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.…

Many colleges and universities are trying to understand the factors that contribute to Latina/o college student success. San Diego State University (SDSU) has been recognized by The Education Trust Report (2012) for having the highest increase in graduation rates, but most importantly, comparably to White students, increasing the graduation rates…

The California School Climate and Safety Survey-Short Form (CSCSS-SF) was developed as a streamlined version (54 items) of the original CSCSS (102 items) for school safety teams to gather information regarding student perceptions of campus climate, safety, and experience of victimization. Using a longitudinal dataset, this study implemented…

Students' oral reading fluency growth from first through fourth grade was used to predict their achievement on the Stanford Achievement Test (9th ed.; SAT-9 Reading) using a latent growth model. Two conditional variables related to student status were used to determine the effects on reading performance--English language learners (ELLs) with low…

High-school grades are often viewed as an unreliable criterion for college admissions, owing to differences in grading standards across high schools, while standardized tests are seen as methodologically rigorous, providing a more uniform and valid yardstick for assessing student ability and achievement. The present study challenges that…