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Anglim, Jeromy; Bozic, Stefan; Little, Jonathon; Lievens, Filip – Advances in Health Sciences Education, 2018
The current study examined the degree to which applicants applying for medical internships distort their responses to personality tests and assessed whether this response distortion led to reduced predictive validity. The applicant sample (n = 530) completed the NEO Personality Inventory whilst applying for one of 60 positions as first-year…
Descriptors: High Stakes Tests, Personality Measures, Graduate Medical Education, Predictive Validity
Lee, Jihyun; Zhang, Yang; Stankov, Lazar – Educational Assessment, 2019
This study aims to identify which socio-economic status (SES) variables have the best predictive validity for academic achievement, based on the international data sets of the Programme for International Student Assessment (PISA) in 2012, 2009, 2006, and 2003. From among 10 SES measures, two composite variables - Index of economic, social and…
Descriptors: Predictive Validity, Socioeconomic Status, Academic Achievement, Predictor Variables
Lee, Y.-H.; Heeter, C. – Journal of Computer Assisted Learning, 2017
Educational video games can impose high cognitive demands on its users. Two studies were conducted to examine the cognitive process involved in playing an educational digital game. Study 1 examined the effects of users' working memory capacity and gaming expertise on attention and comprehension of the educational messages. The results showed that…
Descriptors: Cognitive Ability, Expertise, Attention, Educational Games
Terrell, Misty – National Technical Assistance Center on Transition, 2017
Early warning systems (EWS), in the context of secondary transition, are tools that analyze individual student-level data and estimate each student's risk of dropping out of school or completing school on time. Such tools generally consider three primary types of data--commonly referred to as the A, B, Cs: attendance/absence data,…
Descriptors: Identification, Intervention, Secondary School Students, At Risk Students
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Klieger, David M.; Bridgeman, Brent; Tannenbaum, Richard J.; Cline, Frederick A.; Olivera-Aguilar, Margarita – ETS Research Report Series, 2018
Educational Testing Service (ETS), working with 21 U.S. law schools, evaluated the predictive validity of the GRE® General Test using a sample of 1,587 current and graduated law students. Results indicated that the GRE is a strong, generalizably valid predictor of first-year law school grades and that it provides useful information even when…
Descriptors: College Entrance Examinations, Graduate Study, Test Validity, Scores
Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses
Lamm, Kevan W.; Sheikh, Emana; Carter, Hannah S.; Lamm, Alexa J. – Journal of Leadership Education, 2017
Finding strategies to increase the motivation of students, their connection with the material, and retention of the content, has been very important within leadership education. Previous research studies have shown that personality traits can predict desired outcomes, including goal orientation or motivational disposition. However, there have not…
Descriptors: Undergraduate Students, Goal Orientation, Predictive Validity, Prediction
The Roles of Suprasegmental Features in Predicting English Oral Proficiency with an Automated System
Kang, Okim; Johnson, David – Language Assessment Quarterly, 2018
Suprasegmental features have received growing attention in the field of oral assessment. In this article we describe a set of computer algorithms that automatically scores the oral proficiency of non-native speakers using unconstrained English speech. The algorithms employ machine learning and 11 suprasegmental measures divided into four groups…
Descriptors: Suprasegmentals, Predictive Validity, Predictor Variables, Oral English
Žujovic, Alisa Murphy – ProQuest LLC, 2018
The role of the community college is constantly evolving. At its inception in the early 1900's, the community college's broad focus was to provide quality, affordable education to the members of the community the college serves. Today, that focus remains the same, but has also morphed into one that meets the specific needs of its students. One of…
Descriptors: Predictive Validity, Postsecondary Education, Community Colleges, Two Year College Students
Rickes, Scott – ProQuest LLC, 2018
The ability to predict accurately college freshman-year grade point average (FYGPA) in a way that minimizes the adverse impact associated with the predictors traditionally used as acceptance criteria has been an important and controversial topic for several decades. FYGPA is an important measure of educational performance because it is related to…
Descriptors: Racial Differences, Predictor Variables, Ethnicity, College Freshmen
Gill, Tim – Cambridge University Press & Assessment, 2022
The Extended Project Qualification (EPQ) is available for students in Key Stage 5 (KS5), to be taken alongside other qualifications, such as A levels. It differs from most other academic qualifications at KS5 because it is not examined, but instead involves students undertaking an in-depth project in an area of their choosing. Students are…
Descriptors: Foreign Countries, Secondary School Students, Exit Examinations, Independent Study
Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
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.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning