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Strukel, David; White, Linda; Alhabash, Saleem – Journal of Adult and Continuing Education, 2023
Nontraditional students pursuing an advanced degree face unique challenges as compared to full-time traditional students. Current and former masters and PhD students (N = 266) were surveyed to examine differences in their educational experiences and emotional outcomes, and determinants of their positive and negative graduate education experiences.…
Descriptors: Predictor Variables, Positive Attitudes, Negative Attitudes, Student Experience
Kaylynn Gunter – ProQuest LLC, 2023
Speech is highly variable and systematic, governed by the internal linguistic system and socio-indexical factors. The systematic relationship of socio-indexical factors and variable phonetic forms, referred to here as "socio-indexical structure," has been the cornerstone of sociophonetic research over the last several decades. Research…
Descriptors: Phonetics, Language Patterns, Language Processing, Speech Communication
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Cathrine Kazunga; Sarah Bansilal; Lytion Chiromo – African Journal of Research in Mathematics, Science and Technology Education, 2023
The development of statistical literacy has become a key outcome of mathematics curricula in various countries. The purpose of the study was to explore primary pre-service teachers' (PSTs') knowledge of aspects of measures of central tendency, which is a central concept in statistical literacy. The 183 PSTs' written responses to four tasks were…
Descriptors: Elementary School Teachers, Preservice Teachers, Teacher Education Programs, Pedagogical Content Knowledge
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Youmi Suk; Yongnam Kim – Society for Research on Educational Effectiveness, 2023
Background/Context: Observational studies often employ regression discontinuity (RD) designs and multiple control-group designs to explore the causal quantities of interest. RD designs assess policy and program effectiveness by assigning subjects to treatment based on whether they exceed a pre-defined cutoff. RD designs are classified into two…
Descriptors: Regression (Statistics), Research Design, Control Groups, Program Effectiveness
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Julie Neisler; Daniel Parker; Barbara Means – Society for Research on Educational Effectiveness, 2023
Nearly one million undergraduates take Introductory Statistics each year, and both the importance of statistics and viewpoints about how it should be taught have changed markedly over the last several decades (Guidelines for Assessment and Instruction in Statistics Education College Report, ASA Revision Committee, 2016). Modern introductory…
Descriptors: Undergraduate Students, Statistics Education, Statistical Bias, Ethics
David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Qinyun Lin; Amy K. Nuttall; Qian Zhang; Kenneth A. Frank – Grantee Submission, 2023
Empirical studies often demonstrate multiple causal mechanisms potentially involving simultaneous or causally related mediators. However, researchers often use simple mediation models to understand the processes because they do not or cannot measure other theoretically relevant mediators. In such cases, another potentially relevant but unobserved…
Descriptors: Causal Models, Mediation Theory, Error of Measurement, Statistical Inference
Josh Leung-Gagné; Sean F. Reardon – Grantee Submission, 2023
Recent studies have shown that U.S. Census-- and American Community Survey (ACS)--based estimates of income segregation are subject to upward finite sampling bias (Logan et al. 2018; Logan et al. 2020; Reardon et al. 2018). We identify two additional sources of bias that are larger and opposite in sign to finite sampling bias: measurement…
Descriptors: Income, Low Income Groups, Social Bias, Statistical Bias
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Mason A. Wirtz; Simone E. Pfenninger – Studies in Second Language Acquisition, 2023
This study is the first to investigate subject-level variability in sociolinguistic evaluative judgements by 30 adult L2 German learners and explore whether the observed variability is characterizable as a function of individual differences in proficiency, exposure, and motivation. Because group-level estimates did not paint an accurate picture of…
Descriptors: Individual Differences, German, Second Language Learning, Second Language Instruction
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Nicotera, Nicole; Park, In Young; Call, Jarrod; Steward, Andrew – Journal of Teaching in Social Work, 2023
There is an increasing concern for self-care and quality of life among Master of Social Work (MSW) students as they prepare to serve vulnerable individuals, families, and communities. Evidence suggests numerous benefits to practicing self-care; however, the majority of these studies focus on practitioners in the helping professions as opposed to…
Descriptors: Caring, Quality of Life, Graduate Students, Social Work
Eli Ben-Michael; Avi Feller; Erin Hartman – Grantee Submission, 2023
In the November 2016 U.S. presidential election, many state level public opinion polls, particularly in the Upper Midwest, incorrectly predicted the winning candidate. One leading explanation for this polling miss is that the precipitous decline in traditional polling response rates led to greater reliance on statistical methods to adjust for the…
Descriptors: Public Opinion, National Surveys, Elections, Political Campaigns
Xin Qiao; Akihito Kamata; Yusuf Kara; Cornelis Potgieter; Joseph Nese – Grantee Submission, 2023
In this article, the beta-binomial model for count data is proposed and demonstrated in terms of its application in the context of oral reading fluency (ORF) assessment, where the number of words read correctly (WRC) is of interest. Existing studies adopted the binomial model for count data in similar assessment scenarios. The beta-binomial model,…
Descriptors: Oral Reading, Reading Fluency, Bayesian Statistics, Markov Processes
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Jianyi Liu; Tengwen Fan; Yan Chen; Jingjing Zhao – npj Science of Learning, 2023
Statistical learning (SL) plays a key role in literacy acquisition. Studies have increasingly revealed the influence of distributional statistical properties of words on visual word processing, including the effects of word frequency (lexical level) and mappings between orthography, phonology, and semantics (sub-lexical level). However, there has…
Descriptors: Semantics, Brain Hemisphere Functions, Language Processing, Reading Processes
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Xiaoxiao Liu; Jiahua Liu; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Parental involvement is essential to children's learning engagement activities and academic performance. Much research revolves around the impact of parental involvement on students' academic performance or the relationship between student engagement and grades. However, few studies have used process data to examine the relationship between…
Descriptors: Parent Participation, Parent Child Relationship, Learner Engagement, Academic Achievement
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Ane Izagirre; Jon Anasagasti; Ainhoa Berciano – Statistics Education Research Journal, 2025
Probability literacy has gained importance in educational curricula. The aim of this research was to analyse secondary education teachers' attitudes towards probability and its teaching and to examine differences across the factors of gender, academic training, and work experience. From a positivist paradigm, a quantitative methodology was used.…
Descriptors: Secondary School Teachers, Teacher Attitudes, Mathematics Instruction, Probability
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