What we know, are still getting wrong, and have yet to learn about the relationships among the SAT, intelligence and achievement
MC Frey - Journal of Intelligence, 2019 - mdpi.com
Fifteen years ago, Frey and Detterman established that the SAT (and later, with Koenig, the
ACT) was substantially correlated with measures of general cognitive ability and could be …
ACT) was substantially correlated with measures of general cognitive ability and could be …
Finding the missing Einsteins: Expanding the breadth of cognitive and noncognitive measures used in academic services
Education researchers, policymakers, and practitioners are concerned with identifying and
developing talent for students with fewer opportunities, especially students from historically …
developing talent for students with fewer opportunities, especially students from historically …
On the assessment of predictive bias in selection systems with multiple predictors.
JA Dahlke, PR Sackett - Journal of Applied Psychology, 2022 - psycnet.apa.org
There is a long history of examining assessments used in college admissions or personnel
selection for predictive bias, also called differential prediction, to determine whether a …
selection for predictive bias, also called differential prediction, to determine whether a …
College athletes' views on academics: A qualitative assessment of perceptions of academic success
AM Brouwer, J Johanson… - Journal of Athlete …, 2022 - scholarworks.bgsu.edu
The primary purpose of the current study was to give “voice” to college athletes regarding
their views on academics. Given their perspectives, means of promoting their academic …
their views on academics. Given their perspectives, means of promoting their academic …
Preparing for the SAT: A review
JI Appelrouth, KM Zabrucky - College and University, 2017 - search.proquest.com
SAT and ACT scores have a significant impact on the college admissions process
(Patterson, Mattern and Swerdzewski 2012), with 88 percent of four-year colleges and …
(Patterson, Mattern and Swerdzewski 2012), with 88 percent of four-year colleges and …
Effects of range restriction and criterion contamination on differential validity of the SAT by race/ethnicity and sex.
We illustrate the effects of range restriction and a form of criterion contamination (individual
differences in course-taking patterns) on the validity of SAT scores for predicting college …
differences in course-taking patterns) on the validity of SAT scores for predicting college …
Grit as a predictor of academic success for first-time undergraduate students
SM Broghammer - 2017 - digscholarship.unco.edu
A majority of institutions of higher education in the US rely primarily on traditional academic
factors of high-school grade point average (HSGPA) and standardized test scores to admit …
factors of high-school grade point average (HSGPA) and standardized test scores to admit …
Changing abilities vs. changing tasks: Examining validity degradation with test scores and college performance criteria both assessed longitudinally.
We explore potential explanations for validity degradation using a unique predictive
validation data set containing up to four consecutive years of high school students' cognitive …
validation data set containing up to four consecutive years of high school students' cognitive …
Differential prediction in the use of the SAT and high school grades in predicting college performance: Joint effects of race and language
OR Shewach, W Shen, PR Sackett… - … : Issues and Practice, 2017 - Wiley Online Library
The literature on differential prediction of college performance of racial/ethnic minority
students for standardized tests and high school grades indicates the use of these predictors …
students for standardized tests and high school grades indicates the use of these predictors …
An application of Bayesian inference to examine student retention and attrition in the STEM classroom
R Bertolini, SJ Finch, RH Nehm - Frontiers in Education, 2023 - frontiersin.org
Introduction As artificial intelligence (AI) technology becomes more widespread in the
classroom environment, educators have relied on data-driven machine learning (ML) …
classroom environment, educators have relied on data-driven machine learning (ML) …