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Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
Jason A. Schoeneberger; Christopher Rhoads – American Journal of Evaluation, 2025
Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Multivariate Analysis
Aarnes Gudmestad; Thomas A. Metzger – Language Learning, 2025
In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step…
Descriptors: Second Language Learning, Spanish, Applied Linguistics, Predictor Variables
Kevin Ng – Education Economics, 2025
This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…
Descriptors: Identification, Teacher Effectiveness, Teacher Selection, Teacher Evaluation
Emily N. Cyr; Steven J. Spencer; Stephen C. Wright; Jennifer R. Steele; Kathryn M. Kroeper; Patricia Colaco; Tara C. Dennehy; Priscilla Lok-Chee Shum; Taylor Ballinger; Haemi Nam; Stephanie L. Reeves; Mary Wells; Toni Schmader; Hilary B. Bergsieker – Social Psychology of Education: An International Journal, 2025
Girls often express less interest in STEM (science, technology, engineering, mathematics) education and careers than boys, despite having comparable aptitude. We randomly assigned 242 girls (Mdn[subscript age] = 12 years; 38% East Asian; 37% White) at Canadian STEM camps to control conversations about generic camp experiences, or intervention…
Descriptors: Females, STEM Education, STEM Careers, Vocational Interests
Haowen Zheng; Siwei Cheng – Sociological Methods & Research, 2025
How well can individuals' parental background and previous life experiences predict their mid-life socioeconomic status (SES) attainment? This question is central to stratification research, as a strong power of earlier experiences in predicting later-life outcomes signals substantial intra- or intergenerational status persistence, or put simply,…
Descriptors: Socioeconomic Status, Adults, Parent Background, Social Stratification
Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
Mark Onslow; Brett Dyer; Mark Jones; Robyn Lowe; Sue O’Brian; Ross Menzies – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Stuttering is associated with clinically significant social anxiety, which emerges during early childhood for some, but not all, children who begin to stutter. The purpose of this review article is to develop a model of social anxiety development during early childhood stuttering and to present an empirical method by which it can be…
Descriptors: Anxiety Disorders, Interpersonal Competence, Child Development, Stuttering
Gülçin Zeybek – International Journal on Social and Education Sciences, 2025
The research model, which aims to determine the correlation between the level of teacher candidates taking teacher educators as role models in technology use and the level of technology acceptance and use and to what extent teacher candidates taking teacher educators as role models in technology use predicts technology acceptance and use, is a…
Descriptors: Foreign Countries, Technology Uses in Education, Preservice Teachers, Teacher Educators
Kelsey Medeiros; David H. Cropley; Rebecca L. Marrone; Roni Reiter-Palmon – Journal of Creative Behavior, 2025
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…
Descriptors: Man Machine Systems, Creativity, Artificial Intelligence, Models
Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
Gal Kaldes; Karyn Higgs; Jodi Lampi; Alecia Santuzzi; Stephen M. Tonks; Tenaha O'Reilly; John P. Sabatini; Joseph P. Magliano – Reading and Writing: An Interdisciplinary Journal, 2025
The current research used the Proficient Academic Reader (PAR) framework to explore whether reading strategies, task awareness, and motivation predicted college students' literacy skills over and above foundational skills (e.g., decoding, vocabulary). Specifically, the current research investigated the unique contribution of the PAR constructs to…
Descriptors: College Students, Student Motivation, Literacy, Reading Skills
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Sarah F. James; Christopher M. Estepp; Will Doss; Heather D. Young – Journal of Agricultural Education, 2025
School-based Agricultural Education has experienced a shortage of qualified teachers, and almost a quarter of agricultural education graduates do not teach upon graduating. To increase the number of qualified teachers entering the classroom, the reasons for this must be identified and addressed. A possible factor contributing to agricultural…
Descriptors: Agricultural Education, Cooperating Teachers, Mentors, Job Satisfaction
Zuhal Yöntem; Murat Agirkan – School Mental Health, 2025
This study aimed to examine the psychosocial predictors of peer bullying among middle school students. For this purpose, structural equation modeling (SEM), including peer bullying, school culture, parental rejection, basic psychological needs, and social emotional learning (SEL) skills, was tested. The data were collected from 565 middle school…
Descriptors: Bullying, Predictor Variables, Middle School Students, Social Emotional Learning

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