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PhD Final Thesis April 2013.pdf - Anglia Ruskin Research Online

PhD Final Thesis April 2013.pdf - Anglia Ruskin Research Online

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<strong>Thesis</strong> Keith Gale 20139.12 Manipulation of questionnaire responsesIn order to undertake further analysis of questionnaire responses, alignment of valuesis necessary for positively and negatively worded statements. Behaviour factorsidentified in Table 9.9 are set against values and aligned through manipulation asstated in Table 9.10. The manipulated value places support toward frameworkagreement contracts preference as value 5 and support toward traditional preferenceas value 1.Table 9.10: Section 3 questions showing links to sociological categories, originalresponse values and manipulated valuesQuestionNumberQ21SociologicalcategoryRelationships(long term)Original responsevaluesStrongly agree = 1Agree = 2Neutral = 3Disagree = 4Strongly disagree = 5Not applicable = 6Manipulated valuesStrongly agree = 5Agree = 4Neutral = 3Disagree = 2Strongly disagree = 1Not applicable = 0Q22 Communication As above As original valuesQ23 Decision making As above Reversed as for question 21Q24 Knowledge As aboveAs original valuestransferQ25 Incentives As above Reversed as for question 21Q29 Trust As above Reversed as for question 21Q30 Empowerment As above Reversed as for question 21Q35 Diversity As above Reversed as for question 21Q36 Satisfaction As above As original valuesQ37 Motivation As above Reversed as for question 219.13 Use of factor analysis for sociological behaviour questionsConfirmation of reliability of questionnaire results allows data analysis to beundertaken using factor analysis. The purpose of factor analysis is to identify a smallset of factors that represent the underlying relationships among a group of relatedvariables. Such factors, known as components are used to identify correlated views.Factor analysis is undertaken to questions contained in section 3 of the questionnairerelated to sociological behaviours identified in Table 9.10.The reliability of factor analysis and correlation of coefficients is dependant uponsample size. Tabachnick and Fidell (2001) recommend a ratio of five cases pervariable whereas Kass and Tinsley (1979) recommend 10 in order to provide stable220

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