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Ford, Karen; Invernizzi, Marcia; Huang, Francis – Reading and Writing: An Interdisciplinary Journal, 2018
This study was designed to identify a continuum of orthographic features that characterize Spanish spelling development in Grades 1-3. Two research questions guided this work: (1) Is there a hierarchy of orthographic features that affect students' spelling accuracy in Spanish over and above other school-level, student-level, and word-level…
Descriptors: Orthographic Symbols, Difficulty Level, Spanish, Spelling
Mason, Cindi; Twomey, Janet; Wright, David; Whitman, Lawrence – Research in Higher Education, 2018
As the need for engineers continues to increase, a growing focus has been placed on recruiting students into the field of engineering and retaining the students who select engineering as their field of study. As a result of this concentration on student retention, numerous studies have been conducted to identify, understand, and confirm…
Descriptors: Student Attrition, Engineering, Probability, Comparative Analysis
Kunene, Niki; Toskin, Katarzyna – Information Systems Education Journal, 2022
Logistic regression (LoR) is a foundational supervised machine learning algorithm and yet, unlike linear regression, appears rarely taught early on, where analogy and proximity to linear regression would be an advantage. A random sample of 50 syllabi from undergraduate business statistics courses shows only two percent of the courses included LoR.…
Descriptors: Introductory Courses, Teaching Methods, Probability, Regression (Statistics)
Olmos, Antonio; Govindasamy, Priyalatha – Practical Assessment, Research & Evaluation, 2015
Propensity score weighting is one of the techniques used in controlling for selection biases in nonexperimental studies. Propensity scores can be used as weights to account for selection assignment differences between treatment and comparison groups. One of the advantages of this approach is that all the individuals in the study can be used for…
Descriptors: Probability, Regression (Statistics), Computer Software
Using Logistic Regression Model to Identify Student Characteristics to Tailor Graduation Initiatives
Chatterjee, Ayona; Marachi, Christine; Natekar, Shruti; Rai, Chinki; Yeung, Fanny – College Student Journal, 2018
Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…
Descriptors: Regression (Statistics), Student Characteristics, Graduation, Probability
Leech, Kathryn A.; Ratner, Nan Bernstein; Brown, Barbara; Weber, Christine M. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Childhood stuttering is common but is often outgrown. Children whose stuttering persists experience significant life impacts, calling for a better understanding of what factors may underlie eventual recovery. In previous research, language ability has been shown to differentiate children who stutter (CWS) from children who do not stutter,…
Descriptors: Stuttering, Children, Predictor Variables, Probability
Bender, Keith A.; Heywood, John S. – Education Economics, 2017
Using a panel data set of scientists in the US, we examine the hypothesis that workers in jobs poorly matched to their education are more likely to retire. In pooled estimates, we confirm that the mismatched are more likely to retire and that among retirees, the mismatched retire at younger ages. Hazard function estimates also support the…
Descriptors: Education Work Relationship, Scientists, Retirement, Hypothesis Testing
Agné, Hans; Mörkenstam, Ulf – Higher Education Research and Development, 2018
Whether supervision of doctoral students is best pursued individually or collectively is a recurring but unresolved question in debates on higher education. The rarity of longitudinal data and the common usage of qualitative methods to analyse a limited number of cases have left the effectiveness of either model largely untested. To assist with…
Descriptors: Foreign Countries, Graduate Students, Supervision, Doctoral Dissertations
Steiner, Peter M.; Kim, Yongnam; Hall, Courtney E.; Su, Dan – Sociological Methods & Research, 2017
Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand…
Descriptors: Graphs, Causal Models, Quasiexperimental Design, Randomized Controlled Trials
Hunter, Jennifer L.; Heath, Claudia J. – Journal of Financial Counseling and Planning, 2017
This article uses a random digit dial probability sample (N = 328) to examine the relationship between credit card use behaviors and household well-being during a period of severe economic recession: The Great Recession. The ability to measure the role of credit card use during a period of recession provides unique insights to the study of credit…
Descriptors: Credit (Finance), Consumer Economics, Well Being, Family (Sociological Unit)
Huang, Francis L. – Journal of Experimental Education, 2018
Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard errors, are comparable with each other. However, the accuracy of the estimates of OLS models is important to consider, as several alternative techniques…
Descriptors: Hierarchical Linear Modeling, Least Squares Statistics, Regression (Statistics), Comparative Analysis
Desjardins, Christopher David – Journal of Experimental Education, 2016
The purpose of this article is to develop a statistical model that best explains variability in the number of school days suspended. Number of school days suspended is a count variable that may be zero-inflated and overdispersed relative to a Poisson model. Four models were examined: Poisson, negative binomial, Poisson hurdle, and negative…
Descriptors: Suspension, Statistical Analysis, Models, Data
Kim, Yongnam; Steiner, Peter M.; Hall, Courtney E.; Su, Dan – Society for Research on Educational Effectiveness, 2016
Experimental and quasi-experimental designs play a central role in estimating cause-effect relationships in education, psychology, and many other fields of the social and behavioral sciences. This paper presents and discusses the causal graphs of experimental and quasi-experimental designs. For quasi-experimental designs the authors demonstrate…
Descriptors: Graphs, Quasiexperimental Design, Randomized Controlled Trials, Regression (Statistics)
Stevens, Jon Scott; Gleitman, Lila R.; Trueswell, John C.; Yang, Charles – Cognitive Science, 2017
We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed "Pursuit," uses an associative…
Descriptors: Semantics, Associative Learning, Probability, Computational Linguistics
Jenkins, Andrew – British Journal of Educational Studies, 2018
This paper investigates why people return to study in their 30s and beyond and upgrade to a higher level qualifications. Some previous research has argued that attitudes formed in childhood, via family background and schooling, continue to shape a person's engagement in learning throughout the adult lifecourse. Psychologists distinguish extrinsic…
Descriptors: Adults, Adult Learning, Adult Education, Higher Education

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