Statistical Test?

I need to know what statistical tests to perform. My research questions are: What is the prevalence rate of single women with an anxiety, depressive disorder, or both? Does childbearing status influence the prevalence rate of the disorders in single women? My sample includes married women with children, married women without children, single women with children, and single women without children. Participants have completed the Beck anxiety inventory and the Beck depression inventory. Someone please help ASAP!

Let’s assume that you used the Becks’ Inventories to divide the women into two groups, those with anxiety disorder and those without and do the same for depression. Then the statistic you could use is chi-square. This is the simplest and most elegant solution. The result will tell you whether there are significant differences between the groups. Multiple chi-squares can be performed and you can use raw data to further analyze the data. Using multiple chi-squares does not cause a significant problem with degrees of freedom if the results are strong and the groups of different classes of women are equal (women with different child-bearing statuses).
A less elegant solution,and I think unnecessary one, would be to do multiple regression on each of the Inventory scores. If you really wanted to get even fancier, do Multivariate analysis of variance, but that is even less necessary, more complicated, and no one can make heads or tails of it, as would be the case with discriminant analysis and canonical analysis. But then maybe you are independently wealthy an have all the time in the world to stay in school, but remember, there is a time limit after which you have to take credits over!
If you can’t get good results with a chi-square, you probably don’t have significant results. Moreover, if all you want is a “prevalence rate” all you need is a percentage. It really looks like you are asking if anxiety and depression are more prevalent among single women as opposed to single women with children and married women with and without children.
If you were asking about number of symptoms, and you wanted to use the scores, you could look at a 2 X 2 anova (analysis of variance), one for anxiety and one for depression. To look at both anxiety and depression at the same time would require a MANOVA (Multiple Analysis of Variance), which is complicated and unnecessary.
If you wanted to do the equivalent of an ANOVA in a chi-square, you would do a Mann-Whitney U-test.
I think I confused you enough, but then your research question is unclear. What is the null hypothesis? That will tell you what you should do. A chi-square tells you if the proportions between groups is significantly different. An ANOVA would tell you is the scores between groups were significantly different.

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