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

Thesis Keith Gale 20138.7 Analysis of results for financial engagement and performance monitoringtransaction costsResults from collation of financial transaction values have been separated into twogroups of data – one for procurement that relates to engagement transaction costs andthe other for performance monitoring costs. An aggregated value is obtained for thetotal fee for a project related to the total fee percentage quotient but analysis betweenthe two groups is separated. Within the two groups, variance factors for the differentcosts are independent variables that support cost quotients (dependent variables). Astatistical method of independent t-tests is used to explore relationships with costs foreach of the two groups.8.8 Empirical analysis for engagement and performance monitoring transactioncostsA check for reliability of scales for classification of raw data (financial values) andthe use of cost quotients form the underlying statistical construct. Both engagementand performance monitoring transaction costs are checked for internal consistencyusing Cronbach’s alpha coefficient. Results from this analysis are shown in Table8.1.Table 8.1: Reliability statistics for transaction costsCronbach's AlphaN of Items.890 3Examination of Cronbach’s alpha values for individual sections reveals a range ofscores from 0.748 to 0.905. Therefore scales used for all sections of analysis can beconsidered reliable.A graphical representation is used to identify frequencies, distribution and profiles ofaggregated values for total fee quotients – representing total values of engagementand performance monitoring transaction costs set against tender values. A histogramof quotients for discrete projects is shown at Figure 8.1, with framework projectsshown at Figure 8.2. Visual interpretation reveals similar distribution curves for bothgroups – but with a wider range of values for discrete when contrasted with175