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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
Sordo, Silvia Álava; Garrido-Hernansaiz, Helena; Cantero-García, María; Sánchez-Iglesias, Iván; González-Moreno, Jesús; Santacreu, José – Electronic Journal of Research in Educational Psychology, 2021
Introduction: There are different tests that assess attention and can help to make a differential diagnosis between ADHD and Learning Disabilities (LD), but there appears to be little research on the convergent and predictive validity of these tests. The aim of this study was to analyze the convergent validity of the EMAV, Caras, d2, AGL, CPT-II…
Descriptors: Test Validity, Attention Deficit Hyperactivity Disorder, Learning Disabilities, Clinical Diagnosis
Julian F. Lohmann; Steffen Zitzmann; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…
Descriptors: Time Management, Behavioral Science Research, Predictive Validity, Predictor Variables
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
Cláudio Manoel Ferreira Leite; Herbert Ugrinowitsch; Crislaine Rangel Couto – Journal of Motor Learning and Development, 2024
Knowledge of results (KR), particularly its informational role, has often been regarded as redundant for learning interception-like tasks, such as coincidence-anticipation timing tasks. However, it is possible that the KR's guiding effect might be detrimental to motor adaptation, instead of only redundant, leading to a dependency on KR and…
Descriptors: Foreign Countries, Undergraduate Students, Psychomotor Skills, Motor Development
Dan Goldhaber; Cyrus Grout – Center for Education Data & Research, 2024
Turnover in the teacher workforce imposes significant costs to schools, both in terms of student achievement and the time and expense required to recruit and train new staff. This paper examines the potential for structured ratings of teacher applicants, solicited from their professional references, to inform hiring decisions through the selection…
Descriptors: Teachers, Faculty Mobility, Teacher Recruitment, Teacher Persistence
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
Woods, Isaac L., Jr.; Niileksela, Christopher; Floyd, Randy G. – Contemporary School Psychology, 2021
Racial/ethnic bias in the prediction of students' educational potential was questioned in the Larry P. Vs. Riles case. The construct and predictive validity of the Woodcock-Johnson IV Tests of Cognitive Abilities (WJ IV; Schrank et al. 2014b) have not been examined for racial/ethnic bias. This study extended Keith's (1999) examination of bias…
Descriptors: Cognitive Ability, Cognitive Tests, Predictor Variables, Reading Achievement
Download full textRazmi, Mohammad Hasan; Khabir, Masoud; Tilwani, Shouket Ahmad – International Journal of Language Testing, 2021
Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…
Descriptors: Meta Analysis, Predictive Validity, College Entrance Examinations, Graduate Study
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Ivcevic, Zorana; Hoffmann, Jessica D. – Journal of Creative Behavior, 2022
In a sample of high school students (preliminary study: N = 224; main study: N = 235 and 194 at two time points in the beginning and the end of the school year), we developed and tested a self-report measure of attitudes toward creativity. Exploratory factor analyses identified and replicated one factor of positive attitudes toward…
Descriptors: Creativity, High School Students, Student Attitudes, Value Judgment
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
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
Richard Churches; Kate Wastie; Max Jones; Colin Penfold – Education Development Trust, 2023
Teacher professional development is complex, and despite evidence from randomised controlled trials about key factors influencing this process, there is little research about how abilities prior to initial teacher training (ITT) influence early classroom practice. In England, many schools face teacher recruitment and retention challenges and…
Descriptors: Faculty Development, Teaching Skills, Prior Learning, Preservice Teachers
