Premium
NUMBER AND SPECIFICITY OF PERFORMANCE OUTCOMES IN THE PREDICTION OF ATTITUDES AND BEHAVIORAL INTENTIONS
Author(s) -
SHIFLETT SAMUEL,
COHEN STANLEY L.
Publication year - 1980
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.1980.tb02168.x
Subject(s) - psychology , outcome (game theory) , predictability , dimension (graph theory) , set (abstract data type) , scale (ratio) , social psychology , clinical psychology , statistics , mathematics , computer science , physics , mathematical economics , quantum mechanics , pure mathematics , programming language
The problem of how many performance outcomes to use and how specific they should be in predicting satisfaction and behavioral intentions was addressed. 323 soldiers responded to a desirability and instrumentality scale for each of 16 potential outcomes obtainable from outstanding performance. Scores were factor analysed and composites were formed to reflect each dimension. Three criteria (satisfaction, perceived effort and intention to reenlist) were predicted using (a) all 16 outcome items, (b) only 11 items defining four outcome dimensions and (c) 4 items only, each item reflecting an outcome dimension. In all cases, the 11‐item set was a better predictor than the 16‐item set, and the 4‐item set was nearly as effective as the 16‐item set. Instrumentalities were found to be significantly better predictors of satisfaction than of effort, while the reverse was true of valences. It was suggested that adequacy of coverage of the out come domain rather than list length or outcome specificity, was the critical issue in improving predictability.