| Case Processing Summary | ||||||
| Cases | ||||||
| Valid | Missing | Total | ||||
| N | Percent | N | Percent | N | Percent | |
| Q59h. Trust police * Urban or Rural Primary Sampling Unit | 50485 | 97.9% | 1102 | 2.1% | 51587 | 100.0% |
| Q59h. Trust police * Urban or Rural Primary Sampling Unit Crosstabulation | ||||||
| Urban or Rural Primary Sampling Unit | Total | |||||
| Urban | Rural | Semi-Urban | ||||
| Q59h. Trust police | Not at all | Count | 5216 | 5937 | 104 | 11257 |
| % within Urban or Rural Primary Sampling Unit | 26.6% | 19.6% | 15.5% | 22.3% | ||
| Just a little | Count | 5360 | 7082 | 178 | 12620 | |
| % within Urban or Rural Primary Sampling Unit | 27.4% | 23.4% | 26.5% | 25.0% | ||
| Somewhat | Count | 5130 | 7973 | 177 | 13280 | |
| % within Urban or Rural Primary Sampling Unit | 26.2% | 26.4% | 26.3% | 26.3% | ||
| A lot | Count | 3878 | 9237 | 213 | 13328 | |
| % within Urban or Rural Primary Sampling Unit | 19.8% | 30.6% | 31.7% | 26.4% | ||
| Total | Count | 19584 | 30229 | 672 | 50485 | |
| % within Urban or Rural Primary Sampling Unit | 100.0% | 100.0% | 100.0% | 100.0% |
| Chi-Square Tests | |||
| Value | df | Asymp. Sig. (2-sided) | |
| Pearson Chi-Square | 877.477a | 6 | .000 |
| Likelihood Ratio | 893.555 | 6 | .000 |
| Linear-by-Linear Association | 794.593 | 1 | .000 |
| N of Valid Cases | 50485 | ||
| a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 149.84. |
| Symmetric Measures | |||
| Value | Approx. Sig. | ||
| Nominal by Nominal | Phi | .132 | .000 |
| Cramer’s V | .093 | .000 | |
| N of Valid Cases | 50485 |
In this scenario, we are comparing the relationship between Citizens’ trust in police and the question of whether respondents reside in rural, urban, or semi-urban settings. Using SPSS, Afrobarometer 2015, I have tabulated two variables, as categorized. Secondly, I have identified dependent variable as Trust in Police with an independent variable of respondents Urban or Rural Primary Sampling Unit. There is a total N of 51587 with 2.1% missing or not applicable to the data in question. Our cross-tabulation shows percent difference between the two variables. This allows us to further view the present of relationship between the variables. For example, there are 27.4%, 23.4% and 26.4% of Urban, Rural, and Semi-Urban respectively trust police just a little. Chi-Square Tests showed Pearson Chi-Square of 877.477 with associated P-value of 0.000. Cramer’s V of 0.093 with an associated P-value of 0.000 showed the strength of the relationship between the two variables (Laureate Education, 2016a). In this case, we can reject null hypothesis that there is no relationship between citizens’ trust in police and the question of whether respondents reside in rural, urban or semi-urban settings. The positive implications lies on the facts that different localities of citizens can have great impact on the nature and perception of police. It is certainly true that the duties of police is important, but what is even truer is the citizens’ trust in the duties of police officers.
