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Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Gray, Shannon E.; Finch, Caroline F. – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of this study was to provide an epidemiological profile of injuries sustained by participants in fitness activities in Victoria, Australia, based on hospital admissions and emergency department (ED) presentations and to identify the most common types, causes, and sites of these injuries. Method: Hospital-treated fitness…
Descriptors: Epidemiology, Injuries, Medical Services, Hospitals
Center on Urban Poverty and Community Development (NJ1), 2010
There are no direct measures of adult literacy in Cuyahoga County. Instead, this report uses estimates based on a statistical model derived from the National Survey of Adult Literacy. Adult literacy levels range from Level 1 (the most basic) to Level 5 (the most complex). People with Level 1 literacy are at a severe disadvantage in the sense that…
Descriptors: Adult Literacy, Statistical Significance, Statistical Data, Educational Attainment
McCoach, D. Betsy – Gifted Child Quarterly, 2010
In education, most naturally occurring data are clustered within contexts. Students are clustered within classrooms, classrooms are clustered within schools, and schools are clustered within districts. When people are clustered within naturally occurring organizational units such as schools, classrooms, or districts, the responses of people from…
Descriptors: Regression (Statistics), Causal Models, Academically Gifted, Educational Research
Urbanski, Monika – Association for the Advancement of Sustainability in Higher Education, 2012
The Spring 2012 SQR: "Framing Campus Sustainability," features stories that frame the evolving concept of sustainability in higher education. Included in this issue are a snapshot of ratings-to-date, a focus on credits within the Operations (OP) category, and insights into how institutions are defining and interpreting the evolving…
Descriptors: Environmental Education, Sustainability, Campuses, Higher Education
Maguire, Kenneth J.; Starobin, Soko S.; Laanan, Frankie Santos; Friedel, Janice N. – Career and Technical Education Research, 2012
In this study specific factors were examined to determine their ability to influence fifth-year earnings of community college students in the Manufacturing/Science, Technology, Engineering and Math (STEM) career cluster and the Arts/Audiovisual/Technology/ Communication career cluster. State and national data sets from Iowa's Management…
Descriptors: Vocational Education, Community Colleges, College Students, Economic Status
Miron, Gary; Gulosino, Charisse – Commercialism in Education Research Unit, 2013
Annual "Profiles" reports are comprehensive digests of data on education management organizations. Analysis and interpretation of the data in this report are, for the most part, limited to describing general trends over time. The report is intended for a broad audience. Policymakers, educators, school district officials, and school board…
Descriptors: Profiles, Nonprofit Organizations, Private Agencies, Educational Administration
Office of Special Education and Rehabilitative Services, US Department of Education, 2010
The "29th Annual Report to Congress on the Implementation of the Individuals with Disabilities Education Act, 2007" follows the 2006--i.e., the 28th annual report--in sequence. The "29th Annual Report to Congress" is, however, the first to have three volumes. In the 28th and previous editions, volume 2 consisted of data tables…
Descriptors: Early Intervention, Disabilities, Special Education, Public Education

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