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Clifford, Richard M.; Yazejian, Noreen; Jang, Wonkyung; Jigjidsuren, Dari – Teachers College Press, 2021
Early childhood is a crucial stage in a child's life, and aspects of the environment in the physical, social-emotional, cognitive, and health and safety domains all play important roles in shaping children's development during these early years. Having a valid and reliable measure of the quality of these aspects of children's care settings is…
Descriptors: Early Childhood Education, Data Analysis, Data Interpretation, Educational Quality
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data 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

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
Clagett, Craig A. – 1990
Guidelines are offered to institutional researchers and planning analysts for presenting research results in formats and levels of sophistication that are accessible to top management. Fundamental principles include: (1) know what is needed; (2) know when the information is needed; (3) match format to analytical sophistication and learning…
Descriptors: Communication (Thought Transfer), Data Interpretation, Higher Education, Information Dissemination
Brazziel, William F. – 1988
This paper examines the changing demographics of American society and the impact of these changes on higher education. Discussions include a historical background of early American demography, the building and expansion of the population base, and census changes through various generations of the baby boom years and beyond. Next, the report…
Descriptors: Adult Education, Baby Boomers, Birth Rate, Census Figures
Sabar, N.; And Others – 1987
This summary describes the results of a survey that served as a needs assessment, preceding the development of a curriculum for both Arab and Jewish elementary schools in Israel. The curriculum's goals were to educate children to create interethnic contacts on a basis of mutual equality and respect for each other and their cultures. Previous…
Descriptors: Arabs, Attitude Change, Attitude Measures, Attitudes
Starr, Harold – 1987
This guide is intended for local- and state-level vocational education administrators, planners, and evaluators who are responsible for making program planning and evaluation findings and decisions geared toward increasing program relevance. The method differs from more traditional approaches in its heavy reliance upon the selection and…
Descriptors: Computer Oriented Programs, Data Analysis, Data Interpretation, Databases
Middaugh, Michael F.; And Others – 1994
This book provides conceptual and practical strategies for the data and information collection and analysis needs of a diverse group of institutions, ranging from small rural community colleges to large urban research institutions. The model framework is designed for use by any size or type of institution and gives a broad overview of various…
Descriptors: Audits (Verification), Colleges, Data Analysis, Data Collection