Research question:Can housing problems significantly affect overall satisfaction and material well-being?

Research question:Can housing problems significantly affect overall satisfaction and material well-being?

A total of 935 female participants were surveyed to discover if there is a statistically significant difference in overall satisfaction among women based on the number of housing troubles they have experienced. Research question:Can housing problems significantly affect overall satisfaction and material well-being? The housing problem was grouped into three variable categories. Each of these groups was grouped according to the number of housing problems they had. VI:Women without housing problems accounted for 367 V2:Women with a single housing issue accounted for 264, V3: Women with multiple housing problems accounted for 304 Null hypothesis:Women with housing problems do not experience significant differences in overall satisfaction and material well-being. Alternative hypothesis:Different housing problems lead to different levels of satisfaction and well-being. The average score for women who did not report any housing issues was 12.71, the average score for those who said one problem was 11.97, and the average score for those who reported two or more difficulties was 10.57. Using the Levene statistic, we obtain a p-value of 0.122, which is 2.109. Consequently, the null hypothesis cannot be disallowed since this value is larger than 0.05. F-statistic is 61.674, degrees of freedom equal 2,932, and p-value equals 0.00. The p-value of 0.000 is less than 0.05,

indicating that there is a statistically substantial difference between the levels of overall satisfaction of women in each group. In contrast, my analysis led me to conclude that there is no statistically compelling distinction between the groups' variances, supporting the hypothesis of homogeneity of variance. F (61.67) = .122, p = < .001. The result shows a statistically substantial variance between women belonging to each housing problem group based on a p-value of 0.000 below the critical value of 0.05. Using a one-way between-subjects ANOVA with overall satisfaction as the dependent variable and material well-being as the independent variable, housing problems were evaluated. A variance analysis found a substantial difference in happiness and material well-being between those with no housing difficulty, one housing issue, and two or more housing difficulties.; F (2,932) = 61.67, p < .001. When compared to the group with no housing problems, the group with one housing problem had a mean of 11.97 and a standard deviation of 2.588, while the group without housing problems had a mean of 12.71 and a standard deviation of 2.353. Accordingly, the group without housing problems had a significantly higher mean than the group with one housing problem since the p-value was 0.001. Based on the comparison between the group without housing problems (mean: 12.71, SD: 2.353) and the group with two or more housing problems, I found a p-value of 0.000 0.05. Therefore, it is concluded that the group without housing problems had a higher mean than the group with two or more housing problems