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Direct linkSandusky, Peter Olaf – Journal of Chemical Education, 2017
Metabolomics applies multivariate statistical analysis to sets of high-resolution spectra taken over a population of biologically derived samples. The objective is to distinguish subpopulations within the overall sample population, and possibly also to identify biomarkers. While metabolomics has become part of the standard analytical toolbox in…
Descriptors: Undergraduate Students, Multivariate Analysis, Statistical Analysis, Chemistry
Heng, Chua Kah; Karpudewan, Mageswary – EURASIA Journal of Mathematics, Science & Technology Education, 2015
This quantitative study reports the effects of gender and grade level on secondary students' attitude towards chemistry lessons. For this purpose, the Attitude towards Chemistry Lessons Scale (ATCLS) was administered to 446 secondary school students between 16-19 years old. The ATCLS consists of four different subscales: liking for chemistry…
Descriptors: Secondary School Students, Gender Differences, Cohort Analysis, Chemistry
Pezzolo, Alessandra De Lorenzi – Journal of Chemical Education, 2011
The diffuse reflectance infrared Fourier transform (DRIFT) spectra of sand samples exhibit features reflecting their composition. Basic multivariate analysis (MVA) can be used to effectively sort subsets of homogeneous specimens collected from nearby locations, as well as pointing out similarities in composition among sands of different origins.…
Descriptors: Graduate Students, Undergraduate Students, Spectroscopy, Multivariate Analysis
