My data set consist of three dependent variables post-crisis reputation, post-crisis anger and post-crisis cpi which are measured after the treatment (post-test) but I also measured these variables before the treatment (pre-test). As my pretest variables (pre reputation, pre-anger, pre-cpi) also correlate with each other and with the post-test dependent variables, I was wondering if someone could give me advice on which multivariate pre-test post test technique I should use as I can't find any good sources or examples on the internet. Now, I used independent t-test gain score technique but I don't think that is the right method given the correlations between those variables.
Table 4: Correlation results | |||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | |
(1) Crisis strategy | 1 | ||||||||||||
(2) Pre-reputation | -.012 | 1 | |||||||||||
(3) Pre-anger | -.042 | -.453** | 1 | ||||||||||
(4) Pre-cpi | -.081 | .207* | -.405** | 1 | |||||||||
(5) Post-reputation | -.167 | .394** | -.064 | .135 | 1 | ||||||||
(6) Post-CPI | -.101 | .204* | -.176 | .622** | .444** | 1 | |||||||
(7) Post- anger | .102 | -.415** | .479** | -.305** | -.536** | -.311** | 1 | ||||||
(8) Crisis responsibility | -.036 | -.356** | .394** | -.221* | -.055 | -.084 | .274** | 1 | |||||
(9) Crisis involvement | -.194* | -.300** | .512** | -.254** | .015 | .012 | .258** | .251** | 1 | ||||
(10) Gender | -.040 | -.224* | .292** | -.059 | -.003 | .052 | .141 | .133 | .285** | 1 | |||
(11) Employment | -.148 | .101 | -.086 | -.011 | -.012 | .083 | .003 | -.100 | -.010 | -.322** | 1 | ||
(12) Age | -.089 | -.089 | -.105 | .069 | -.192* | .008 | -.005 | -.037 | -.095 | -.363** | .578** | 1 | |
(13) Prior reputation | -.065 | .276** | -.053 | .135 | .246* | .215* | -.282** | -.207* | -.061 | .035 | .018 | -.017 | 1 |
Thanks in advance!
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