Organizational Testing and Assessment Essays

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Organizational Testing and Assessment Organizational testing and assessment is done throughout companies and organizations of all kinds for the purpose of screening and selecting the best employees as part of their staff. Companies need to select tools and materials that are effective and reliable in screening employees. In addition they need to know how to properly administer and interpret the results. In the sections below, performance appraisal, behavioral observation scales, the Big Five Personality Theory, meta-analysis, and Carroll’s three stratum theory will be all described and what their purpose is as to being used in organizational testing and assessment.
A performance appraisal is basically the same things as a performance
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The Big Five Personality dimensions should not be used solely to determine who a person truly is, for there are far more aspects to a person and their personality than that.
Meta-analysis is a technique used in statistics. It involves the results of two or more studies being mathematically combined in order to improve the reliability of the given results. The studies that are chosen in the technique need to be similar in characteristics so that the results are accurately combined. When the treatment effect (or effect size) is consistent from one study to the next, meta-analysis can be used to identify this common effect. When the effect varies from one study to the next, meta-analysis may be used to identify the reason for the variation (Statistical Solutions, 2011). The advantages of meta-analysis include: 1) derivation and statistical testing of overall factors / effect size parameters in related studies, 2) generalization to the population of studies, 3) ability to control for between-study variation, 4) including moderators to explain variation, 5) higher statistical power to detect an effect than in ‘n=1 sized study sample’ (Statistical Solutions, 2011). The weaknesses of meta-analysis on the other hand include: 1) sources of bias are not controlled by the method, 2) a good meta-analysis of badly designed studies will still result in bad statistics, 3)