Staffing Organizations Interpreting Reliability Results

Staffing Organizations Interpreting reliability results for tests and work sample Reliability of results and work samples can be interpreted by the coefficient alpha measure. In interpreting the reliability of results and work samples, a high level of coefficient alpha implies that numerous facets on the sample or results measure the same thing. It appears to be correlated and consistent (Bechet, 2008). An employer would pursue a low coefficient alpha where a written job knowledge test is used to measure heterogeneous job skills.

This suggests that the focal job demands a caseload of different skills and knowledge. This could include managerial, mechanical, clerical and mathematical. This means that test results are measuring various forms of knowledge. This is the primary intention of the staffing professional. The samples must not correlate much since the hiring professional will expect a low coefficient alpha. Retesting the reliability of low tests might be desirable where the work samples under investigation are unstable.

In such a case, the work sample being measured will exhibit varied levels of the attribute being measured at alternating times. Psychological tests like attitudes and moods are factors expected to vary from one work sample to another during the intervals between tests and re-tests. In case of long durations during the intervals, attributes connected to achievement and ability would be expected to show up as results in the reliability of low-test retest (Heneman, Judge, & Kammeyer-Mueller, 2012).

Interpreting the validity of results for tests The validity of results will be interpreted through assessing the predictive validation. In this case, the validity study begins with a job analysis aimed at identifying and defining the important tasks of a focal job. Next, Phonemin would conduct a motivation required to perform the tasks of the focal job. Underlying tasks are then arrayed systematically within a job requirement matrix. Performance measures of tasks will be achieved through an existing innovation of measurement instruments (Bechet, 2008).

It will be necessary to develop predictor measures in a systematic manner based on Phonemin's identified job analysis. Test documents will be conducted on employees with the sole purpose of developing a criterion for scores of job performance criteria. The ability test generates predictor scores and newly created criterion scores connected. This would be used in determining whether the prevailing employee abilities are related with their prevailing job performance based on the measurements of the criterion scores.

In case of a high correlation, it concludes that there is a high validity of the concurrent criterion. This suggests that the identified abilities have measured the performance abilities on tasks that require the decision makers to measure. For the content validity to be interpreted, a job analysis must be done, and the requirement matrix to be developed. Then interpreting the content validity would then become a judgmental procedure where organizational or external experts.

These experts must be thoroughly informed and knowledgeable about the nature of the focal job tasks and job. They then deliver a judgment on whether the abilities displayed by the test results are a true reflection of the organization's identified job analysis. Assessment of content validity tests tends to be judgmental and does not need the creation of a criterion measure like in criterion validity test (Heneman, Judge, & Kammeyer-Mueller, 2012).

Limitations when interpreting results This study demonstrates that there are three major limitations, which must be kept in mind when interpreting results and making decisions whether to use clerical tests or work sample. They.