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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
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
Choy, Sarojni – Electronic Journal of e-Learning, 2007
In 2004 the Australian Flexible Learning Framework developed a suite of quantitative and qualitative indicators on the uptake, use and impact of e-learning in the Vocational Education and Training (VET) sector. These indicators were used to design items for a survey to gather quantitative data for benchmarking. A series of four surveys gathered…
Descriptors: Foreign Countries, Educational Benefits, Electronic Learning, Benchmarking
Mathematica Policy Research, Washington, DC. – 1979
The purpose of this planning study about crafts in the United States is to provide preliminary data and information prior to a national crafts' survey by the National Endowment of the Arts. This study reports on: (1) the preparation of a systematic classification of U.S. crafts; (2) attempts to group and classify crafts people and their…
Descriptors: Classification, Craft Workers, Data Collection, Data Interpretation

Ysseldyke, Jim; Bielinski, John – Exceptional Children, 2002
A study compared the effects of different methods of analyzing trends to illustrate how failure to account for change in classification will lead to misinterpretation of data on the performance of students with disabilities. Data from five years of assessment in Texas is used to illustrate effects of classification changes. (Contains references.)…
Descriptors: Academic Achievement, Accountability, Classification, Data Collection
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