Teaching How to Derive Directly Interpretable Coding Schemes for Multiple Regression Analysis
1985 ◽
Vol 10
(3)
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pp. 223-238
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Keyword(s):
A Priori
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Multiple linear regression is a versatile model for encompassing analysis of variance, analysis of covariance, and aptitude-by-treatment interaction designs. The question of how to teach the coding of levels of a qualitative variable is addressed in this paper. Although a variety of coding schemes will produce invariant omnibus statistical results for a given set of data, one’s interpretation of treatment effects and treatment differences depends on the particular code values chosen. A general procedure is presented that allows the user to generate, on an a priori basis, code values that result in directly interpretable estimates of interest.
2019 ◽
Vol 2
(2)
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pp. 103
1996 ◽
Vol 321
(2-3)
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pp. 127-135
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2017 ◽
Vol 44
(4)
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pp. 1537-1544
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2017 ◽
Vol 27
(5)
◽
pp. 528-533
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2020 ◽
Vol 1
(02)
◽
pp. 133-140
2018 ◽
Vol 5
(1)
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pp. 4370-4378
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