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Yalcin, Seher – Research Papers in Education, 2022
This study aims to identify the literacy skills of individuals whose highest level of education was in the field 'teacher training and educational sciences'. The study sample comprised 10,618 individuals in the field of teacher training and educational sciences, selected from 31 countries (participating in the International Adult Skills Assessment…
Descriptors: Literacy, Reading Skills, Educational Attainment, Adults
Joann L. Moore; Joyce Z. Schnieders – ACT Education Corp., 2025
This study investigated the value of ACT Composite scores and high school GPA (HSGPA) in predicting first-year college GPA (FYGPA) and degree completion of students with disabilities who took the ACT with accommodations and enrolled at a two-year or four-year public institution in a single state in the southern US. Descriptive analyses found that…
Descriptors: College Entrance Examinations, Scores, Grade Point Average, High School Students
Marisa de la Torre; Elaine Allensworth; Kaitlyn Franklin – Society for Research on Educational Effectiveness, 2024
Background/Context: English learners (ELs) have the potential to bring much-needed multilingual skills to the workforce, and most ELs aspire to graduate high school and earn a post-secondary credential (Gwynne, Pareja, Ehrlich, & Allensworth, 2012; Shi & Watkinson, 2019). But active ELs graduate high school at far lower rates than their…
Descriptors: English Language Learners, High School Students, At Risk Students, Student Characteristics
Mendoza-Sanchez, Itza; deGruyter, Justine N.; Savage, Nowlan T.; Polymenis, Michael – CBE - Life Sciences Education, 2022
There is interest in admission criteria that predict future success in biomedical graduate school programs, but identifying predictors of PhD attainment is inherently complex. In particular, high noncompletion rates of PhD programs have long been recognized as a major crisis. Here, we present a quantitative analysis of the PhD students enrolled in…
Descriptors: Grade Point Average, Undergraduate Students, Predictor Variables, Doctoral Students
Watts, Tyler W. – AERA Open, 2020
The current article reexamines the correlation between achievement test scores and earnings by providing new evidence on the association between academic skills and measures of adult earnings assessed when participants were in their 30s, 40s, and 50s. Results suggest that math and reading scores are strong predictors of economic attainment…
Descriptors: Educational Attainment, Income, Scores, Adults
Okumura, Yuko; Kobayashi, Tessei – Infant and Child Development, 2022
Literacy exposure checklists that assess parental picture book knowledge (Parental Title Checklist [PTC] and Parental Author Checklist [PAC]) have been developed as proxy measures for literacy environments. Although previous research suggests that parental picture book knowledge is a strong predictor of language skills for preschoolers older than…
Descriptors: Mothers, Picture Books, Knowledge Level, Educational Attainment
Atasoy, Ramazan; Güçlü, Nezahat – World Journal of Education, 2020
In this research, it is aimed to put forward the variables that predict the numeracy skills in PIAAC of Turkey, to reveal the relationship between the numeracy skills with educational level, education level of parents, number of books in the household, and annual income. It is also aimed to evaluate the quality of educational outcomes of the…
Descriptors: Foreign Countries, Numeracy, Mathematics Skills, Adults
Laura Dalnoki; Petra P. M. Hurks; Jessica S. Gubbels; Simone J. P. M Eussen; Monique Mommers; Carel Thijs – Journal of Attention Disorders, 2025
Objective: Maladaptive daydreaming (MD) is characterized by vivid, excessive fantasy activity that becomes prioritized over other activities and may result in avoidant coping strategies. Little is known about the relationship between MD and internalized stigma in the neurodivergent sample. The current study aimed to examine emotional…
Descriptors: Attention Deficit Hyperactivity Disorder, Eating Habits, Symptoms (Individual Disorders), Autism Spectrum Disorders
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 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, Higher Education, Predictive Measurement, Models
Treat, Amy E.; Sheffield Morris, Amanda; Hays-Grudo, Jennifer; Williamson, Amy C. – Journal of Child Language, 2020
This study investigated the associations between maternal depression when infants were 3 to 11 months old (M = 6 months), and positive parenting behaviors when children were between 12 and 22 months (M = 17 months) and the home language environment assessed when children were 18 to 28 months old (M = 23.5 months) in a sample of 29 low-income…
Descriptors: Mothers, Depression (Psychology), Correlation, Infants
Dale, Philip S.; von Stumm, Sophie; Selzam, Saskia; Hayiou-Thomas, Marianna E. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The ability to identify children early in development who are at substantial risk for language/literacy difficulties would have great benefit both for the children and for the educational and therapeutic institutions that serve them. Information that is relatively easily available prior to the age of 3 years, such as late talking, family…
Descriptors: Genetics, Scores, Risk, Prediction
Månsson, Johanna; Stjernqvist, Karin; Serenius, Fredrik; Ådén, Ulrika; Källén, Karin – Journal of Psychoeducational Assessment, 2019
The study aim was to explore the relationship between a developmental assessment at preschool age and an intelligence quotient (IQ) assessment at school age. One hundred sixty-two children were assessed at 2.5 years with the Bayley Scales of Infant and Toddler Development--Third Edition (Bayley-III) and then at 6.5 years with the Wechsler…
Descriptors: Child Development, Infants, Intelligence Tests, Correlation
Holzman, Brian; Hanson, Vansa Shewakramani – Houston Education Research Consortium, 2020
Free Application for Federal Student Aid (FAFSA) verification and its role in summer melt is examined in this brief. "Summer melt" is when high school seniors who appear ready to go to college the fall following graduation do not enroll. The study revealed one-third of Houston Independent School District (HISD) college-intending students…
Descriptors: Federal Aid, Student Financial Aid, College Attendance, Intention
Abbasian, Reza; Hadian, Bahram; Vaez-Dalili, Mehdi – Cogent Education, 2020
Although non-native English speakers have been defined as a single distinct group in the most research literature, it has been relatively recently argued that they extensively vary in socio-cultural background, socio-economic status (SES), and parental education background wherein they grow cognitively. The present research, therefore, was…
Descriptors: Socioeconomic Status, Family Characteristics, Parent Background, Educational Attainment
Galla, Brian M.; Shulman, Elizabeth P.; Plummer, Benjamin D.; Gardner, Margo; Hutt, Stephen J.; Goyer, J. Parker; D'Mello, Sidney K.; Finn, Amy S.; Duckworth, Angela L. – American Educational Research Journal, 2019
Compared with admissions test scores, why are high school grades better at predicting college graduation? We argue that success in college requires not only cognitive ability but also self-regulatory competencies that are better indexed by high school grades. In a national sample of 47,303 students who applied to college for the 2009/2010 academic…
Descriptors: Grades (Scholastic), Predictor Variables, Time to Degree, Scores