Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 9 |
Descriptor
Source
| Psychological Methods | 2 |
| AERA Open | 1 |
| Annals of Dyslexia | 1 |
| Autism & Developmental… | 1 |
| Behavioral Research and… | 1 |
| Early Childhood Research… | 1 |
| Journal of Educational and… | 1 |
| Scandinavian Journal of… | 1 |
Author
Publication Type
| Journal Articles | 8 |
| Reports - Research | 7 |
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
| Postsecondary Education | 3 |
| Early Childhood Education | 2 |
| Higher Education | 2 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 2 | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
| Two Year Colleges | 1 |
Audience
Location
| Netherlands | 1 |
| Norway | 1 |
| Scandinavia | 1 |
| Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Illinois Test of… | 1 |
| Neale Analysis of Reading… | 1 |
| Raven Progressive Matrices | 1 |
| Stanford Achievement Tests | 1 |
| Wechsler Preschool and… | 1 |
What Works Clearinghouse Rating
Yannick Rothacher; Carolin Strobl – Journal of Educational and Behavioral Statistics, 2024
Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…
Descriptors: Predictor Variables, Selection Criteria, Behavioral Sciences, Reliability
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
Yamamoto, Scott H.; Alverson, Charlotte Y. – Autism & Developmental Language Impairments, 2022
Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, High School Graduates, Outcomes of Education
Hagen, Åste Mjelve; Knoph, Rebecca; Hjetland, Hanne Naess; Rogde, Kristin; Lawrence, Joshua Fahey; Lervåg, Arne; Melby-Lervåg, Monica – Scandinavian Journal of Educational Research, 2022
Listening comprehension involves the ability to understand and extract meaning from spoken sentences, stories, and instruction. This skill is vital for young children and has long-term effects on school achievement, employability, income, and participation in society. There is a lack of measures of young children's listening comprehension skills.…
Descriptors: Preschool Children, At Risk Students, Listening Comprehension, Language Acquisition
Tamboer, Peter; Vorst, Harrie C. M.; Oort, Frans J. – Annals of Dyslexia, 2014
Methods for identifying dyslexia in adults vary widely between studies. Researchers have to decide how many tests to use, which tests are considered to be the most reliable, and how to determine cut-off scores. The aim of this study was to develop an objective and powerful method for diagnosing dyslexia. We took various methodological measures,…
Descriptors: Dyslexia, Foreign Countries, Adults, College Students
Moreno, Amanda J.; Klute, Mary M. – Early Childhood Research Quarterly, 2011
This study documents the reliability and validity of a new infant-toddler authentic assessment, the Learning Through Relating Child Assets Record (LTR-CAR), and its feasibility of use by infant-toddler caregivers in an Early Head Start program. In a sample of 136 children, results indicated a strong internal structure of the LTR-CAR as evidenced…
Descriptors: Performance Based Assessment, Disadvantaged Youth, Caregivers, Toddlers
Lecoutre, Bruno; Lecoutre, Marie-Paule; Poitevineau, Jacques – Psychological Methods, 2010
P. R. Killeen's (2005a) probability of replication ("p[subscript rep]") of an experimental result is the fiducial Bayesian predictive probability of finding a same-sign effect in a replication of an experiment. "p[subscript rep]" is now routinely reported in "Psychological Science" and has also begun to appear in…
Descriptors: Research Methodology, Guidelines, Probability, Computation
Iverson, Geoffrey J.; Wagenmakers, Eric-Jan; Lee, Michael D. – Psychological Methods, 2010
The purpose of the recently proposed "p[subscript rep]" statistic is to estimate the probability of concurrence, that is, the probability that a replicate experiment yields an effect of the same sign (Killeen, 2005a). The influential journal "Psychological Science" endorses "p[subscript rep]" and recommends its use…
Descriptors: Effect Size, Evaluation Methods, Probability, Experiments
Jamgochian, Elisa; Park, Bitnara Jasmine; Nese, Joseph F. T.; Lai, Cheng-Fei; Saez, Leilani; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, we provide reliability and validity evidence for the easyCBM[R] Reading measures for grade 2 (word and passage reading fluency and multiple choice reading comprehension). Evidence for reliability includes internal consistency and item invariance. Evidence for validity includes concurrent, predictive, and construct…
Descriptors: Grade 2, Reading Comprehension, Testing Programs, Reading Fluency

Peer reviewed
Direct link
