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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
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
Kilicer, Kerem; Bardakci, Salih; Arpaci, Ibrahim – Contemporary Educational Technology, 2018
For today's societies trying to cope with the current globally increased competition, existence of individuals who can take risks, solve problems and adopt changes an innovation has gained more importance when compared to the past. This situation brings responsibility to educational institutions for increasing the number of innovative individuals…
Descriptors: Predictor Variables, Technology Uses in Education, Innovation, Student Characteristics
Akos, Patrick; Kretchmar, Jen – Review of Higher Education, 2017
Admissions professionals have historically relied on measures of cognitive ability and academic achievement to make decisions about which applicants are admitted to their institutions. At the very least, selection on the basis of these factors (high school grades and standardized test scores) alone potentially decreases ethnic and socioeconomic…
Descriptors: Predictor Variables, Student Characteristics, Persistence, Grade Point Average
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Goldstein, Jessica; McCoach, D. Betsy; Yu, HuiHui – Journal of Educational Research, 2017
Recent federal investments in early childhood assessment systems are the result of a national need for developmentally appropriate, psychometrically sound instruments to monitor young children and evaluate the effectiveness of their learning programs. In this paper, we examined the association between teachers' perceptions of their students at the…
Descriptors: Kindergarten, School Readiness, Early Childhood Education, Teacher Attitudes
Brouwer, Jasperina; Jansen, Ellen; Hofman, Adriaan; Flache, Andreas – Research in Post-Compulsory Education, 2016
Two theoretical approaches underlie this investigation of the determinants of early study success among first-year university students. Specifically, to extend Walberg's educational productivity model, this study draws on the expectancy-value theory of achievement motivation in a contemporary university context. The survey data came from 407…
Descriptors: College Freshmen, Progress Monitoring, Success, Achievement Need
Burke, Mathew R.; Davis, Elizabeth; Stephan, Jennifer L. – Society for Research on Educational Effectiveness, 2016
Postsecondary education is a fundamental tool for achieving upward mobility and economic growth. Students with an associate's or bachelor's degree earn substantially more in a lifetime and experience better working conditions and job benefits than students with only a high school diploma. This study examines differences in public college…
Descriptors: High School Graduates, College Bound Students, Enrollment Trends, Rural Population
Beard, Jonathan; Marini, Jessica P. – College Board, 2015
The continued accumulation of validity evidence for the intended uses of educational assessment scores is critical to ensure that inferences made using the scores are sound. To that end, the College Board has continued to collect college outcome data to evaluate the relationship between SAT® scores and college success. This report provides updated…
Descriptors: Statistical Data, Predictive Validity, Educational Assessment, Evidence
Oslund, Eric L.; Simmons, Deborah C.; Hagan-Burke, Shanna; Kwok, Oi-Man; Simmons, Leslie E.; Taylor, Aaron B.; Coyne, Michael D. – Learning Disability Quarterly, 2015
This study examined the changing role and longitudinal predictive validity of curriculum-embedded progress-monitoring measures (CEMs ) for kindergarten students receiving Tier 2 intervention and identified as at risk of developing reading difficulties. Multiple measures were examined to determine whether they could predict comprehensive latent…
Descriptors: Predictor Variables, Curriculum, Reading Achievement, Kindergarten
Singh, Malkeet – Journal of Educational Research, 2015
Closing the achievement gap in public education is a worthy goal that has been included as a top priority in the No Child Left Behind Act of 2001 (2002). This study analyzed the most salient predictors at the student and school levels to identify their long-term impact on mathematics achievement from the elementary grades to high school. The…
Descriptors: Socioeconomic Influences, Achievement Gap, Public Education, Mathematics Achievement
Silva-Maceda, Gabriela; Arjona-Villicaña, P. David; Castillo-Barrera, F. Edgar – IEEE Transactions on Education, 2016
Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students (N = 1168) learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the…
Descriptors: Programming, Teaching Methods, Intermode Differences, Cohort Analysis
Mattern, Krista D.; Patterson, Brian F. – College Board, 2012
The College Board formed a research consortium with four-year colleges and universities to build a national higher education database with the primary goal of validating the revised SAT®, which consists of three sections: critical reading (SAT-CR), mathematics (SAT-M), and writing (SAT-W), for use in college admission. A study by Mattern and…
Descriptors: College Entrance Examinations, Scores, Test Validity, Academic Persistence
Letkiewicz, Jodi; Lim, Hanna; Heckman, Stuart; Bartholomae, Suzanne; Fox, Jonathan J.; Montalto, Catherine P. – Journal of College Student Retention: Research, Theory & Practice, 2014
This study uses an integrative persistence model to examine college students' expected time-to-degree as a function of sociological and economic factors. The data used in this study are from the 2010 Ohio Student Financial Wellness Survey (SFWS), a web-based survey of undergraduate college students. Of the students surveyed, 25% indicated that…
Descriptors: Graduation Rate, Predictor Variables, Predictive Validity, Time to Degree

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