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Download full textAPPA: Association of Higher Education Facilities Officers, 2020
This paper features an expanded Web-based "Facilities Performance Indicators (FPI) Report." The purpose of APPA: Association of Higher Education Facilities Officers (APPA's) Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. The goal for this year was to…
Descriptors: Educational Facilities, Data Interpretation, Classification, Regional Characteristics
APPA: Association of Higher Education Facilities Officers, 2015
This paper features an expanded Web-based "Facilities Performance Indicators (FPI) Report." The purpose of APPA: Association of Higher Education Facilities Officers (APPA's) Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. "The Facilities Performance…
Descriptors: Educational Facilities, Data Interpretation, Classification, Regional Characteristics
Direct linkBoerema, Albert J. – Journal of School Choice, 2009
Using student achievement data from British Columbia, Canada, this study is an exploration of the differences that lie within the private school sector using hierarchical linear modeling to analyze the data. The analysis showed that when controlling for language, parents' level of educational attainment, and prior achievement, the private school…
Descriptors: Private Schools, School Choice, Foreign Countries, Comparative Analysis
Kano, Megumi; Franke, Todd; Afifi, Abdelmonem A.; Bourque, Linda B. – Educational Researcher, 2008
To ensure accurate interpretation of research findings, researchers should report details about their research design, data collection method, and response rates when presenting findings from survey research. A review of 100 peer-reviewed articles reporting the results of survey research on K-12 schools with principals as the designated…
Descriptors: Research Methodology, School Surveys, Mail Surveys, Case Studies
Peer reviewedWhiteley, Meredith A.; Stage, Frances K. – New Directions for Institutional Research, 1987
The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)
Descriptors: College Planning, Comparative Analysis, Data Interpretation, Higher Education
Lawton, Stephen B. – School Business Affairs, 2001
A data-management system adhering to seven principles (concerned with defining and measuring characteristics and their interrelationships) is feasible and exists in parts, if not as an integrated whole. Present data-collection and reportage systems lack the real-time, analytic longitudinal characteristics that contemporary technology promises and…
Descriptors: Administrative Problems, Data Analysis, Data Interpretation, Database Management Systems
Theobald, Rebecca – International Research in Geographical and Environmental Education, 2005
The influence of location as exemplified by neighbourhood factors and school characteristics on primary education is examined in the context of the school choice movement of the last two decades. The analysis incorporates statistical information about schools and population data from Census 2000 describing neighbourhoods and schools in one…
Descriptors: Primary Education, School Choice, Statistical Data, Socioeconomic Influences
