That represented project mission factor 2 was based

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that represented project mission; Factor 2 was based on four items that represented project resources, Factor 3 was based on four items that represented management, Factor 4 was based on four items that represented budget allocation. The Kaiser-Mayor-Oklin measures of sampling adequacy shows the value of test statistic as 0.617, which is greater than 0.5 hence an acceptable index. While Bartlett’s test of sphericity shows the value of test statistic as 0.000 which is less than 0.05 acceptable indexes. This result indicates a highly significant relationship among variables. Table 4.2: KMO & Bartlett Test KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .617 Bartlett's Test of Sphericity Approx. Chi-Square 88.918 df 15 Sig. .000 Reliability Analysis: Before the commencement of the actual study, a pilot study was carried out to pre-test the validity and reliability of data collected using the questionnaire. The pilot study allowed for pre-testing of the research instrument. The results on reliability of the research instruments are presented in Table 4.3. Table 4.3: Reliability Analysis Scale Cronbach’s Alpha Number of Items Remarks Project Mission 0.766 4 Accepted Project Resources 0.809 4 Accepted Management 0.793 4 Accepted Budget Allocation 0.789 4 Accepted Project Implementation 0.891 4 Accepted The overall Cronbach's alpha for the four categories which is 0.8096. The findings of the pilot study showed that all the four scales were reliable as their reliability values exceeded the prescribed threshold of 0.7 (Bryman and Bell, 2015). Coefficient of Correlation: Pearson Bivariate correlation coefficient was used to compute the correlation between the dependent variable (project implementation) and the independent variables (project mission, project resources, management and budget allocation).
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ISSN 2394-9694 International Journal of Novel Research in Humanity and Social Sciences Vol. 5, Issue 4, pp: (53-69), Month: July - August 2018, Available at: Page | 63 Novelty Journals According to Sekaran, (2015), this relationship is assumed to be linear and the correlation coefficient ranges from -1.0 (perfect negative correlation) to +1.0 (perfect positive relationship). The correlation coefficient was calculated to determine the strength of the relationship between dependent and independent variables (Kothari and Gang, 2014). In trying to show the relationship between the study variables and their findings, the study used the Karl Pearson’s coefficient of correlation (r). This is as shown in Table 4.4 below. According to the findings, it was clear that there was a positive correlation between the independent variables, project mission, project resources, management and budget allocation and the dependent variable project implementation. The analysis indicates the coefficient of correlation, r equal to 0.216, 0.193, 0.020 and 0.312 for project mission, project resources, management and budget allocation respectively.
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