In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis.
Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method.
Part of SAGE’s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
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Jeremy Dawson is a Reader in Health Management at the University of Sheffield, working jointly between the Institute of Work Psychology (part of the Management School) and the School of Health and Related Research (ScHARR).
This concise and practical guide explores the use of analysing quantitative survey data using classical test theory as a method for conducting research in a business and management Masters dissertation.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This concise and practical guide explores the use of analysing quantitative survey data using classical test theory as a method for conducting research in a business and management Masters dissertation.Über den AutorJeremy. N° de réf. du vendeur 595995673
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