Analysing data and findings from questionnaire - Essay Example

This information is available in Figure 5.3. 5.2.4 Respondents' Education The academic background of each of the respondents was obtained. Figure 5.4 reveals that most of respondents were Master degree holders and they represented 34.9 percent of the sample population while 8.9 percent of the respondents were educated up to high school level. 29.4 percent of the respondents were found to be having a Bachelor degree and 14.4 percent were PhD degree holders. 12.5 percent of the respondents revealed they had other certificates. 5.2.

5 Respondents' Position It is evident from Figure 5.5 shows that most of respondents were experienced and had worked for 1-5 years. They represented 37.6 percent of the respondents while respondents having more than 20 years’ work experience comprised of 4.9 percent of the sample population. About 18.7 percent of the respondents had working experience of 6-10 years. Additionally, respondents having experience of less than one year accounted for 14.1 percent of the respondents; while 17.7 percent amongst them had working experience of 11-15 years.

The remaining 7 percent respondents amongst the sample population had experience of 16 -20 years. 5.3 The Data 5.3.1 Data Inspection Data analysis commenced with an inspection and review of the data in order to ascertain that it was suitable for analysis. In order to carry out an exhaustive data analysis it was considered proper to follow the procedures outlined by Hair et al. (2006), which included examining data patterns that were missed out and adhering to statistical assumptions, identification of outliers, and a review of skewness and kurtosis. 5.3.2 Missing. The study provides specific contributions relative to quality management practices in public hospitals in Saudi Arabia.

The researcher uses a sample population of 327 respondents in carrying out an exploratory factor analysis to determine the factor structure of instruments that had 101 items. The factors examines in this context were: transformational leadership style, transactional leadership style, laissez-faire leadership style, organizational culture and quality management practices. A test of reliability was also made in the context of all the interval scale variables in order to ascertain the extent to which they are free from casual errors.

Additionally, this research made an analysis of the assumptions made in regard to homoscedasticity, linearity and non linearity and the outcomes showed that the assumptions proved to be correct. In addition to the above, the research conducted hierarchical regression in order to analyze the relationships amongst different leadership styles, organizational culture and practices of quality management. In view of the outcomes that emerged from the research, it can be said that all the hypotheses made in this study were found to have adequate support in terms of the research outcomes.

The independent variables also revealed a pattern whereby they sufficiently contributed to practices of quality management. Organizational culture has been found to be important and to have a partially moderating impact on the relationships amongst laissez-faire leadership styles and quality management practices.