Scaling Techniques

S. P. Mukherjee (), Bikas K. Sinha and Asis Kumar Chattopadhyay ()
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S. P. Mukherjee: University of Calcutta, Department of Statistics
Bikas K. Sinha: Indian Statistical Institute
Asis Kumar Chattopadhyay: University of Calcutta, Department of Statistics

Chapter Chapter 4 in Statistical Methods in Social Science Research, 2018, pp 39-52 from Springer

Abstract: Abstract In many studies on opinions or skills or competencies and similar other attributes, we use tests or instruments to develop some measures in terms of scores assigned to responses to different items. And these scores in different subjects, in different environments and in different times may not be comparable and we need to scale them properly before we can make use of the scores for any decision or action. Use of standardized scores or of equipercentile curves has been quite widely used in the examination system. Opinion surveys often require respondents to tick off one out of five or seven or some such (usually odd) number of categories and Likert scaling to convert the response categories to values of an underlying continuous variable following the normal distribution is another commonly adopted method that has been discussed in this chapter. When concrete or even abstract entities are to be compared on the basis of judgments given by several experts or referees based on some criterion, method of paired comparisons resulting in product scale values for the entities is obtained, following Thurstone’s method. This has been discussed in some details under various setups and corresponding statistical models.

Keywords: Stanine scores; Equipercentile curves; Product scaling; Likert scaling (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-981-13-2146-7_4

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