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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
Nunn, Richard; Lain, Lindy – 1975
Empirical techniques are developed that may be used in conjunction with data stored in the Institutional Profile System to enhance present capabilities of assessing group structure in medical schools. Relevant literature is reviewed, and the institutionally descriptive data available for analysis and their manipulation into researchable formats…
Descriptors: Classification, Cluster Grouping, Factor Analysis, Higher Education
Dixon, Marlene A.; Cunningham, George B. – Measurement in Physical Education and Exercise Science, 2006
Understanding that the behavior of people takes place within a context, over the past 20 years research in education and the sport sciences has witnessed an increasing development of multilevel frameworks that are both conceptually and methodologically sound. Despite these advances, the use of multilevel models and research designs in education…
Descriptors: Physical Activities, Statistical Data, Statistical Studies, Statistical Analysis
Luan, Jing – Association for Institutional Research (NJ1), 2006
This exploratory data mining project used distance-based clustering algorithms to study three indicators of student behavioral data collectively called AB-Index, and established a typology of six types of learners for a suburban community college. The study is based on the notion that student behavioral data are a good basis for new ways of doing…
Descriptors: Information Retrieval, Student Behavior, Cluster Grouping, Course Selection (Students)
Powers, Donald E. – 1977
Factor analyses of two forms of the Graduate Record Examinations (GRE) Aptitude Test were undertaken to better understand the abilities affecting test performance. Results suggest that three global abilities--two verbal and one quantitative--are consistently tapped by the GRE Aptitude Test. Other less prominent dimensions--some of which appear to…
Descriptors: Academic Ability, Aptitude Tests, Cluster Grouping, College Entrance Examinations
Davis, Jo Ann – 1991
Consisting largely of 17 tables and 46 graphs, this document reports regional and subregional division characteristics of public elementary and secondary education (PESE) in 1988-89 in the United States; it also reports characteristics associated with the urbanicity, or most prevalent type of locale (TOL), and the relative wealth (RW) of states.…
Descriptors: Cluster Grouping, Elementary Secondary Education, Expenditures, Geographic Location
Sands, Billie Lou; Clausen, Dorothy Lee – 1974
The study of task identification in clothing, apparel, and textile services presents statistical correlations of task frequencies obtained by questionnaire in six task clusters for the occupations of fabric specialist, tailor, alternation specialist, dry cleaner, launderer, and clothing apparel and textile service occupations. One-way matrices…
Descriptors: Cluster Analysis, Cluster Grouping, Matrices, Needle Trades
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