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The Relationship between Rating Scales used to Evaluate Tasks from Task Inventories for Licensure and Certification ExaminationsCadle, Adrienne W. 01 January 2012 (has links)
The first step in developing or updating a licensure or certification examination is to conduct a job or task analysis. Following completion of the job analysis, a survey validation study is performed to validate the results of the job analysis and to obtain task ratings so that an examination blueprint may be created. Psychometricians and job analysts have spent years arguing over the choice of scales that should be used to evaluate job tasks, as well as how those scales should be combined to create an examination blueprint. The purpose of this study was to determine the relationship between individual and composite rating scales, examine how that relationship varied across industries, sample sizes, task presentation order, and number of tasks rated, and evaluate whether examination blueprint weightings would differ based on the choice of scales or composites of scales used. Findings from this study should be used to guide psychometricians and job analysts in their choice of rating scales, choice of composites of rating scales, and how to create examination blueprints based upon individual and/or composite rating scales.
A secondary data analysis was performed to help answer some of these questions. As part of the secondary data analysis, data from 20 survey validation studies performed during a five year period were analyzed. Correlations were computed between 29 pairings of individual and composite rating scales to see if there were redundancies in task ratings. Meta-analytic techniques were used to evaluate the relationship between each pairing of rating scales and to determine if the relationship between pairings of rating scales was impacted by several factors. Lastly, sample examination blueprints were created from several individual and composite rating scales to determine if the rating scales that were used to create the examination blueprints would ultimately impact the weighting of the examination blueprint.
The results of this study suggest that there is a high degree of redundancy between certain pairs of scales (i.e., the Importance and Criticality rating scale are highly related), and a somewhat lower degree of redundancy between other rating scales; but that the same relationship between rating scales is observed across many variables, including the industry for which the job analysis was being performed. The results also suggest the choice of rating scales used to create examination blueprints does not have a large effect on the finalized examination blueprint. This finding is especially true if a composite rating scale is used to create the weighting on the examination blueprint.
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A validation of the Visual Perceptual Aspects Test using a bifactor exploratory structural equation modelling approachKlapwijk, Jonathan Menno 11 1900 (has links)
Visual perception is a psychological construct that describes the awareness of visual sensations and arise from the interactions of the individual or observer in the external environment together with the physiology of the observer’s visual system. A variety of theories of the development of visual perception have led to the development of different psychometric measures aimed at quantifying the cognitive construct. The Visual Perceptual Aspects Test was developed by Clutten (2009) to measure nine different constructs of visual perception. The original VPAT was validated using content and construct validity based on a Western Cape sample. However, to the researcher’s knowledge, a factor analysis had not yet been conducted on the VPAT to determine the factor validity of the test. Furthermore, no measures of validity or reliability had been conducted on the VPAT using a sample outside of the Western Cape. The aim of this research is to validate the hypothesised nine factor structure of the Visual Perceptual Aspects Test, using a confirmatory factor analysis, exploratory structural equation model, a bifactor confirmatory factor analysis and a bifactor exploratory structural equation model. The results of the analysis showed marginal model fit of the VPAT with the sample data, with sufficient levels of reliability for certain sub-tests. However, the VPAT did not meet significant levels of validity or reliability of the proposed model structure of the VPAT for the sample group of learners based in the Eastern Cape. / Psychology / M.A. (Research Psychology)
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