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  1. L

    I'm at a dead end!!

    I fully respect your decision. Thank you once again for your support so far. It helped me sort some things out.
  2. L

    I'm at a dead end!!

    @Karabiner , he showed me the process described below. Analyse / Regression / Linear / Add Dependent variable / Add the other predictors in block 1 [(they are 22 in total*, continuous and nominal, even non bivariate**)] / Choose method Stepwise / Add Religiosity (my main independent variable)...
  3. L

    I'm at a dead end!!

    Thank you for your answers and sorry for taking this long to answer back, I was travelling yesterday. @Karabiner, I am not familiar with MAN(C)OVA. Yet, I am familiar with ANCOVA and when I presented it to my Professor he replied that ANCOVA is "bad statistics" and he recommended that I use...
  4. L

    I'm at a dead end!!

    Thank you for your answer, @Karabiner! All of them are Likert scales. Each one consists of 3 to 10 Likert-type items which were summed to provide a single score. The 4 physical adjustment variables (internal, external, physical and general) come from a single questionnaire and I think they...
  5. L

    I'm at a dead end!!

    Thank you for your answer, @katxt! I correlated my IV with my 7 DVs seperately. That is Religiosity - Physical adjustment 1, Religiosity - Physical adjustment 2, ..., Religiosity - Mental adjustment 3. Look here. I couldn't find a Bonferroni criteria in the SPSS analyse / correlate / bivariate...
  6. L

    I'm at a dead end!!

    Thank you for your answer @hlsmith! Yes, I've got 1 predictor (religiosity), independent variable (IV) as we use to call it, and 7 dependent variables (DV), meaning 7 aspects that I expect to be affected by my predictor. Specifically, I'm testing if religiosity helps physical (4 variables) and...
  7. L

    I'm at a dead end!!

    Hello everyone I am an undergraduate psychology student and I'm facing lots of troubles with the statistic analysis. Firstly, I've got 1 independent variable and 7 depended ones and my data is not normally distributed. My main problem is that I don't know when and why to use a specific...