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Direct linkAndrew W. Corcoran; Kelsey Perrykkad; Daniel Feuerriegel; Jonathan E. Robinson – Perspectives on Psychological Science, 2025
Embodied cognition--the idea that mental states and processes should be understood in relation to one's bodily constitution and interactions with the world--remains a controversial topic within cognitive science. Recently, however, increasing interest in predictive processing theories among proponents and critics of embodiment alike has raised…
Descriptors: Physiology, Brain, Cognitive Development, Prenatal Influences
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
Download full textAyfer Sayin; Okan Bulut – International Journal of Assessment Tools in Education, 2024
Test development is a complicated process that demands examining various factors, one of them being writing items of varying difficulty. It is important to use items of a different range of difficulty to ensure that the test results accurately indicate the test-taker's abilities. Therefore, the factors affecting item difficulty should be defined,…
Descriptors: Foreign Countries, High Schools, Standardized Tests, Placement Tests
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Cunningham, James W.; Hiebert, Elfrieda H.; Mesmer, Heidi Anne – Reading and Writing: An Interdisciplinary Journal, 2018
In recent years, readability formulas have gained new prominence as a basis for selecting texts for learning and assessment. Variables that quantitative tools count (e.g., word frequency, sentence length) provide valid measures of text complexity insofar as they accurately predict representative and high-quality criteria. The longstanding…
Descriptors: Readability, Readability Formulas, Evaluation Methods, Correlation
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
Abós Catalán, Ángel; Sevil Serrano, Javier; Julián Clemente, José Antonio; Martín-Albo Lucas, José; García-González, Luis – International Journal for Educational and Vocational Guidance, 2018
The present study aimed to validate a Spanish-version of the Basic Psychological Needs at Work Scale (BPNWS-Sp) and to examine the associations between needs satisfaction and engagement and burnout in secondary education teachers. Using a sample of 584 secondary education teachers, the results supported the three-factor model, composite…
Descriptors: Psychological Needs, Teacher Attitudes, Attitude Measures, Behavior Rating Scales
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Alonzo, Crystle N.; Yeomans-Maldonado, Gloria; Murphy, Kimberly A.; Bevens, Beau – Topics in Language Disorders, 2016
Purpose: The purpose of this study was to determine prekindergarten predictors of listening comprehension in second grade. Methods: Within a large, 5-year longitudinal study, children progressing from prekindergarten to second grade were administered a comprehensive set of prekindergarten measures of foundational language skills (vocabulary and…
Descriptors: Preschool Education, Grade 2, Outcome Measures, Predictive Measurement
Copeland, Christopher T. – Creativity Research Journal, 2016
Previous characterizations of rumination do not account for why a reflective style of ruminative response to negative mood, as opposed to a brooding style, is linked with greater creativity--especially when indecision is high. Moreover, less is known about ruminative responses to positive mood. The purpose of this investigation is to demonstrate…
Descriptors: Psychological Patterns, Decision Making, Creativity, Creative Thinking
Morris, Darrell; Perney, Jan – Reading & Writing Quarterly, 2018
After considering the relationships between (a) reading fluency and reading rate and (b) reading rate and sight vocabulary, this study addressed a very practical question. Can a cut score on a sight vocabulary task (1-min) predict level of reading fluency 4+ months into the future? The prediction was tested at multiple times point across grades…
Descriptors: Reading Fluency, Sight Method, Sight Vocabulary, Predictive Validity
Hanauer, David I.; Graham, Mark J.; Hatfull, Graham F. – CBE - Life Sciences Education, 2016
Curricular changes that promote undergraduate persistence in science, technology, engineering, and mathematics (STEM) disciplines are likely associated with particular student psychological outcomes, and tools are needed that effectively assess these developments. Here, we describe the theoretical basis, psychometric properties, and predictive…
Descriptors: College Students, Academic Persistence, Psychometrics, Predictive Validity
Horn, Aaron S.; Lee, Giljae – Research in Higher Education, 2016
A relatively simple way of measuring institutional effectiveness in relation to degree completion is to estimate the difference between an actual and predicted graduation rate, but the reliability and validity of this method have not been thoroughly examined. Longitudinal data were obtained from IPEDS for both public and private not-for-profit…
Descriptors: Regression (Statistics), Test Reliability, Test Validity, Graduation Rate
Edyburn, Kelly L.; Quirk, Matthew; Felix, Erika; Swami, Sruthi; Goldstein, Ariel; Terzieva, Antoniya; Scheller, Jennifer – Literacy Research and Instruction, 2017
This study examined the relative contributions of Latino/a children's (N = 102) school readiness and early literacy skills during kindergarten in predicting first grade reading achievement. By using discriminant function analyses, the current study identified a set of areas to assess that could be used to effectively screen children during…
Descriptors: Kindergarten, Hispanic American Students, Reading Achievement, Literacy
Dong, Ying; Stupnisky, Robert H.; Obade, Masela; Gerszewski, Tammy; Ruthig, Joelle C. – Social Psychology of Education: An International Journal, 2015
Causal attributions (explanations for outcomes) have been found to predict college students' academic success; however, not all students attributing success or failure to adaptive (i.e., controllable) causes perform well in university. Eccles et al.'s ("Achievement and achievement motives." W.H. Freeman, San Francisco, pp 75-145, 1983)…
Descriptors: Attribution Theory, Academic Achievement, Success, College Students
