Prior Year’s Predictors of Eighth-Grade Algebra Achievement

Autor:	Jian-Hua Liang, Paul E. Heckman, Jamal Abedi
Rok vydání:	2018
Předmět:	Predictive validity education 05 social sciences Prior learning 050301 education 050109 social psychology Cognition Regression analysis Predictor variables Education Algebra 0501 psychology and cognitive sciences Statistical analysis Algebra over a field Psychology 0503 education
Zdroj:	Journal of Advanced Academics. 29:249-269
ISSN:	2162-9536 1932-202X
Popis:	This study examines the power of cognitive and noncognitive variables to predict students’ performance in algebra. We investigated students’ prior year’s assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models. These analyses reveal that the seventh-grade mathematics test scores account for 61% of the variance in eighth graders’ algebra test scores. Analyzing subscores of the seventh-grade mathematics test, the assessment content focus of rational numbers is a major predictor, contributing 48% of the variance in eighth graders’ algebra test scores. On the other hand, students’ demographic variables show little predictive power for eighth-grade algebra scores. This study provides empirical evidence for understanding the factors that impact a student’s success in learning algebra.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8b22e7bc84c6df2082a16cec3ec1f787 https://doi.org/10.1177/1932202x18770172 Zobrazit plný text záznamu Plný text ve formátu PDF