Universal Journal of Psychology Vol. 5(6), pp. 253 - 261
DOI: 10.13189/ujp.2017.050603
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Sociometric Mapping for Predictive Performance Analysis: The Measurement of Attitudes of Social Acceptance or Rejection through Expressed Preferences among Members of a Social Grouping


John Hathaway *
Senior Lecturer in HRM, Department of Business and Management, Buckinghamshire New University, England

ABSTRACT

The level of group acceptance or rejection through Sociometric preferences was measured and correlated to the Summative performance of a small class of post graduate students studying Human Resource Management. Acceptance above the average score for the social atom indicated a better performing student, whereas students with low acceptance scores were struggled to achieve. No student achieving above average Sociometric preference scores failed, while 30% struggled to achieve pass marks. Additional contributing factors such as ethnicity illustrated areas for further investigation within the research. The central thesis was confirmed and Sociometric performance scores offer scope for the development of praxis into predictive performance analysis.

KEYWORDS
Sociometry, Social Atom Theory, Post Graduate, Achieving, Predicting Performance

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] John Hathaway , "Sociometric Mapping for Predictive Performance Analysis: The Measurement of Attitudes of Social Acceptance or Rejection through Expressed Preferences among Members of a Social Grouping," Universal Journal of Psychology, Vol. 5, No. 6, pp. 253 - 261, 2017. DOI: 10.13189/ujp.2017.050603.

(b). APA Format:
John Hathaway (2017). Sociometric Mapping for Predictive Performance Analysis: The Measurement of Attitudes of Social Acceptance or Rejection through Expressed Preferences among Members of a Social Grouping. Universal Journal of Psychology, 5(6), 253 - 261. DOI: 10.13189/ujp.2017.050603.