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Elgrishi, Noémie; Rountree, Kelley J.; McCarthy, Brian D.; Rountree, Eric S.; Eisenhart, Thomas T.; Dempsey, Jillian L. – Journal of Chemical Education, 2018
Despite the growing popularity of cyclic voltammetry, many students do not receive formalized training in this technique as part of their coursework. Confronted with self-instruction, students can be left wondering where to start. Here, a short introduction to cyclic voltammetry is provided to help the reader with data acquisition and…
Descriptors: Chemistry, Measurement, Data Collection, Data Interpretation
Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
In this article, we argue that big data can offer new opportunities and roles for educational researchers. In the traditional model of evidence-gathering and interpretation in education, researchers are independent observers, who pre-emptively create instruments of measurement, and insert these into the educational process in specialized times and…
Descriptors: Data Collection, Data Interpretation, Evidence, Educational Research

Hoover, Greg A. – Social Forces, 1989
Examines the comparability of various types of income inequality data used in cross-national research. Focuses on more stringent definition and measurement of income. Presents income distribution data (quintile distributions and Gini coefficients) for 61 nations that meet these stricter requirements. Contains 37 references. (SV)
Descriptors: Data Collection, Data Interpretation, Economic Research, Income

Guerrierie, Frank – Science Scope, 1996
Presents an interdisciplinary activity that combines math and science and enhances cooperative learning skills. Enables students to learn about the scientific method by designing an original research project, collecting and interpreting data, and drawing conclusions based on their research. (JRH)
Descriptors: Cooperative Learning, Data Collection, Data Interpretation, Interdisciplinary Approach

Palmer, Alfred C. – Science Teacher, 1986
Describes an activity for determining how long and when a tree lived by comparing its ring sizes with local precipitation records. Suggests benefits for this type of dendrochronology activity. (TW)
Descriptors: Climate, Data Analysis, Data Collection, Data Interpretation
North Central Regional Educational Lab., Naperville, IL. – 2002
This 20-minute videotape features 2 schools that have maintained a school culture based on using myriad data sources and processes to fuel their school-improvement activities. In the video the voices of teachers and administrators in each school articulate the ways they have used data to improve student achievement. They highlight numerous data…
Descriptors: Academic Achievement, Achievement Tests, Data Analysis, Data Collection