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Amaliah, Dewi; Cook, Dianne; Tanaka, Emi; Hyde, Kate; Tierney, Nicholas – Journal of Statistics and Data Science Education, 2022
Textbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to use contemporary data for teaching, to imbue the sense…
Descriptors: Statistics Education, Data Science, Textbooks, Data Analysis
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Serang, Sarfaraz – New Directions for Child and Adolescent Development, 2021
Longitudinal research is often interested in identifying correlates of heterogeneity in change. This paper compares three approaches for doing so: the mixed-effects model (latent growth curve model), the growth mixture model, and structural equation model trees. Each method is described, with special focus given to how each structures…
Descriptors: Longitudinal Studies, National Surveys, Growth Models, Structural Equation Models
Gage, Nicholas A.; Katsiyannis, Antonis; Carrero, Kelly M.; Miller, Rhonda; Pico, Danielle – Behavioral Disorders, 2021
The Latinx population is the largest group of racially and ethnically diverse students in the United States. Although disproportionality in school discipline has been documented for Latinx students, findings related to such disparities have been inconsistent. We examined disciplinary exclusion practices involving students with and without…
Descriptors: Disproportionate Representation, Discipline, Hispanic American Students, Students with Disabilities
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Soland, James – Research & Practice in Assessment, 2017
Research shows college readiness can be predicted using a variety of measures, including test scores, grades, course-taking patterns, noncognitive instruments, and surveys of how well students understand the college admissions process. However, few studies provide guidance on how educators can prioritize predictors of college readiness across…
Descriptors: College Readiness, Predictor Variables, Data Analysis, Measures (Individuals)
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Yu, Hongwei; Glanzer, Perry L.; Johnson, Byron R.; Sriram, Rishi; Moore, Brandon – Review of Higher Education, 2018
Though numerous studies have identified factors associated with academic misconduct, few have proposed conceptual models that could make sense of multiple factors. In this study, we used structural equation modeling (SEM) to test a conceptual model of five factors using data from a relatively large sample of 2,503 college students. The results…
Descriptors: College Students, Cheating, Structural Equation Models, Data Analysis
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D'Amico, Mark M.; Morgan, Grant B.; Katsinas, Stephen G.; Adair, J. Lucas; Miller, Michael T. – Community College Journal of Research and Practice, 2017
Noncredit community college enrollment accounts for approximately 40% of all enrollment in the two-year sector, or five million students (American Association of Community Colleges, 2016). Yet, this population is seldom discussed in the higher education literature due to inconsistent definitions, funding, and data reporting at the state level.…
Descriptors: Community Colleges, Noncredit Courses, Enrollment Trends, Funding Formulas
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Garvey, Jason C.; Hart, Jeni; Metcalfe, Amy Scott; Fellabaum-Toston, Jennifer – Review of Higher Education, 2019
We examine the American landscape of higher education quantitative research concerning how gender and sex demographic information is collected. We use a directed content analysis to examine the prevalence and operationalization of gender and sex among widely used higher education survey instruments. Our findings illuminate a seemingly haphazard…
Descriptors: Research Problems, Educational Research, Higher Education, Data Collection
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Zilvinskis, John – Journal of Postsecondary Education and Disability, 2020
Each year hundreds of institutions will administer national surveys to measure the engagement of their students. However, stakeholders on college campuses, such as educators (faculty, instructors, student affairs educators, and disability services administrators) and institutional research staff who work with this information are often unaware of…
Descriptors: Students with Disabilities, Data Collection, Data Use, Student Needs
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Allen, Rebecca; Higham, Rob – London Review of Education, 2018
The opening of new state schools by non-state actors has intensified debates about social selection and inequality in quasi-markets. This article examines the case of England, where the government allows anyone to apply to open a new 'free school', arguing this will improve social equity. Using data from the National Pupil Database for all 325…
Descriptors: Foreign Countries, Free Schools, Neighborhoods, Student Recruitment
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Boyce, Jared; Bowers, Alex J. – Journal of Educational Administration, 2018
Purpose: Instructional leadership has been an active area of educational administration research over the past 30 years. However, there has been significant divergence in how instructional leadership has been conceptualized over time. The purpose of this paper is to present a comprehensive review of 25 years of quantitative instructional…
Descriptors: Instructional Leadership, Educational Research, Meta Analysis, National Surveys
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Wasburn-Moses, Leah – School-University Partnerships, 2017
Teacher Residencies have been highly touted as the next generation in teacher preparation, because they are applied programs that are predicated on strong partnerships and in-the-field mentoring. However, very little is known about this model as a whole. The goal of the current study is to report on the scope of teacher residencies, and compare…
Descriptors: Preservice Teacher Education, National Surveys, Definitions, Data Analysis
Brummet, Quentin; Gershenson, Seth; Hayes, Michael S. – Educational Policy, 2017
Teacher churning likely harms student achievement. However, the phenomenon of within-school grade-level teacher reassignments is understudied. The current study provides descriptive evidence on the frequency and predictors of within-school teacher grade switching using both longitudinal administrative data from Michigan and nationally…
Descriptors: Longitudinal Studies, State Surveys, National Surveys, Data Analysis
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Baker, J. Scott – Journal of Curriculum and Pedagogy, 2017
In the fall of 2015, the author conducted a national survey of over 1,000 former high school speech and debate competitors. As he told a colleague, he was drowning in data. It was a good problem to have, but he was not sure how to thoroughly examine the heart of data; how would he make meaning of their experiences? Then, he realized, the answer…
Descriptors: High School Students, Alumni, Public Speaking, Debate
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Rahn, Rhonda N.; Pruitt, Buster; Goodson, Patricia – Journal of American College Health, 2016
Objective: To analyze the literature in which researchers have utilized the National College Health Assessment (NCHA) I or the NCHA II. Participants and Methods: The authors selected peer-reviewed articles published between 2004 and July 2013 utilizing a single search term: National College Health Assessment. Articles were assessed for instrument…
Descriptors: Literature Reviews, College Students, Health, National Surveys
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Evans, Brent J.; Nguyen, Tuan D.; Tener, Brent B.; Thomas, Chanell L. – Journal of Student Financial Aid, 2017
In examining national data on Federal Pell Grant eligibility in the National Postsecondary Student Aid Study (NPSAS), we were puzzled to discover that many students who appear to have eligible Expected Family Contributions (EFCs) do not receive the award. We use institutional data from a large public university to understand and enumerate changes…
Descriptors: Federal Aid, Grants, Student Financial Aid, Eligibility
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