items within a subsample of Spanish-speaking students.
The goal is to learn whether Spanish-translated math items function differently for Spanish-speaking kindergartners after accounting for potential selection bias.
“If we have two students with the same math ability, with one student taking a test in English and the other taking the Spanish version, they should have the same probability of answering correctly,” Koziol said. “If they don’t, that’s indicative of differential-item functioning — the items don’t function the same in both languages.”
Once differently functioning items are identified, adjustments can be made. For example, English-to-Spanish translations of math word-problems or instructions can be modified, or avoided altogether.
“You don’t want students’ math proficiency to be confounded by a language barrier,” Koziol said. “We need to be able to measure the achievement and skills of all students, not just those who speak English proficiently.”
The project is funded by a grant from the American Educational Research Association.