Introduction to Quantitative Analysis: Testing for Bivariate Categorical Analysis
Walden University RSCH 6210
Introduction to Quantitative Analysis: Testing for Bivariate Categorical Analysis
The analyses conducted within this assignment utilize the Afrobarometer Dataset C, the mean for the variable Q1 (Age) is 37.17. The research question in
the first scenario asks whether there is a relationship between trust in the police and presence of democracy in Africa. The first variable, Q59h or Trust police (N
= 14,136, M = 1.58, SD = 1.105) serves as the independent variable and uses an ordinal level of measurement. The variables categories include, ‘0 = Not at all’,
“1 = Just a little’, ‘2 = Somewhat’, ‘3 = A lot’, and ‘9 = Don’t know/Haven’t heard’. The second variable Democracy_dich or Democracy (N = 13,474, M = .
8864, SD = .31728) serves as the dependent variable and uses a nominal level of measurement. This variable is dichotomous, so it only has two categories which
include ‘0 = Not a democracy’ and ‘2 = Democracy’.
, As seen in the Model Summary in Table, the total sample consisted of 13, 277 respondents. The crosstabulation in Table 2 shows the results of the
comparisons between the two variables. About 37% (N = 555) of the respondents who had no trust in the police also indicated the absence of democracy. In
contrast, 15% (N = 226) of the respondents who had a lot of trust in the police also indicated the absence of a democracy. About 20.2% (N = 2,376) of
respondents who had no trust in the police also indicated the presence of democracy. In contrast, 28.2% (N = 11,775) of respondents who had a lot of trust in the
police also indicated the presence of democracy. The data demonstrates that as trust in the police decreases so do perceptions of the presence of democracy.
Alternatively, as trust in police increases, the perceptions of presence of democracy increase as well.
Walden University RSCH 6210
Introduction to Quantitative Analysis: Testing for Bivariate Categorical Analysis
The analyses conducted within this assignment utilize the Afrobarometer Dataset C, the mean for the variable Q1 (Age) is 37.17. The research question in
the first scenario asks whether there is a relationship between trust in the police and presence of democracy in Africa. The first variable, Q59h or Trust police (N
= 14,136, M = 1.58, SD = 1.105) serves as the independent variable and uses an ordinal level of measurement. The variables categories include, ‘0 = Not at all’,
“1 = Just a little’, ‘2 = Somewhat’, ‘3 = A lot’, and ‘9 = Don’t know/Haven’t heard’. The second variable Democracy_dich or Democracy (N = 13,474, M = .
8864, SD = .31728) serves as the dependent variable and uses a nominal level of measurement. This variable is dichotomous, so it only has two categories which
include ‘0 = Not a democracy’ and ‘2 = Democracy’.
, As seen in the Model Summary in Table, the total sample consisted of 13, 277 respondents. The crosstabulation in Table 2 shows the results of the
comparisons between the two variables. About 37% (N = 555) of the respondents who had no trust in the police also indicated the absence of democracy. In
contrast, 15% (N = 226) of the respondents who had a lot of trust in the police also indicated the absence of a democracy. About 20.2% (N = 2,376) of
respondents who had no trust in the police also indicated the presence of democracy. In contrast, 28.2% (N = 11,775) of respondents who had a lot of trust in the
police also indicated the presence of democracy. The data demonstrates that as trust in the police decreases so do perceptions of the presence of democracy.
Alternatively, as trust in police increases, the perceptions of presence of democracy increase as well.
