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Shukla, Shyam S.; Rusling, James F. – Analytical Chemistry, 1984
Discusses how computational errors arise in analysis of data and how they can be minimized. Shows that all computations are subject to roundoff/truncation errors and how such errors are propagated and influence the stability and condition of a reaction. Applications to procedures used in analytical chemistry are addressed. (JN)
Descriptors: Chemical Analysis, Chemistry, College Science, Computation
Christensen, Rhonda; Knezek, Gerald – Computers in the Schools, 2002
Ten years of instrument development are summarized and placed within a framework for assessing the impact of technology in education. Seven well-validated instruments spanning the areas of attitudes, beliefs, skills, competencies, and technology integration proficiencies are presented, along with data analysis examples. These instruments are…
Descriptors: Data Analysis, Technology Integration, Educational Technology, Instrumentation