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Monica Rogers – ProQuest LLC, 2022
Data visualization literacy can be defined as "the ability and skill to read and interpret visually represented data in and to extract information from data visualizations" (Lee, et al., 2017, p.552). Within the information science profession, data visualization literacy is an emerging and increasingly important competency within the…
Descriptors: Visual Aids, Information Literacy, Visual Literacy, Library Education
Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
An, Sunghee; Roessler, Richard T.; McMahon, Brian T. – Rehabilitation Counseling Bulletin, 2011
This study reports findings from an analysis of employment allegations and resolutions maintained in the U.S. Equal Employment Opportunity Commission (EEOC) database. Spanning the years 1992 to 2005, the data were aggregated for individuals with psychiatric disabilities and individuals with a variety of physical, sensory, and neurological…
Descriptors: Comparative Analysis, Work Environment, Psychiatry, Disability Discrimination
OECD Publishing (NJ1), 2012
In most PISA-participating countries and economies, the average socio-economic background of students who attend privately managed schools is more advantaged than that of those who attend public schools. Yet in some countries, there is little difference in the socio-economic profiles between public and private schools. Why? An analysis of PISA…
Descriptors: Private Schools, Academic Achievement, Profiles, Public Schools
Loveless, Tom – Brookings Institution, 2010
This year's Brown Center Report contains studies taking a long view. Part I examines national test data going back to 1971 from the National Assessment of Educational Progress (NAEP). The study in Part II compares the 1989 test scores of more than 1,000 schools to the same schools' scores in 2009. Part III compares the test scores of conversion…
Descriptors: Charter Schools, Academic Achievement, National Competency Tests, Comparative Analysis
Boerema, 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

Whiteley, 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
Marzano, Robert J.; Haystead, Mark W. – Marzano Research Laboratory, 2010
During the 2009-2010 school year, Marzano Research Laboratory (MRL) was commissioned by Promethean Ltd. to conduct a second year evaluation study of the effects of Promethean ActivClassroom on student academic achievement. This report describes the findings from the second year study along with aggregate findings from the first and second year…
Descriptors: Academic Achievement, Action Research, Research Reports, Program Evaluation

Brinkman, Paul T.; Teeter, Deborah J. – New Directions for Institutional Research, 1987
Institutional comparison groups can be selected in several ways, depending on the comparison issue. The method chosen involves both technical and political considerations. (Author/MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Higher Education

Christal, Melodie E.; Wittstruck, John R. – New Directions for Institutional Research, 1987
Data on which to base interinstitutional comparisons can be obtained directly from institutions or from a variety of secondary and tertiary sources such as national surveys, statistical publications, newsletters, directories, and organizations. Lists of these sources are included. (MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Data Interpretation