There are two basic guess to the conceptualizations of line of reasoning digest accuracy:- Classical Test Theory and Generalizability Theory. Classical sieve theory suggests that a true crisscross esists for a accustomed job and that true scores are stavle over time. each measuring stick variation error are eliminated or aggragated crosswise time or line of descents. Through this, researchers have commonly come job analysis information in order the establish the true score for every particular job, then the superior of job analysis datas are indexed with estimation of interrater reliability.
However, classical establish theory can only estimate one source of error at a time. To overcome this, generalizability theory which concerns with the dependableness of behavioral measures are adopted. The dependability involves the accuracy of generalizing from an observed score to the average score over varied kind of situations. However, this theory allows one to segment the sources into multiple sources or facets, such as the methods of data collection and sources of data. The ability to estimate multiple sources of measurement error simultaneously enable us to examine how different methods, sources of data, location, incumbent abililty and other possible factors impact the accuracy of job analysis data.
Cronbachs (1995) method of differentiating the accuracy scores have intravenous feeding components:- elevation, differential elevation, stereotype accruracy, and differential accuracy.
Elevation refers to the way raters utilisation response scales and is a function of the differences between the average of a persons ratings and the average adroit score. Differential elevation refers to how close an average job rating crosswise all dimensions to an average expert rating would be. The abiltiy to auspicate the profile of dimension means across the jobs are reflected by stereotype accruracy while diffrential accuracy reflects the abliity to predict the differences between jobs and individual dimensions.
Morgeson and Campion (1997) came up with Multidimensional...
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