Using SPSS to conduct a statistical analysis. I am currently conducting research

Question

Using SPSS to conduct a statistical analysis.

I am currently conducting research and I am unfamiliar with SPSS database. I have not used it since my undergraduate studies. If it is possible to direct me on what statistical analysis I should use for the following questions:

(1) Comparing HPV disease (no/yes) to HPV vaccine (no/yes)

(2) Comparing HPV vaccine (no/yes) to Genders (male/female)

(3) Comparing Female (Gender: male/female) to Cervical Cancer

(4) Comparing Males (Gender: male/female) to Penile Cancer

(5) Comparing Race (0-White, 1-Hispanic, 2-African American, 3-Asian American, 4-Native American and 5-Other) to HPV vaccine

(6) Comparing Race (0-White, 1-Hispanic, 2-African American, 3-Asian American, 4-Native American and 5-Other) to HPV disease

*** Research Question: This study seeks to understand how the HPV virus progresses into    cancer and effects the human reproductive system.

Explanation / Answer

(1) Comparing HPV disease (no/yes) to HPV vaccine (no/yes)

For comparing HPV disease (no/yes) to HPV vaccine (no/yes), both variables are categorical variables and both variables have two categories. The level of variables is used as nominal level of measurements. Data does not include the ratio or interval level so we can’t use any parametric test for comparison purpose. So, for comparing above two variables we need to use Chi square test for independence of two categorical variables. Also, for finding the relationship between these two variables, we can use coefficient of association.

(2) Comparing HPV vaccine (no/yes) to Genders (male/female)

As discussed in the above comparison, we should use the same technique here. For the given two variables HPV vaccine (no/yes) to Genders (male/female), the nominal levels of measurements are used. Both variables are categorical variables and that’s why we need to use Chi square test for independence of two categorical variables and coefficient of association.

(3) Comparing Female (Gender: male/female) to Cervical Cancer

For comparing female to cervical cancer, we can use hypothesis test if the variable cervical cancer have ratio scale of measurement. If there is lack of ratio scale, then we can use other qualitative techniques for analysis.

(4) Comparing Males (Gender: male/female) to Penile Cancer

For comparing Males to Penile cancer, we can use hypothesis test if the variable Penile cancer have ratio scale of measurement. If there is lack of ratio scale, then we can use other qualitative techniques for analysis.

(5) Comparing Race (0-White, 1-Hispanic, 2-African American, 3-Asian American, 4-Native American and 5-Other) to HPV vaccine

If the variable HPV vaccine has ratio scale, then we can compare the given races by using the one way analysis of variance or ANOVA test. There are more than two levels we need to compare.

(6) Comparing Race (0-White, 1-Hispanic, 2-African American, 3-Asian American, 4-Native American and 5-Other) to HPV disease

As discussed above, here we have to use same technique for the comparison of the races for HPV disease. We can compare the given races by using the one way analysis of variance or ANOVA test.

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