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An update measure of supervisor-rated job performance for programmer/analysis
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Source Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the ACM SIGCPR conference on Management of information systems personnel table of contents
College park, Maryland, United States
Pages: 148 - 152  
Year of Publication: 1988
ISBN:0-89791-262-4
Author
D. K. Goldstein  Harvard Business School
Sponsor
SIGCPR: ACM Special Interest Group on Computer Personnel Research
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 24,   Citation Count: 6
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ABSTRACT

In this research an updated measure of job performance is proposed. The measure is based on the work of Arvey and Hoyle (1974) and is modified to meet the changes in MIS jobs over the last several years. The eighteen item job performance measure was given to 238 programmer/analysts and their supervisors at a large company. A factor analysis of the items yielded a five factor model of performance composed of: overall performance, communication skills, job attitude, business knowledge, and technical skills. The factors were found to be both reliable and valid. Relationships among the factors, and between the factors and both demographic variables and work satisfaction, are explored.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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2
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3
Guinan, P.J. and Bostrom, R,P,, Communication Behaviors of Highly-Rated Versus Lowly Rated Systems Developers, Institute for Research on the Management of Information Systems, Working Paper #W707, Indiana University, 1987.
 
4
Iaffaldano, M.T. and Muchinsky, P.M., Job Satisfaction and Job Performance: A Meta-Analysis, PsycholoKica! Bulletin, 1985, Volume 97, Number 2, pages 251-273.
 
5
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6
Lawler, E.E. III, The Multitrait-Multirater Approach to Measuring Managerial Job Performance, Journal of Applied Psychology, 1967, Volume 51, Number 5, pages 369-381.
 
7
Nunnally, J.C. Psychometric Theory, Second Edition, McGraw-Hill, New York, 1978.
 
8
Smith, P.C., Kendall, L.M., Hulin, C.C. The Measurement of Satisfaction in Work and Retirement, Rand-McNally, Chicago, 1969.
 
9
Tucker, M.F., Cline, V.B., and Schmidt, J.R., Prediction of Creativity and Other Performance Measures from Biographical Information Among Pharmaceutical Scientists, Journal of iApplied Psychology, 1967, Volume 51, Number 2, pages 131-158.