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Predicting Work Release Performance For Federal Inmates
Author(s) -
LEVISON ROBERT L.,
EASTERLING ROSS E.
Publication year - 1974
Publication title -
journal of employment counseling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 27
eISSN - 2161-1920
pISSN - 0022-0787
DOI - 10.1002/j.2161-1920.1974.tb00335.x
Subject(s) - minnesota multiphasic personality inventory , psychology , linear regression , work (physics) , regression analysis , wage , scale (ratio) , sentence , regression , econometrics , social psychology , clinical psychology , statistics , personality , mathematics , labour economics , computer science , economics , psychotherapist , artificial intelligence , mechanical engineering , physics , quantum mechanics , engineering
The problem was to determine the ability of 29 selected independent variables to predict work release performance. An analysis of the data via multiple linear regression showed that the MMPI‐Pd Scale, longest time one job, GATB‐V, age first arrested, wage on work release, longest prior sentence, number times arrested, and age at present provided a significant combination of predictors, with a multiple R of .63.