Abstract
Statistical techniques are used for describing and finding relationships among variables, as we discussed in Chapters 6 and 7. They are also used to detect differences among groups. The latter are most frequently used for data analysis in experimental and quasi-experimental research. They enable us to evaluate the effects of an independent [cause or treatment or categorical variables (gender, age, race, etc.)] variable on a dependent variable (effect, outcome).
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Koh, E.T., Owen, W.L. (2000). Differences Among Groups. In: Introduction to Nutrition and Health Research. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1401-5_8
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DOI: https://doi.org/10.1007/978-1-4615-1401-5_8
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