A square root method of selecting a minimum set of variables in multiple regression: I. The method |
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Authors: | A Summerfield A Lubin |
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Institution: | (1) University College, London;(2) Institute of Psychiatry, Maudsley Hospital, USA |
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Abstract: | An extension of Dwyer's “square root” method has been made to the problem of selecting a minimum set of variables in a multiple
regression problem. The square root method of selection differs from the Wherry-Doolittle method primarily in that (1) the
computations required are more compact, (2) anF ratio criterion is used which leads to the selection of fewer variables. The method provides solutions for the problems of
test selection, item analysis, analysis of variance with disproportionate frequencies, and other problems requiring the rejection
of superfluous variables. In a subsequent article a worked example will be given, and the square root and Wherry-Doolittle
methods compared. |
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Keywords: | |
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