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Showing 1 to 15 of 22 results Save | Export
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
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Berzin, Stephanie Cosner; O'Brien, Kimberly H. McManama; Frey, Andy; Kelly, Michael S.; Alvarez, Michelle E.; Shaffer, Gary L. – Journal of School Health, 2011
Background: While school-based mental health professionals obviously must provide mental health services to students directly, the literature is increasingly identifying an empowerment role for these professionals, whereby they support teachers as primary service providers. The purpose of this study was to identify subtypes of school social…
Descriptors: Health Services, Health Needs, Mental Health Workers, Mental Health Programs
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Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses
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Browning, Christine A.; Channell, Dwayne E. – Arithmetic Teacher, 1992
Describes an activity that introduces students to the use of database software to collect and interpret data. Asks middle school students to collect personal information regarding their dominant hand, eye, and thumb. Students use FIND and AND commands to create tables and respond to questions related to the data. (MDH)
Descriptors: Computer Uses in Education, Courseware, Data Analysis, Data Collection
Lieshoff, Sylvia – 1993
This paper examines the use of environmental scanning for institutions of higher education to achieve the following objectives: (1) provide early warning of changes that will have an impact on education; (2) define potential threats and opportunities to the institution or department; (3) promote a future orientation in faculty; and (4) alert…
Descriptors: College Planning, Data Analysis, Data Collection, Environmental Scanning
Frymier, Jack; And Others – 1992
The Phi Delta Kappa Study of Students At Risk assessed who is at risk, what puts students at risk, what schools are doing to help those students, and how effective these efforts are. Data were provided on at-risk students in 85 U.S. and Canadian communities by teachers who knew each student best and had access to a student's school records. This…
Descriptors: Academic Failure, Case Studies, Disadvantaged Youth, Economically Disadvantaged
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Helft, B. Loerinc; Levine, Lawrence H. – Journal of Educational Technology Systems, 1986
This study tested 625 college students in an introductory computer course to determine their knowledge of common computer terms. Results indicate that a large proportion of the terms are used inconsistently, and not understood by either students or those who define them. Implications for teachers of computer courses are discussed. (MBR)
Descriptors: College Students, Computers, Correlation, Definitions
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Francisca, M.; And Others – Physics Education, 1986
Analyzes data presented in a recent article (EJ 328 649) examining the relationship between A-level physics and mathematics and degree performance in engineering or physics. A grade of A in A-level physics predicted first class degree performance. (JM)
Descriptors: College Science, Data Analysis, Engineering, Foreign Countries
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Garland, Kathleen; Rike, Galen E. – Journal of Education for Library and Information Science, 1987
This study examined the relationship between scholarly publication by faculty teaching in library and information science programs and 18 selected variables. Six variables were found to be predictors of faculty productivity: highest degree earned, size of faculty, years elapsed from bachelors's to highest degree, program type, prestige of program,…
Descriptors: Faculty Publishing, Higher Education, Information Science, Multiple Regression Analysis
Papalewis, Rosemary – 1990
This paper explores the common elements identified as context variables that may effect student evaluation of instruction, and presents literature from sociology, anthropology, and linguistics that offers renewed challenges to researchers in this area of data interpretation. The common context variables that are seen as effecting student…
Descriptors: Context Effect, Data Interpretation, Ethnic Bias, Higher Education
Davidson, Joseph O.; Mead, Linda – 1986
The development of a successful short-range forecasting model for predicting enrollment in a university intensive English course began with examination of the characteristics (nationality, enrollment patterns, persistence) of both course participants and no-shows; the resulting figures revealed consistent patterns for country of origin and for…
Descriptors: College Second Language Programs, English (Second Language), Enrollment Projections, Higher Education
MacMillan, Donald L. – 1991
This booklet addresses the difficulties of comparing and drawing meaning from dropout data prepared by different agencies, and examines the characteristics of students--and of schools--that place students at risk for leaving school prematurely. The booklet describes prevention programs and presents evidence on their effectiveness. It reviews…
Descriptors: Data Interpretation, Disabilities, Dropout Prevention, Dropout Rate
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Dowell, David R. – Journal of Academic Librarianship, 1988
Describes a study that used multiple regression analysis to examine whether the apparent influence of sex discrimination on librarians' salaries would be reduced if other factors were considered. The effects of education, employment level, and publications on librarian salaries are discussed, and three approaches to achieving comparable worth are…
Descriptors: Academic Libraries, Comparable Worth, Employment Level, Graduate Study
Peer reviewed Peer reviewed
Mead, Arthur C. – Journal of Economic Education, 1998
Describes class exercises where undergraduates construct and test mathematical models using data and issues related to social security. The students collect data and forecast economic and demographic variables that determine future tax rates. They then discuss government policies that are derived from their models. (MJP)
Descriptors: Cost Effectiveness, Data Analysis, Economics, Economics Education
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