Testing for One-Way
ANOVA
Walden University
RSCH 8210: Quantitative Reasoning and Analysis
14:08:13 GMT -05:00
, Testing for One-Way ANOVA
A one-way ANOVA examines the mean difference among two or more groups
(Frankfort- Nachmias et al., 2021). To perform a one-way ANOVA there must be one
independent variable with more than two categories, and a single continuous dependent variable.
Using a one-way ANOVA we can begin to answer the research question: How does the countries
region affect the level of trust in the government? Answering this question can promote social
change by targeting policy intervention to specific areas of continent. The one-way ANOVA will
be completed using the Afrobarometer data set with a mean age of 37.23. The null hypothesis
states that the mean level of trust in the government will be the same in North, East, South, and
West Africa. An F- statistic greater than the critical value of F that has been determined by an
alpha value of .05, and the appropriate degrees of freedom will result in the null hypothesis being
rejected (Frankfort- Nachmias et al., 2021).
The ANOVA yielded the results where F (3, 9695) = 111.546 with a p<.001. The
F- statistic of 111.546 is greater than the critical F (2.6) resulting in the rejection of the
null
ANOVA
Walden University
RSCH 8210: Quantitative Reasoning and Analysis
14:08:13 GMT -05:00
, Testing for One-Way ANOVA
A one-way ANOVA examines the mean difference among two or more groups
(Frankfort- Nachmias et al., 2021). To perform a one-way ANOVA there must be one
independent variable with more than two categories, and a single continuous dependent variable.
Using a one-way ANOVA we can begin to answer the research question: How does the countries
region affect the level of trust in the government? Answering this question can promote social
change by targeting policy intervention to specific areas of continent. The one-way ANOVA will
be completed using the Afrobarometer data set with a mean age of 37.23. The null hypothesis
states that the mean level of trust in the government will be the same in North, East, South, and
West Africa. An F- statistic greater than the critical value of F that has been determined by an
alpha value of .05, and the appropriate degrees of freedom will result in the null hypothesis being
rejected (Frankfort- Nachmias et al., 2021).
The ANOVA yielded the results where F (3, 9695) = 111.546 with a p<.001. The
F- statistic of 111.546 is greater than the critical F (2.6) resulting in the rejection of the
null
