I have run a 2x2 between-subjects experiment, with event valence (positive vs. negative) and duration of the event (long vs. short). My dependent variables in this experiment are online support seeking intention on site A and online support seeking intention on site B. The measurements of both dependent variables are adapted from the same scale. In other words, the questions regarding intention on site A and B are identical. The only difference is the sites’ names.
I want to test that when the event is positive, whether the individuals’ online support seeking intention on site A and B would be significantly different. Can I actually test this by using SPSS? And how can I test so?
Answers, comments and suggestions are much appreciated.
This sounds like you're not really testing two dependent variables, but rather one dependent variable (support seeking intention) at two levels (A and B) of one independent variable (site). So you just add that independent variable to your ANOVA.
I am suggest Binary or Logistic Regression to. But the conditions must be investigated. If the positive and negative value assumed by different estimation function. so must use local likelihood estimation methods to estimate effect of A and B. but if negative value have not mention, you can filter those in SPSS and estimate effects coefficients by common regression
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