5.2Quantitative data analysis The following subsection provides a breakdown of the variables within the data collection process prior to offering an analysis of the descriptive data utilised within...

Hello, i have been asked to expand my statistics coverage. I am not sure what that would entail, whether it would be further descriptive statistics or regression, applied, etc... I have added what I've done. Can you help me to expand this? Please note that I do not have a detailed data set/just the basic groupings in the document provided. The dataset can be 'manipulated' if needed.


5.2Quantitative data analysis The following subsection provides a breakdown of the variables within the data collection process prior to offering an analysis of the descriptive data utilised within this study. The implications of the findings are then considered within the context of this research. 5.2.1Sample analysis Figure 5 Pie chart of distribution of respondents by age Table 1 Frequency distribution of respondents by age Age Frequency Percent Valid Percent Cumulative Percent Valid 25-35 years 58 21.5 21.5 21.5 35-45 years 123 45.6 45.6 67.0 45-55 years 65 24.1 24.1 91.1 Above 55 24 8.9 8.9 100.0 Total 270 100.0 100.0 There was sufficient representation of individuals from all age groups except the above 55 age group. People in this age group are generally involved in managerial roles or may even move to other public sector departments as there may be insufficient number of senior positions to accommodate a high number of individuals. It is a common practice in UAE to move senior level individuals from one public service division to another. Figure 6 Pie chart of distribution of respondents by tenure with police Table 2 Frequency distribution of respondents by tenure with police Work Experience in Police Department Frequency Percent Valid Percent Cumulative Percent Valid 15-20 years 119 44.1 44.1 44.1 21-30 years 63 23.3 23.3 67.4 Over 30 years 37 13.7 13.7 81.1 under 15 years 51 18.9 18.9 100.0 Total 270 100.0 100.0 In line with the age, the largest number of respondents reported between 15 and 20 years of experience followed by those between 21-30 years of experience working in the police department. Comparably, 13.7% of individuals reported over 30 years of experience. These individuals predominantly tended to hold senior executive roles. Figure 7 Pie chart of distribution of respondents by academic qualifications Table 3 Frequency distribution of respondents by academic qualifications Academic Qualifications Frequency Percent Valid Percent Cumulative Percent Valid Bachelors 75 27.8 27.8 27.8 Higher Diploma 37 13.7 13.7 41.5 Masters 129 47.8 47.8 89.3 PhD 29 10.7 10.7 100.0 Total 270 100.0 100.0 Almost half of the respondents reported having a Master’s level qualification while over a quarter reported Bachelor’s level qualification. By comparison, only 10.7% of the respondents held PhD degrees. Interestingly, 13.7% percent of the respondents reported having higher diploma level qualifications. It is possible that these individuals were individuals who pursued police as career immediately after finishing schooling unlike many others who decided upon their careers after finishing college education. 5.2.2Descriptive statistics Table 4 Descriptive statistics of questionnaire survey responses Descriptive Statistics Mean Std. Deviation Kurtosis Statistic Statistic Statistic 4. Lone wolf terrorism is a key security risk for most countries 3.76 .576 1.092 5. Police is the most suitable agency to reduce lone wolf terrorist risk 3.61 .691 2.479 6. Police should bear the responsibility of managing lone wolf terrorism risk 3.59 .755 -.178 7. Police is the best agency to collect intelligence on lone wolf terrorists through direct surveillance 3.61 .737 -.096 8. Community members are key sources of intelligence on lone wolf terrorists 3.86 .612 1.938 9. Prison services can provide intelligence on lone wolf terrorists 3.19 .704 .359 10. Police and Central intelligence agencies must share intelligence to combat lone wolf terrorism risk 3.87 .599 1.286 11. Political activities or interests of individuals can be useful source of intelligence on potential lone wolves and their supporters 2.11 .778 -.738 12. Monitoring political activities 2.13 .784 -.181 13. Police forces worldwide are currently poorly trained for collecting intelligence on lone wolf terrorism 3.44 .702 1.265 14. Training can improve capability of police forces to collect intelligence on lone wolf terrorism 4.17 .685 -.868 15. Police forces have sufficient funds for collecting intelligence on lone wolf terrorism 2.62 .765 .435 16. Police forces may be short of human resources for collecting intelligence on lone wolf terrorism 3.69 .791 .166 17. Police forces may need help in upgrading their technological expertise in order to play a useful role in collecting intelligence on lone wolf terrorism 3.77 .725 2.439 18. Increasing cultural diversity in police forces can improve its capabilities of collecting intelligence on lone wolf terrorism 4.04 .667 -.737 19. Increasing professional diversity in police forces can improve its capabilities of collecting intelligence on lone wolf terrorism 3.64 .519 -.230 20. Police need to be more socially involved to collect intelligence on lone wolf terrorism from community members. 4.07 .664 .626 21. Non policing interaction with community can be useful form of collecting intelligence on lone wolf terrorists 3.91 .753 1.087 22. Technological expertise of police forces is insufficient to collect intelligence on lone wolf terrorism 3.56 .897 .082 23. Collecting intelligence on potential lone wolf terrorists is the best approach minimise lone wolf terrorism risk 3.98 .654 .563 24. Intelligence operations are the best way to minimise lone wolf terrorism risk 3.93 .743 .099 25. Collecting intelligence on influencers of lone wolf terrorists is the best approach minimise lone wolf terrorism risk 3.91 .702 .566 26. Collecting intelligence on facilitators of lone wolf terrorists is the best approach minimise lone wolf terrorism risk 4.00 .639 .831 27. Multi agency cooperation involving police, intelligence agencies and other agencies is essential to combat lone wolf terrorism risk 3.86 .748 -.450 28. Identifying and intercepting online communication is critical for minimising lone wolf terrorism threat 4.04 .694 1.197 29. Disrupting funding sources for lone wolves is useful strategy to lower lone wolf terrorism risks 3.85 .913 1.888 30. Local communities can provide vital information on people with extremist ideology 3.96 .840 4.081 31. Cross border intelligence is critical for disrupting lone wolf terrorist networks 4.09 .702 .149 32. Only way to minimise lone wolf terrorism risk is through intelligence operations 3.54 1.033 .614 33. It is better to have an independent counter terrorism agency rather than managing terrorism risk through existing agencies 3.71 .975 -.207 34. Most lone wolf terrorist are politically active 3.16 .750 -.390 35. Tracking activities of individuals online can provide vital intelligence n potential lone wolf terrorists 4.04 .770 .779 36. Police must play a direct role in managing lone wolf terrorism 3.87 .819 .408 37. Police must play an active and leading role in managing lone wolf terrorism 4.00 .668 .405 38. Police can better manage lone wolf terrorism risk than other national level agencies 2.69 .835 -.590 39. Recruiting local officers for intelligence collection is useful because of their social connections 3.96 .720 .504 40. Community members are more likely to entrust local individuals than police officers for sharing intelligence on potential lone wolves 3.78 .630 1.002 41. Police forces need additional training to collect intelligence discreetly 4.15 .622 1.491 42. Police forces is capable of playing local level intelligence agency 3.62 .590 .557 43. Police forces has skills for local level intelligence collection 3.10 .967 -.244 44. Police must work under the central intelligence agencies for lone wolf terrorism intelligence 3.85 .706 .314 45. Cross functional training of police officers with intelligence officers can boost counter terrorism intelligence capabilities of police 3.87 .654 .957