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Generalized locus of control: An analysis of factor analytic data
Affiliation:1. School of Engineering, Deakin University, Melbourne, Australia;2. School of Engineering, RMIT University, Melbourne, Australia;3. Software Engineer, ITW Construction, Asia Pacific, Melbourne, Australia;4. Australian Research Council Centre of Excellence for Geotechnical Science and Engineering, The University of Newcastle, Australia;1. Internal Medicine, Department of Medical, Surgical and Health Sciences, University of Trieste, and Azienda Ospedaliera “Ospedali Riuniti,” Trieste, Italy;2. General Surgery, Department of Medical, Surgical and Health Sciences, University of Trieste, and Azienda Ospedaliera “Ospedali Riuniti,” Trieste, Italy
Abstract:Despite discouraging empirical evidence concerning a general expectancy of internal or external (I-E) locus of control, researchers appear reluctant to abandon Rotter's original hypothesis. A possible methodological flaw in most I-E research involves the failure to test the measured tendency against multiple act criteria. Data which address this concern may be found in factor analytic studies of I-E scales. This evidence is reviewed with respect to three predictions derived from a generalized expectancy hypothesis. First the expectancy should be measured by a single dimension. Second, this dimension should have breadth of application across situations. Third, the dimension should generalize to a variety of populations. Factor analytic data provide little support for these predictions. It is suggested that goal-specific multidimensional locus of control scales hold greater promise for predicting behaviour.
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