Job Performance Measurement Classification Scheme for Validation Research in the Military.

Author(s):  
Michael J. Kavanagh ◽  
Walter C. Borman ◽  
Jerry W. Hedge ◽  
R. B. Gould
Author(s):  
Ned Kock

Among latent variables that can be used in e-collaboration research, job performance is a particularly important one. It measures what most e-collaboration tools in organizations aim to improve, namely the performance at work of individuals executing tasks collaboratively with others. The authors report on a comparative assessment of scores generated based on a self-reported job performance measurement instrument vis-à-vis official annual performance evaluation scores produced by supervisors. The results suggest that the self-reported measurement instrument not only presents good validity, good reliability and low collinearity; but that it may well be a better way of measuring job performance than supervisor scores.


2017 ◽  
Vol 13 (2) ◽  
pp. 1-9 ◽  
Author(s):  
Ned Kock

Among latent variables that can be used in e-collaboration research, job performance is a particularly important one. It measures what most e-collaboration tools in organizations aim to improve, namely the performance at work of individuals executing tasks collaboratively with others. The authors report on a comparative assessment of scores generated based on a self-reported job performance measurement instrument vis-à-vis official annual performance evaluation scores produced by supervisors. The results suggest that the self-reported measurement instrument not only presents good validity, good reliability and low collinearity; but that it may well be a better way of measuring job performance than supervisor scores.


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