By Dr. Robert F. DeVellis
A best-seller in its First Edition, Scale improvement: conception and purposes, moment version has been commonly up-to-date and revised to handle alterations within the box and issues that experience grown in significance because the First Edition. extensively followed for graduate classes in departments reminiscent of Psychology, Public health and wellbeing, advertising, Nursing, and schooling, this ebook will end up precious to utilized researchers around the social sciences. New to the Second Edition are figures and sensible information for college kids, a brand new part on face validity (Chapter 4), a considerably extended presentation of issue research (Chapter 6), a brand new bankruptcy (7) on merchandise reaction conception (IRT), insurance of qualitative techniques, and concerns concerning differential merchandise functioning (Chapter 8).
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Extra resources for Scale Development: Theory and Applications
Core on some scale) to other variables. It is the extent to which a measure "behaves" the way tl1at the construct it purports to measure should behave with regard to established measures of otbcr constructs. So, for example, if we view some variable, based on theory, as positively related to constructs A and B, iccgatively related to C and D, and unrelated to X and Y, U1en a scale that purports to measure that construct should bear a similar relationship to mcas\JTCS of those constructs. Jn olhcr words, our measure should be positively correlated with measures of constructs A and B, negatively correlated with measures of C and D, and uncorrelated with measures of X and Y.
However, U1c similarity between the numerical values of the criterion and the predictor measure prior to an appropriate transformation would have nothing to do wi~h the degree of validity. core on some scale) to other variables. It is the extent to which a measure "behaves" the way tl1at the construct it purports to measure should behave with regard to established measures of otbcr constructs. So, for example, if we view some variable, based on theory, as positively related to constructs A and B, iccgatively related to C and D, and unrelated to X and Y, U1en a scale that purports to measure that construct should bear a similar relationship to mcas\JTCS of those constructs.
However. there are other reliability estimates that apply the same sort of logic to a single set of items. , a scale that docs not have any alternate form), (b) divide that set of items into two subsets. and (c) correlate the subsets to assess reliabi li ty. 40 SCALE DEVELOPMENT A reliability measure of this type is called a split-lwlfreliability. Split-half reliability is really a class rather than a si ogle type of computational metbO