The Values And Motives Questionnaire

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The Values and Motives Questionnaire (VMQ) manual explained two types of reliability that they utilized to assess the consistency of the assessment: test-retest reliability and homogeneity reliability (Psytech, 2016). The test-retest reliability assesses compares the scales that occurred at two or more separate testings, whereas the homogeneity assesses if the items within the test are similar in their ability to test the target attribute. (Drummond, Sheperis, & Jones, 2016). The two types of validity the VMQ manual acknowledged wereconstruct and criterion validity (Psytech, 2016). Construct validity is an assessment that tests if the target attribute is effectively being measured. The test needs to reflect meaning and be consistent with other established tests measuring the same attribute. Criterion validity measures the tests ability to predict the target attribute successfully, this is especially important since most assessment are given in order to predict wellness or behaviors (Drummond et al., 2016). The primary reliability assessment used to portray reliability in the manual is the homogeneity. It was reported that all of the scales have a strong measurement, except for achievement and infrequency (Psychnet, 2016). This means that of all the sub-categories that are in the VMQ are asking questions that are similar in their measurement of the target category. For validity, the inter-correlations were assessed. The results indicated that the sub-scales did not directly impact each other and that they did measure the specific sub-scales they were intending to measure (Psychnet, 2016).
There are total of thirteen scales within the VMI. None of those scales fall with in the highest alpha category. Two of the scales (15%) fall...

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Overall, the test had an adequate reliability coefficients. It is important to note that the items with the higher alpha scores had more questions, whereas, the items with the lowest alphas scores had fewer questions. Fewer questions my make it more difficult to get higher homogeneity scores (Drummond et al., 2016). So at first consideration, I would say this is a strong test with reliable scales. When assessing validity, I would be inclined to also consider it a strong test. The correlations conveyed a wide array of strength. Yet some of the expected overlap represents adequate validity (Psychnet, 2016). Overall, this could be a good test to use if targeting population similar to the tested population. It was tested on highly academic groups, which may not be representational of the population at large, but may be useful in colligate settings (Psychnet, 2016).

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