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A Multiple Regression Analysis of the Relationships Between Application Blank Data and Job Tenure

One technique being used to reduce employee turnover is the Weighted Application Blank. Data obtained from application blanks are analyzed and weights are assigned to each item. Utilizing these weights, predicted scores are derived and compared to each person's actual tenure to determine the effectiveness of the model. The present study analyzed application blank data from the files of 93 currently employed and 69 terminated female clerical workers. Twelve items were analyzed by means of a stepwise multiple linear regression procedure, with months of tenure being the dependent variable. The five most significant items yielded a multiple correlation of .54. The total sample also was divided randomly into two groups, and cross-group analyses resulted in simple correlations of .56 and .29.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc663497
Date08 1900
CreatorsNewton, Nancy W.
ContributorsJohnson, Douglas A., Peek, Leon A., Gabet, Yvonne H.
PublisherNorth Texas State University
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatiii, 29 leaves, Text
Coverage1953-1976
RightsPublic, Newton, Nancy W., Copyright, Copyright is held by the author, unless otherwise noted. All rights

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