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Peer reviewed
Download full textGomes, Cristiano Mauro Assis; Almeida, Leandro S. – Practical Assessment, Research & Evaluation, 2017
Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…
Descriptors: Predictive Measurement, Statistical Analysis, Decision Making, Foreign Countries
Qin, Lu; Phillips, Glenn Allen – International Journal of Higher Education, 2019
The 3-year graduation rate is a rarely measured metric in higher education compared to its 4- or 6- year graduation rate counterparts. For the first time in college (FTIC) students to graduate in three years, they must come with certain skills, abilities, plans, supports, or motivations. This project considers two distinct but interrelated ways of…
Descriptors: Graduation Rate, Time to Degree, College Credits, Grade Point Average
Direct linkHall, Mark M.; Worsham, Rachel E.; Reavis, Grey – Community College Review, 2021
Objective: This study examined the effects of offering proactive student-success coaching, informed by predictive analytics, on student academic performance and persistence. Specifically, this study investigated semester grade point average (GPA) and semester-to-semester persistence of community college students as outcomes. Methods: This study…
Descriptors: Academic Achievement, Academic Persistence, School Holding Power, Coaching (Performance)
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
Mesa, Carol; Yeomans-Maldonado, Gloria – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The purpose of the current study was to examine the role that the 1st language, Spanish, at prekindergarten (pre-K) plays in predicting 2nd language (L2), English, word reading in 1st grade. In addition, it examines the role of conceptual vocabulary in predicting word reading in English. Method: As part of a longitudinal study of…
Descriptors: Preschool Children, Spanish, Oral Language, Grade 1
Rajabalee, Yousra Banoor; Santally, Mohammad Issack; Rennie, Frank – International Journal of Distance Education Technologies, 2020
This paper reports the findings of a research using marks of students in learning activities of an online module to build a predictive model of performance for the final assessment of the module. The objectives were (1) to compare the performances of students of two cohorts in terms of continuous learning assessment marks and final learning…
Descriptors: Performance Factors, Electronic Learning, Learning Analytics, Learning Activities
Adetona, Abel Adekanmi – International Journal of Evaluation and Research in Education, 2017
The study aimed at assessing how students and teachers factor taken together influence students' achievement in Statistics as well as their relative contribution to the prediction. Two research questions were raised and purposive sampling was adopted to select national diploma year 2 students since they are already in their final level in the…
Descriptors: Teacher Student Relationship, Statistics, Academic Achievement, Foreign Countries
Longobardi, Claudio; Pasta, Tiziana; Marengo, Davide; Prino, Laura Elvira; Settanni, Michele – Journal of Experimental Education, 2020
Through two studies, this work examined the applicability, interpretability, and construct validity of the Classroom Assessment Scoring System K-3 (CLASS) to measure quality of classroom interactions. In the first study, the CLASS was used in 332 classrooms to test three alternative models (in time order, the one-, three-factor, and two-factor…
Descriptors: Classroom Communication, Elementary School Students, Elementary School Teachers, Teacher Student Relationship
Howe, Christopher C. F.; Moir, Hannah J.; Easton, Chris – Measurement in Physical Education and Exercise Science, 2017
This study establishes tri-axial activity count (AC) cut-points for the GT3X+ accelerometer to classify physical activity intensity in overweight and obese adults. Further, we examined the accuracy of established and novel energy expenditure (EE) prediction equations based on AC and other metrics. "Part 1": Twenty overweight or obese…
Descriptors: Obesity, Adults, Exercise Physiology, Exercise
Kim, Minkyung; Crossley, Scott A.; Kyle, Kristopher – Modern Language Journal, 2018
This study conceptualizes lexical sophistication as a multidimensional phenomenon by reducing numerous lexical features of lexical sophistication into 12 aggregated components (i.e., dimensions) via a principal component analysis approach. These components were then used to predict second language (L2) writing proficiency levels, holistic lexical…
Descriptors: Language Proficiency, Lexicology, Multidimensional Scaling, Language Acquisition
Ames, Allison; Myers, Aaron – Educational Measurement: Issues and Practice, 2019
Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…
Descriptors: Bayesian Statistics, Psychometrics, Models, Predictive Measurement
Emma Armstrong-Carter; Jenna E. Finch; Sima Siyal; Aisha K. Yousafzai; Jelena Obradovic – Grantee Submission, 2020
Many young children in low- and middle-income countries (LMICs) face heightened risk for experiencing environmental adversity, which is linked with poorer develop- mental outcomes. Children's stress physiology can shed light on why children are differentially susceptible to adversity. However, no known studies have examined whether links between…
Descriptors: Foreign Countries, Preschool Children, Preschool Education, Low Income Students
Hackett, Daniel A.; Davies, Timothy B.; Ibel, Denis; Cobley, Stephen; Sanders, Ross – Measurement in Physical Education and Exercise Science, 2018
This study examined the predictive ability of the medicine ball chest throw and vertical jump for muscular strength and power in adolescents. One hundred and ninety adolescents participated in this study. Participants performed trials of the medicine ball chest throw and vertical jump, with vertical jump peak power calculated via an estimation…
Descriptors: Predictive Measurement, Muscular Strength, Adolescents, Age Differences
Widenhorn, Ralf – Physics Teacher, 2016
The Portland Timbers won their first Major League Soccer (MLS) Cup Championship in December 2015. However, if it had not been for a kind double goalpost miss during a penalty shootout a few weeks earlier, the Timbers would never have been in the finals. On Oct. 30th, after what has been called "the greatest penalty kick shootout in MLS…
Descriptors: Team Sports, Computation, Probability, Incidence
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
