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Further analysis to examine the association of stigma measures with utilization of voluntary counselling and testing services was done using the logistic regression model since?because the dependent variable is whether one uses VCT or not.
This is because the dependent variable here is the proportion of couples who do not divorce.
This study applied the ordinal logistic regression because the dependent variable is a discrete ordinal data.
This modelling method was used because the dependent variable (damage level) is a 3-level ordinal data.
We use logistic regression, because the dependent variable is whether the founders established information technology venture or not.
There is an inherent negative bias in this method because the dependent variable is transformed prior to estimation (Snowdon 1991).
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Also, because the dependent variables in Tables 3, 4, and 5 are all 0 1 interlocking network relations of dyad companies, we used logistic regression analysis to examine the hypotheses, based on the QAP method.
In order to examine how the responses to each of the 14 questions about the frequency of types of cheating (the dependent variables) varied between universities (the independent variable), the Mann-Whitney U-test was used because the dependent variables are ordinal variables.
Because the dependent variables (δN, δC, %N, %C and C/N) may be correlated, significant differences between feeding treatments were assessed by multivariate analysis of variance (MANOVA).
The Mann-Whitney test was determined to be appropriate because the dependent variables were not normally distributed.
We adopted Mann–Whitney Wilcoxon tests because the dependent variables were discrete (15-min intervals) and not normally distributed (Shapiro Wilk normality tests, P < 0.001).
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