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I'm trying to find a way to investigate whether religiosity correlates positively with helping other people, and whether this correlation is different depending on a 4-level manipulation (in my design, each participant was randomly assigned to 1 of the 4 conditions). So far the most "elegant" solution in SPSS I found is to split the data into 4 conditions, and investigate the correlations between religiosity and helping separately in those conditions. Is there a better solution in SPSS (e.g. within a single model)?

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  • $\begingroup$ How about a linear model with a categorical variable? $\endgroup$ – user2974951 Sep 12 '18 at 11:07
  • $\begingroup$ Thanks! However, but I don't know any other way to do that except for dummy coding the categorical variable. In that case I am not sure how to get individual betas of religiosity-helping link, separately for each condition. Any ideas? $\endgroup$ – phil Sep 12 '18 at 12:37
  • $\begingroup$ I don't know SPSS so I can't help you there, but as far as I understand, within r you would solve this with lm(altruism~religiosity*condition). $\endgroup$ – user2974951 Sep 12 '18 at 12:46
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Questions about coding are off topic here, but you can multiply the dummy variables for religion with the continuous moderator.

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