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Direct linkYongtian Cheng; K. V. Petrides – Educational and Psychological Measurement, 2025
Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…
Descriptors: Psychological Studies, Artificial Intelligence, Cognitive Processes, Predictive Validity
Jacqueline M. Caemmerer; Stephanie Ruth Young; Danika Maddocks; Natalie R. Charamut; Eunice Blemahdoo – Journal of Psychoeducational Assessment, 2024
In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…
Descriptors: Predictor Variables, Academic Achievement, Intelligence Tests, Children
Download full textYijun Zhao; Zhengxin Qi; Son Tung Do; John Grossi; Jee Hun Kang; Gary M. Weiss – International Educational Data Mining Society, 2024
GRE Aptitude Test scores have been a key criterion for admissions to U.S. graduate programs. However, many universities lifted their standardized testing requirements during the COVID-19 pandemic, and many decided not to reinstate them once the pandemic ended. This change poses additional challenges in evaluating prospective students. In this…
Descriptors: College Entrance Examinations, Graduate Study, Scores, College Applicants
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
Matthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
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
Hülür, Gizem; Gasimova, Fidan; Robitzsch, Alexander; Wilhelm, Oliver – Child Development, 2018
Intellectual engagement (IE) refers to enjoyment of intellectual activities and is proposed as causal for knowledge acquisition. The role of IE for cognitive development was examined utilizing 2-year longitudinal data from 112 ninth graders (average baseline age: 14.7 years). Higher baseline IE predicted higher baseline crystallized ability but…
Descriptors: Intellectual Experience, Learner Engagement, Cognitive Development, Longitudinal Studies
Sternberg, Robert J.; Bonney, Christina R.; Gabora, Liane; Merrifield, Maegan – Educational Psychologist, 2012
This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…
Descriptors: Intelligence, College Students, Grade Point Average, Prediction
Li, Shaofeng – Studies in Second Language Acquisition, 2016
A meta-analysis was conducted to examine the construct validity of language aptitude by synthesizing the existing research that has been accumulated over the past five decades. The study aimed to provide a thorough understanding of the construct by aggregating the data reported in the primary research on its correlations with other individual…
Descriptors: Meta Analysis, Construct Validity, Language Skills, Correlation
The Complex Route to Success: Complex Problem-Solving Skills in the Prediction of University Success
Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
Skaar, Nicole R.; Williams, John E. – Journal on Educational Psychology, 2012
The current study aimed to investigate emotional intelligence as a predictor of adolescent risk participation and risk perception. While research has suggested that certain personality traits relate to adolescent risk behavior and perception, the extent to which emotional intelligence relates to risk behavior participation and perception is…
Descriptors: Emotional Intelligence, Adolescents, Risk, Predictor Variables
Mayo, Aziza; Siraj, Iram – Oxford Review of Education, 2015
Given the disadvantaged position of working-class children in the education system, it is important to understand how parents and families might support their children to succeed academically. This paper reports on 35 case studies that were conducted as part of the Effective Provision of Pre-School, Primary and Secondary Education (EPPSE 3-16)…
Descriptors: Academic Achievement, Socioeconomic Status, Low Income Groups, Parenting Styles
Salguero, Jose M.; Palomera, Raquel; Fernandez-Berrocal, Pablo – European Journal of Psychology of Education, 2012
In recent years, emotional intelligence has appeared as a predictor of adults' mental health, but little research has examined its involvement in adolescents' psychological adjustment. In this paper, we analyzed the predictive validity of perceived emotional intelligence (attention to feelings, emotional clarity, and emotional repair) over…
Descriptors: Emotional Intelligence, Maintenance, Mental Health, Predictive Validity
Masten, Ann S.; Herbers, Janette E.; Desjardins, Christopher David; Cutuli, J. J.; McCormick, Christopher M.; Sapienza, Julianna K.; Long, Jeffrey D.; Zelazo, Philip David – Educational Researcher, 2012
The authors examined the role of executive function (EF) skills as a predictor of kindergarten or first-grade adjustment in 138 children living in shelters for homeless families. During the summer, children completed a battery of six EF tasks and three IQ measures. Teachers later rated children's school adjustment in five domains of achievement…
Descriptors: Academic Achievement, Factor Analysis, Evidence, Construct Validity
Hajhashemi, Karim – English Language Teaching, 2012
The purpose of this study was to examine whether performance in MI could predict the performance in reading competency. The other objectives were to identify the components of MI which are correlated with the reading test scores, and to determine the relationship between the multiple intelligences and reading proficiency. A descriptive and ex post…
Descriptors: Reading Achievement, Predictor Variables, Language Proficiency, Multiple Intelligences
