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Meihua Liu; Zhangwei Chen – Asia-Pacific Education Researcher, 2024
The present large-scale quantitative study investigated the predictive effects of learning strategies and styles on Chinese undergraduate students' English achievement and their mediating effects on each other's relation to English achievement. A total of 439 students from different universities answered the 30-item Perceptual Learning Style…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Learning Strategies
Katherine E. Castellano; Daniel F. McCaffrey; Joseph A. Martineau – Educational Measurement: Issues and Practice, 2025
Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…
Descriptors: Student Evaluation, Growth Models, Student Educational Objectives, Educational Indicators
Marini, Jessica P.; Westrick, Paul A.; Young, Linda; Shaw, Emily J. – College Board, 2020
Recent national research on the validity of the SAT shows that students with higher SAT scores are more likely to earn higher grades in college, and that SAT scores add about 15% more predictive power above high school grade point average (HSGPA) to estimate students' college performance (Westrick, Marini, Young, Ng, Shmueli, & Shaw, 2019).…
Descriptors: College Entrance Examinations, Validity, Test Validity, Scores
Carey Bernini Dowling; C. Veronica Smith; Yue Yin; Jeffrey M. Williams – Journal of the Scholarship of Teaching and Learning, 2025
People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…
Descriptors: Grade Point Average, Undergraduate Students, Study Habits, Intelligence
Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
Meghan N. Flynn – ProQuest LLC, 2024
Grit, defined as perseverance and passion for long-term goals, has garnered attention in educational research for its potential to predict academic achievement and well-being. Despite this, its psychometric properties and applicability across diverse populations remain underexplored. This study aims to validate the Grit-O scale and explore its…
Descriptors: Undergraduate Students, STEM Education, High Achievement, Success
Misty R. Tomchuk – ProQuest LLC, 2021
It has been established in prior research that parent involvement and school-family partnerships have the potential to positively impact student achievement; however, creating and maintaining positive and productive parent-teacher communication can be difficult. Since teachers function as the link between school and the home, there is an increased…
Descriptors: Parent Participation, Parent Teacher Cooperation, Predictor Variables, Correlation
Julsar T. Calonia; Dickson P. Pagente; Daisy Jane C. Desierto; Rodrigo T. Capio; Jeacelle Ann P. Tembrevilla; Charish A. Guzman; Ariel Jay S. Nicor – Online Submission, 2023
Effective time management, encompassing prioritization, overcoming procrastination, and balancing socialization, is crucial for academic success as it enables students to optimize their productivity, focus on important tasks, and maintain a healthy work-life balance, leading to improved academic achievements. Thus, the present study tried to…
Descriptors: Time Management, Study Habits, Student Attitudes, Social Life
Jing Liu; Megan Kuhfeld; Monica Lee – Annenberg Institute for School Reform at Brown University, 2023
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Student Behavior, Predictor Variables, Predictive Validity, Academic Achievement
Marini, Jessica P.; Westrick, Paul A.; Shaw, Emily J. – College Board, 2021
The purpose of this study is to understand how well the national SAT Validity Study results (Westrick et al., 2019), which is based on the entering class of 2017, generalize to other cohorts of students and how well the SAT predicts longer term outcomes beyond first-year grade point average (FYGPA) and second-year retention. Results show that the…
Descriptors: College Entrance Examinations, Predictor Variables, Academic Achievement, Grade Point Average
José Manuel Arencibia Alemán; Astrid Marie Jorde Sandsør; Henrik Daae Zachrisson; Sigrid Blömeke – Assessment in Education: Principles, Policy & Practice, 2024
Modest correlations between teacher-assigned grades and external assessments of academic achievement (r = 0.40-0.60) have led many educational stakeholders to deem grades subjective and unreliable. However, theoretical and methodological challenges, such as construct misalignment, data unavailability and sample unrepresentativeness, limit the…
Descriptors: Grades (Scholastic), Grading, Achievement Tests, Test Validity
Shah, Amanda A. – ProQuest LLC, 2022
Higher education institutions face heightened accountability for student success. As such, higher education relies heavily on big data to predict student outcomes. This process is problematic because predictive models are developed on historical data, are deficit based, and are focused on student factors, neglecting institutional factors. The…
Descriptors: Higher Education, Academic Achievement, Accountability, Outcomes of Education
Tang, Hui; Huo, Zhongkai; Liu, Chaojie; Liu, Zhijun; Wong, Y. Joel – Journal of Psychoeducational Assessment, 2021
This study tested the factor structure, reliability, and criterion validity of the Academic Encouragement Scale (AES) in 690 university students in China. The AES displayed good internal consistency and test--retest reliability. The data provided evidence supporting a two-factor structure: challenge focused encouragement (CFE) and potential…
Descriptors: Psychometrics, Academic Achievement, Measures (Individuals), Foreign Countries
Abdelfattah, Faisal A.; Obeidat, Omar S.; Salahat, Yousef A.; BinBakr, Maha B.; Al Sultan, Adam A. – Journal of Applied Research in Higher Education, 2022
Purpose: This study examined predictors of cumulative grade point average (GPA) from entrance scores and successive performance during students' academic work in university engineering programs. Design/methodology/approach: Scores from high school coursework, the General Ability Test and the Achievement Test were examined to determine if these…
Descriptors: Prediction, Validity, Scores, Grade Point Average
Campbell, Janine Anne; Idsøe, E.; Størksen, I. – Scandinavian Journal of Educational Research, 2023
Low cost, non-invasive instruments for the identification of high academic potential in early childhood education and care are scarce, and the complexity of cognitive development indicates that combinations of screening instruments are needed. This study investigates the reliability and validity of three instruments (individually and in…
Descriptors: Screening Tests, Academic Achievement, Test Validity, Academic Ability