Predicting Middle Level State Standardized Test Results Using Family and Community Demographic Data

作者: Christopher H. Tienken , Anthony Colella , Christian Angelillo , Meredith Fox , Kevin R. McCahill

DOI: 10.1080/19404476.2016.1252304

关键词: Political scienceRegression analysisLongitudinal studyStandardized testLanguage artsGoodness of fitSocial psychologyDemographyBachelorFamily incomePoverty

摘要: AbstractThe use of standardized test results to drive school administrator evaluations pervades education policymaking in more than 40 states. However, the state tests are strongly influenced by non-school factors. The models best fit (n = 18) from this correlational, explanatory, longitudinal study predicted accurately percentage middle students scoring proficient or above on New Jersey state-mandated mathematics and language arts for grades 6–8 during years 2010, 2011, 2012 70% 78% schools statewide samples 292 311), using only family community demographic variables U.S. Census. Just three variables, (a) families a with income over $200,000 year, (b) people poverty, (c) bachelor’s degrees, 14/18 models. findings suggest that state...