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Hello statistic-community :wave:

My sample size is approx. 1.500. I have different variables (A, B, C, D) which are all ordinal scaled. I have another variable (Z) which is ordinal scaled, too.

Is it - in a statistical sense - correct, to calculate the Spearman's ρ with SPSS for each relationship - (1) A & Z, (2) B & Z, (3) C & Z and so on - and compare these values subsequently, to get information about: Which relationship ist smaller, which ist stronger?

Maybe using the Fisher Z-transformation afterwards to look, whether the differences are significant?

Possible result: None of the relationships differs significantly from another one but (1) is slightly stronger than (2) but not as strong as (3)? Is that a conclusion, which makes sense? Or are there any statistical errors that block this conclusion?

Thanks very much in advance.

greetings

gentix

My sample size is approx. 1.500. I have different variables (A, B, C, D) which are all ordinal scaled. I have another variable (Z) which is ordinal scaled, too.

Is it - in a statistical sense - correct, to calculate the Spearman's ρ with SPSS for each relationship - (1) A & Z, (2) B & Z, (3) C & Z and so on - and compare these values subsequently, to get information about: Which relationship ist smaller, which ist stronger?

Maybe using the Fisher Z-transformation afterwards to look, whether the differences are significant?

Possible result: None of the relationships differs significantly from another one but (1) is slightly stronger than (2) but not as strong as (3)? Is that a conclusion, which makes sense? Or are there any statistical errors that block this conclusion?

Thanks very much in advance.

greetings

gentix

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