Aside from the general issue regarding survey data and their inability to accurately represent reality, there are no overtly obvious issues regarding the measurement or operationalization of this variable. The central independent variable I chose was number of group memberships. The variable was measured by simply asking respondents for the number of groups that they belonged to. The unit of analysis in individuals, and the variable is continuous. The mean is 0.833, indicating that the number of memberships is skewed toward zero, with the mean not quite reaching one full group membership. The standard deviation is 1.38. There are a total of 226 responses missing, causing a slight issue. In addition, one respondent reported that she belonged
…show more content…
The data does not differentiate between types of group, nor does it really offer a clear indication of what a group is. Thus, what a group is may differ from person to person. In addition, the self-report nature of the variable can be a cause for concern.
Bivariate Test Since the dependent variable in this test is continuous and the independent variable is ordinal, the most appropriate bivariate test is an ANOVA test. For this test, the number of organizations that a group belonged to was lowered to a maximum of four, simply because there were so few responses of five or above. The results of the test are presented in Table 1
Table …show more content…
However it should be noted that the variable for internal efficacy is skewed heavily to the lower end, and additional categories had sample sizes that were quite small. Thus far, there does not seem to be any statistical support for either hypotheses.
Multivariate
The data does not differentiate between types of group, nor does it really offer a clear indication of what a group is. Thus, what a group is may differ from person to person. In addition, the self-report nature of the variable can be a cause for concern.
Bivariate Test Since the dependent variable in this test is continuous and the independent variable is ordinal, the most appropriate bivariate test is an ANOVA test. For this test, the number of organizations that a group belonged to was lowered to a maximum of four, simply because there were so few responses of five or above. The results of the test are presented in Table 1
Table …show more content…
However it should be noted that the variable for internal efficacy is skewed heavily to the lower end, and additional categories had sample sizes that were quite small. Thus far, there does not seem to be any statistical support for either hypotheses.
Multivariate