what stats to use for:
1. 3 metric dependent variables measured on one group of people in two conditions to see if the conditions effect the 3 metric variables (repeated-measures ANOVA?)
2. 1 metric dependent variable change measured on one group of people in two conditions to see if the conditions effect the variable change
3. testing to see if the results of the 3 metric variables significantly influence the 1 metric dependent variable change
1. Go to the Menu bar, choose Analyze\Compare Means\One-way ANOVA. 2. In the left box, all your variables are displayed. You choose the variable you want to have as your dependent variable and transfer it to the box called Dependent list. 3. You also choose the variable you want as your independent variable and transfer it to the box called Factor. 4. Go to the box Option. Tick the boxes called Descriptive, Homogeneity of variance test, Brown-Forsythe, Welch and Means Plot. 5. Click on Continue and then on OK.
If I understood the case correctly, I think the first two senarios can be analyzed using a one way ANOVA. The third one seems to be either correlation (if the two dependent variables are independent of each other) or a regression if the two one depends on the other.
Assumptions of regression analysis can be cehcked from the internet or statistics text books.
what stats to use for:1. 3 metric dependent variables measured on one group of people in two conditions to see if the conditions effect the 3 metric variables (repeated-measures ANOVA?)
If the three dependant variables are some what correlated then you can make then as conposite variable using Manova
2. 1 metric dependent variable change measured on one group of people in two conditions to see if the conditions effect the variable change
Anova
testing to see if the results of the 3 metric variables significantly influence the 1 metric dependent variable change
regression should be fine
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