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Peer reviewedChung, Chung-Sun – Journal of Chemical Education, 1985
Four cases which illustrate statistical factors in complexation reactions (where two of the reactants are monodentate ligands) are presented. Included are tables showing statistical factors for the reactions of: (1) square-planar complexes; (2) tetrahedral complexes; and (3) octahedral complexes. (JN)
Descriptors: Chemical Reactions, Chemistry, College Science, Higher Education
Peer reviewedCopeland, Thomas G. – Journal of Chemical Education, 1984
Nonlinear least squares computer programs are extremely valuable in fitting complicated equations to experimental data. They are easy to use and free students and teachers from the tedium of trying to derive linearized forms to complicated equations. The use of these programs (available for most medium/large scale computers) is discussed. (JN)
Descriptors: Chemistry, College Science, Computer Software, Higher Education
Peer reviewedMcKee, J. S. C.; And Others – Physics Education, 1975
Describes an attempt to plot the walking speeds of crowds as a Maxwellian velocity distribution in one dimension, analagous to an ideal gas approximation. (CP)
Descriptors: College Science, Higher Education, Hypothesis Testing, Instruction
Peer reviewedSmith, Mike U. – Journal of College Science Teaching, 1994
Identifies and explains some of the crucial elements of team research and data analysis, points out common pitfalls, and makes some helpful suggestions. Sections include general recommendations and communicating in statistical language. (ZWH)
Descriptors: Cooperative Planning, Data Analysis, Higher Education, Research
Peer reviewedMann, Charles C. – Science, 1994
Describes how the statistical technique of meta-analysis can be used to help resolve conflicting studies in social sciences. (ZWH)
Descriptors: Data Analysis, Educational Research, Higher Education, Meta Analysis
Peer reviewedGuell, Oscar A.; Holcombe, James A. – Analytical Chemistry, 1990
Described are analytical applications of the theory of random processes, in particular solutions obtained by using statistical procedures known as Monte Carlo techniques. Supercomputer simulations, sampling, integration, ensemble, annealing, and explicit simulation are discussed. (CW)
Descriptors: Chemical Analysis, Chemistry, College Science, Computer Simulation
Peer reviewedHinds, David S.; Amundson, John C. – American Biology Teacher, 1975
Describes laboratory exercises with chickens selecting their food from dyed and natural corn kernels as a method of demonstrating natural selection. The procedure is based on the fact that organisms that blend into their surroundings escape predation. (BR)
Descriptors: Biology, College Science, Instruction, Instructional Materials
Peer reviewedFreeland, P. W. – Journal of Biological Education, 1975
Describes a project in which fingerprint patterns were identified and analyzed to determine whether any positive relationship existed between pattern type and academic ability. (LS)
Descriptors: Academic Achievement, Biology, Genetics, Instruction
Shymansky, James A.; And Others – 1987
A meta-analysis of studies of the impact of new science curricula on the performance of students was initially conducted in 1983 as part of a coordinated program of meta-analysis of research on science education. This paper reports the results of a re-synthesis of the research dealing with student performance in the new science curriculum using…
Descriptors: Academic Achievement, Instructional Improvement, Meta Analysis, Research Methodology
Peer reviewedBodner, George M. – Journal of Chemical Education, 1980
Presented are common words and phrases which are encountered in the statistical analysis of test results. Included are analysis of the mid-point, distribution of scores, calculation of scaled scores, test reliability, item analysis, and coefficients of reliability. (CS)
Descriptors: College Science, Definitions, Evaluation Methods, Higher Education
Peer reviewedStrange, Ronald S. – Journal of Chemical Education, 1990
Reviewed are the basic concepts of experimental design, analysis of data, and optimization. Discussed are two-level factorial designs; fractional factorial designs and blocking, additive, linear, and quadratic models; quadratic and composite designs; and designing experiments in design. (CW)
Descriptors: Chemistry, College Science, Higher Education, Laboratory Procedures
Hedges, Larry V.; And Others – 1989
Methods for meta-analysis have evolved dramatically since Gene Glass first proposed the term in 1976. Since that time statistical and nonstatistical aspects of methodology for meta-analysis have been developing at a steady pace. This guide is an attempt to provide a practical introduction to rigorous procedures in the meta-analysis of social…
Descriptors: Comparative Analysis, Effect Size, Higher Education, Meta Analysis
Peer reviewedCothron, Julie H.; And Others – American Biology Teacher, 1989
Described are teaching methods used to teach measures of central tendency to middle and high school students. Discussed are quantitative and qualitative data, basic experimental terms, a general overview of data analysis, data charts for quantitative data, qualitative data analysis, and extensions for older students. (CW)
Descriptors: Biological Sciences, Biology, Laboratory Procedures, Science Activities
Peer reviewedKochendorfer, Leonard – American Biology Teacher, 1994
Offers teachers a useful alternative to research methods of the natural science. Using an example of teacher-based action research in the classroom, the author helps to describe the purpose and most efficient execution of this method of research. Also discussed is the issue of validity and reliability. (ZWH)
Descriptors: Biology, Classroom Research, Instructional Improvement, Researchers
Peer reviewedGunther, L.; Weaver, D. L. – American Journal of Physics, 1978
A model of Brownian motion is discussed which includes viscosity effects. The model lends itself to Monte Carlo simulation and thus is suitable for an elementary physics laboratory experiment. (BB)
Descriptors: College Science, Higher Education, Laboratory Experiments, Mathematical Models


