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Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
Humphrey, Pamela A. – ProQuest LLC, 2010
The purpose of this study is to explore and describe the process of alliance creation and maintenance between U.S. institutions of higher education and enterprises in Hong Kong. The methodology is a qualitative case study in which administrators from U.S. universities offering programs in Hong Kong and administrators from organizations in Hong…
Descriptors: Colleges, Foreign Countries, Data Analysis, Content Analysis
Undergraduate Non-Science Majors' Descriptions and Interpretations of Scientific Data Visualizations
Swenson, Sandra Signe – ProQuest LLC, 2010
Professionally developed and freely accessible through the Internet, scientific data maps have great potential for teaching and learning with data in the science classroom. Solving problems or developing ideas while using data maps of Earth phenomena in the science classroom may help students to understand the nature and process of science. Little…
Descriptors: Majors (Students), Public Colleges, Maps, Internet

Anfara, Vincent A., Jr.; Brown, Kathleen M.; Mangione, Terri L. – Educational Researcher, 2002
Notes the need for researcher accountability in qualitative analysis, examining strategies used in working with doctoral students and offering suggestions for assessing and publicly disclosing the methodological rigor and analytical defensibility of qualitative research. Introduces tabular strategies for use in documenting the relationship between…
Descriptors: Accountability, Classification, Data Interpretation, Doctoral Degrees
Hunt, E. Stephen – 1993
The International Standard Classification of Education (ISCED) was developed by the United Nations Educational, Scientific, and Cultural Organization in the 1960s and 1970s to be the recognized international standard for reporting and interpreting education program data. Creating a U.S. crosswalk to this system has been a goal of research…
Descriptors: Academic Standards, Classification, Comparative Analysis, Data Interpretation

Chwalisz, Kathleen; And Others – Journal of Counseling Psychology, 1996
Identifies cognitive strategies used during the categorization of qualitative data and investigates how various factors may be related to the testimonial validity of the categories. Essay writers ranked sets of categories in terms of overall quality and rated them while thinking aloud. Think-aloud protocols for the "best" and…
Descriptors: Classification, Cognitive Structures, College Students, Data Interpretation
Fisher, Mark A. – 1992
A model of graph comprehension is proposed including perceptual and memory processes. Multidimensional scaling (MDS), cluster analysis, and analysis of variance (ANOVA) were used to determine how college students with different mathematical experience read different types of bar graphs. Data were collected at the University of Oklahoma (Norman)…
Descriptors: Analysis of Variance, Classification, Cluster Analysis, College Students
Newman, Isadore; MacDonald, Suzanne – 1993
The methodology of interpretation of qualitative data was explored using a grounded theory approach to the synthesis of data, examining the construction of categories in particular. The focus is on ways of organizing data and attaching meaning, as research problems embedded in cultural context are explored. A qualitative research training task…
Descriptors: Classification, Comics (Publications), Cultural Context, Data Interpretation
Holmes, Brian – Prospects: Quarterly Review of Education, 1985
Trends in comparative education are analyzed in terms of attempts to collect and classify data more systematically and in terms of the contribution comparative education can make to understanding educational change. The growth in comparative education literature and the work of some non-governmental agencies are also discussed. (RM)
Descriptors: Classification, Comparative Education, Data Collection, Data Interpretation