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Yuanmo He; Milena Tsvetkova – Sociological Methods & Research, 2025
The rise of social media has opened countless opportunities to explore social science questions with new data and methods. However, research on socioeconomic inequality remains constrained by limited individual-level socioeconomic status (SES) measures in digital trace data. Following Bourdieu, we argue that the commercial and entertainment…
Descriptors: Socioeconomic Status, Web Sites, Social Media, Reputation
Tugba Alagöz; Yusuf Inandi; Yüksel Gündüz – International Journal of Assessment Tools in Education, 2025
In this study, it was aimed to examine the relationship between teachers' organizational commitment and career anxiety. A cross-sectional correlational design belonging to the relational survey model was used. A simple random sampling method was utilized to determine the sample. The sample consisted of 384 teachers. Personal Information Form,…
Descriptors: Teacher Persistence, Anxiety, Teacher Attitudes, Correlation
Laura N. Henry; Rachel A. Gross; Stephen P. Hinshaw – Journal of Learning Disabilities, 2025
Youth with attention-deficit/hyperactivity disorder (ADHD) often exhibit impairments in mathematics, but long-term math development into adulthood, particularly in females, is underexplored. We characterized trajectories of math achievement in girls with ADHD and an age- and ethnicity-matched comparison sample from childhood through early…
Descriptors: Attention Deficit Hyperactivity Disorder, Mathematics Achievement, Females, Children
Cesar Teló; Rosane Silveira; Ana Flávia Boeing Marcelino; Mary G. O'Brien – Applied Linguistics, 2024
Evidence from Canada suggests that accent bias can be moderated by speakers' demonstrated job-relevant performance and the prestige level of their occupation (Teló et al. 2022). In this study, we replicated Teló et al.'s (2022) work in Brazil. First language (L1) Brazilian Portuguese-speaking listeners rated audio recordings of L1 Brazilian…
Descriptors: Foreign Countries, Portuguese, Spanish Speaking, Social Bias
Hawkley, Louise C.; Buecker, Susanne; Kaiser, Till; Luhmann, Maike – International Journal of Behavioral Development, 2022
Prior research in non-U.S. samples has found a complex nonlinear relationship between loneliness and age. This research has shown that established predictors of loneliness--poor health, being unmarried, living alone, and having infrequent social interactions--help to explain age differences in loneliness. However, while some variables were found…
Descriptors: Psychological Patterns, Predictor Variables, Age Differences, Adults
Roberto A. Basurto – ProQuest LLC, 2023
The purpose of this study, through an analysis of the literature review of general scholars in the field of school poverty, equity, efficiency, and student achievement results, was to determine whether economic disparity had a direct statistical significance to student achievement gaps. Specifically, identification of the five socioeconomic tiers…
Descriptors: Socioeconomic Status, Predictor Variables, Academic Achievement, Poverty
Hou Xie; Kaylin Ratner; Suzanne G. Fegley; Michael J. Nakkula – Child Development, 2025
This study investigated the development of educational aspirations (EAs) among Chinese youth (n = 2228, 48.61% female, 87.66% Han, M[subscript age_2010] = 11.48 years) for 6 years. Five latent classes of EA trajectories were identified. They varied greatly during early adolescence but converged around an associate degree in middle adolescence and…
Descriptors: Adolescents, Academic Aspiration, Age Differences, Academic Achievement
Ikram Ullah; Wajid Khan – Journal of Academic Ethics, 2025
Pakistan's evolution into a research-centric nation, recognized by Clarivate Analytics, suggests a transition towards a knowledge-based economy. However, the prevalence of academic dishonesty within Pakistan's academic institutions raises concerns, potentially impeding the realization of its intellectual prowess. This research therefore examines…
Descriptors: Foreign Countries, Predictor Variables, Cheating, Plagiarism
Jinghui Zhao; Jiajia Gong; Jing Zhou; Xitong Ke; Yaqian Li; Minghui Lu – SAGE Open, 2025
In China, with the continuous advancement of urbanization, the size of the migrant population has significantly increased along with the challenging environments faced by them, drawing widespread societal attention to the parenting stress experienced by young children's migrant parents. However, research on the mechanisms underlying the factors…
Descriptors: Migrant Workers, Child Rearing, Stress Management, Preschool Children
Sharron Xuanren Wang; Jarid Goodman – Journal of American College Health, 2024
Objective: This study investigated rates and predictors of mental health issues (e.g., depression and anxiety) in a sample of college students currently attending a historically Black college/university (HBCU) during the COVID-19 pandemic. Participants/Methods: 98 undergraduate students (81 female and 17 male) completed an online survey containing…
Descriptors: Mental Health, Black Colleges, COVID-19, Pandemics
Zachary T. Barnes; Ashley A. Edwards; Susanne Strachota; Yi Feng; Jessica Logan – Infant and Child Development, 2024
A student's socioeconomic status (SES) has a significant relation to their academic achievement. Much of this work has explored this in math and reading, but less is known about how SES relates to science achievement, particularly in the early grades. Using quantile regression with nationally representative data, we explored this relation in…
Descriptors: Socioeconomic Status, Elementary School Science, Academic Achievement, Correlation
Abdul Karim; Thapanee Khemanuwong; Tanjila Ferdous; Tasnova Humaira; Shahin Sultana; Shaik Abdul Malik Mohamed Ismail – MEXTESOL Journal, 2024
The current study examines the role of gender, socioeconomic status, and region in predicting the reading comprehension of English as a Foreign Language (EFL) learners. Based on the relevant literature, three hypotheses have been formulated, which entail three independent variables (gender, socioeconomic status, and region) and the dependent…
Descriptors: Gender Differences, Socioeconomic Status, Geographic Regions, Reading Comprehension
Jane E. Hutchison; Bijan Tabrizian; Nina Bajnauth; Ander Avdellas; Deborah Phillips; Ian M. Lyons – Journal of Numerical Cognition, 2025
Math and executive functioning (EF) skills are thought to be tightly linked in early childhood. To facilitate our understanding of this link in early childhood, here we present a meta-analysis of over 1,000 different correlation values between EF and math measures in early childhood (4-6yrs). The overall average EF-Math relation was r = 0.350, 95%…
Descriptors: Meta Analysis, Executive Function, Mathematics Skills, Socioeconomic Status
Kursten Carlson – ProQuest LLC, 2023
This study is focused on seven states, Colorado, Delaware, Kansas, Minnesota, Washington, Washington D.C., and Wisconsin and the written special education complaints filed from July 1, 2014-June 30th, 2019. The problem addressed by this quantitative, correlational design study was the lack of information on the effects of multiple predictor…
Descriptors: Special Education, Predictor Variables, Compliance (Legal), Socioeconomic Status
Xin Liu; Kajsa Yang Hansen; Martin Valcke; Jan De Neve – ZDM: Mathematics Education, 2024
This study examines the relationship between instructional quality and mathematics achievement, taking into account socioeconomic status. Data from ten European countries participating in PISA 2012 and 2022 were analysed using the framework of the Dynamic Modelling of Educational Effectiveness. In PISA 2012, instructional quality was defined by…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students

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