What is the best test to compare 3 or more categorical variables in SPSS?

Hello, thanks in advance for help with what I suspect is a simple query but it's beating me.

E.g. from the cohort (3 groups) x%, y% & z% took the tube to work, is there a statistical difference between groups?

I know I could dichotomise the responses into those who did and didn't and use a Chi Square but that doesn't tell me if there was a difference between groups in those that do - or am I misunderstanding the interpretation?

Hello - I'm trying to figure out which is the best statistical test to use for the data set that I have.

I have data from 3 distinct sample groups, and categorical variables within the data set (same variables for each sample group).

So for example, I have 3 groups and I want to see if there is a difference between participation of a program feature (categorical variable, yes/ no response) between the 3 groups. Which would be the best statistical test to use in SPSS?

Another type of statistical test I'm looking to do is if there is a gender difference in program participation and then compare between groups. For example, males vs females participating in a program feature and then compare across the 3 sample groups to determine if there is a difference in participation.

Thanks!

I have a data set with many nominal categorical variables. How do I compare them. For example. Male is 1 and female is 2. Disease A is 1, Disease B is 2 and Disease C is 3. Likewise, there are many other categorical groups which needs to be compared with disease group. Is there any other way except Chi-square test and Fischer exact test? Is there a way to create a model with multivariate analysis? Thank you for your response.

I want to apply statistical test for a before-after study and my variables of interest have more than two category.

I want to analyze if there is a statistically significant difference in prevalence (binary outcome) between 3+ groups (eg: difference in smoking rate between 3 income groups).

I have so far found out that any of the following analysis can be used to compare binary outcomes of 3+ groups.

 -chi squared test of independence

 -(bivariate) pearson correlation analysis

 -Kruskal Wallis

 -Bonferroni

How do i know which one to use? Would the interpretation of outcome be different for each analysis? 

Thank you so much in advance for your kindness to read my question!!

I have a population of animals that were categorised into 3 groups (beginning, continuous and later). The assignment to each of the groups results from intrinsic characteristics and not by chance (e.g. -sorting a population by female, male and other - a certain individual does not end up into the group female by chance, it will end up there if it is indeed a female and not on the others). This is also not the result of a sampling method, it is more like a census. The number of individuals that ended up assigned to each of these groups is different. How do I test that these differences among them are significant? Do I use a test of proportions? I guess, assuming that without any difference among the groups, each would have a 3rd of the total (population). Or do I even have to make a statistical test? Descriptive statistic suficies?

*Example

Beginning: 27

Continuous: 13

Later: 4

Thank you

1.For example there are 3 groups taking different medication and I want to assess how well they sleep while taking this medication.

I have I have the categories: excellent, good, intermediate, poor, very poor and I want to see if there is a difference between the 3 groups.

I was thinking maybe a Kruskal- Wallis test but am not sure if i'm overthinking it as its three groups?

2. Also if I have the same scenario but my data is continuous should I use one-way ANOVA or can I use a T-test between each of the 3 groups?

Thank you

Sophie

I need graphpad prism software to analyse my elisa data. I would truly appreciate if anyone can share with me

Hi I am struggling with statistics right now.

Does any one know how to compare the proportion of three categorical variables between two groups(SPSS)?

I am now making a demographic data table for paper, have two groups of patients, and there are three categorical variables of etiology of disease which is D, E, and F.

Group A = D(8) E(9) F(0)

Group B = D(49) E(9) F(4)

I would definitely use chi square test or fisher's if it has two variables( 2x2),

but do not really know if it is three like in this case.

I would be most grateful if anyone could help on this issue.

I am using SPSS for stats!

Thanks