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Julia-Kim Walther; Martin Hecht; Benjamin Nagengast; Steffen Zitzmann – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect these approaches to perform similarly. However, the two data formats yield data matrices with different numbers of columns and rows, and their "cols :…
Descriptors: Data, Monte Carlo Methods, Statistical Distributions, Matrices
Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
O'Dwyer, Laura M.; Parker, Caroline E. – Regional Educational Laboratory Northeast & Islands, 2014
Analyzing data that possess some form of nesting is often challenging for applied researchers or district staff who are involved in or in charge of conducting data analyses. This report provides a description of the challenges for analyzing nested data and provides a primer of how multilevel regression modeling may be used to resolve these…
Descriptors: Multiple Regression Analysis, Statistical Analysis, Data, Models
Chatterjee, Samprit; Hadi, Ali S. – John Wiley & Sons, Inc, 2012
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fifth Edition" has been expanded and thoroughly…
Descriptors: Regression (Statistics), Data Analysis, Statistical Analysis, Models
Copp, Derek T. – Education Policy Analysis Archives, 2016
In the quest to improve measured educational outcomes national governments across the The Organisation for Economic Co-operation and Development (OECD) and beyond have instituted large-scale assessment (LSA) policies in their public schools. Controversy almost universally follows the implementation of such testing, related to such topics as: a)…
Descriptors: Teacher Attitudes, Beliefs, Instructional Improvement, Information Utilization
Welsch, David M.; Zimmer, David M. – Education Finance and Policy, 2015
This paper draws attention to a subtle, but concerning, empirical challenge common in panel data models that seek to estimate the relationship between student transfers and district academic performance. Specifically, if such models have a dynamic element, and if the estimator controls for unobserved traits by including district-level effects,…
Descriptors: Transfer Students, Academic Achievement, Feedback (Response), School Districts
Preacher, Kristopher J.; Zhang, Zhen; Zyphur, Michael J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Multilevel modeling (MLM) is a popular way of assessing mediation effects with clustered data. Two important limitations of this approach have been identified in prior research and a theoretical rationale has been provided for why multilevel structural equation modeling (MSEM) should be preferred. However, to date, no empirical evidence of MSEM's…
Descriptors: Data, Structural Equation Models, Statistical Analysis, Computation
Lichtenberger, Eric; Witt, M. Allison; Blankenberger, Bob; Franklin, Doug – Community College Journal of Research and Practice, 2014
The use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics…
Descriptors: Dual Enrollment, College Credits, Community Colleges, Statistical Analysis
Heo, Misook; Song, Jung-Sook; Seol, Moon-Won – Journal of Educational Research, 2013
The authors examined the needs of digital information service web portal users. More specifically, the needs of Korean cultural portal users were examined as a case study. The conceptual framework of a web-based portal is that it is a complex, web-based service application with characteristics of information systems and service agents. In…
Descriptors: Foreign Countries, Factor Analysis, Models, Predictor Variables
Wolfe, Linda C. – ProQuest LLC, 2013
This paper presents findings from a quantitative, correlational study that examined selected school nursing services, student academic outcomes, and school demographics. Ex post facto data from the 2011-2012 school year of Delaware public schools were used in the research. The selected variables were school nurse interventions provided to students…
Descriptors: School Nurses, Child Health, Intervention, Academic Achievement
Roark, Ian R. – ProQuest LLC, 2013
The purpose of this study was to gauge the impact of mandatory student success courses on community college student persistence at Hispanic-Serving Institutions. The subsequent analysis was conducted in the context of data-driven decision making and student persistence leadership, where student and campus level data can be used by community…
Descriptors: Academic Persistence, Community Colleges, Required Courses, Two Year Colleges
Filsinger, Lora C. – ProQuest LLC, 2012
As schools and school districts continue to face budget reductions, school officials must thoroughly evaluate and determine from which programs to decrease funding. Athletic programs are one area that has received much scrutiny for receiving these cuts. If research reveals a significant relationship between athletic involvement and academic…
Descriptors: Academic Achievement, Grade Point Average, Program Effectiveness, Statistical Analysis
Conrad, Jill K. – ProQuest LLC, 2013
This dissertation examines the levels of and relationships between technical leadership, adaptive leadership, and defined autonomy among Denver school leaders along with their combined effects on school growth gains over time. Thirty principals provided complete responses to an online survey that included existing scales for technical leadership,…
Descriptors: Urban Schools, Educational Improvement, School Turnaround, Professional Autonomy
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