How to measure change in emotional responses when pre and post tests use different measures? My research is to evaluate change of emotional responses of participants, after performing two types of game activities. Two groups of participants, Group A and Group B, will be assigned to Activity A and Activity B respectively. The research design does not cater for a control group.

I plan to measure the baseline emotions (using the Mood Questionnaire) [1] of all the participants. The arousal and valence components will be measured using the Self Assessment Manikin (SAM) questionnaire [2]

So now, I have pre-test responses from Mood Questionnaire (baseline emotional responses), and the post-test responses from SAM.

I am not sure how to proceed with the data from each instrument. For instance, how do I obtain a change in emotional responses from each subject? How do we normalize the baseline emotions in this case?

Mood Questionnaire available at
[1] https://www.metheval.uni-jena.de/mdbf.php

SAM questionnaire available at
[2] http://irtel.uni-mannheim.de/pxlab/demos/index_SAM.html
Normally, I'd recommend using the same mood measure pre and post manipulation. This allows you to assess the size and direction of change. It also likely removes more error variance from the post-test measure (which would increase statistical power), because using the same measure is likely to increase the correlation between pre and post.

That said, if you've used different measures pre and post, then you could perform an ANCOVA with group as independent variable, baseline mood as the covariate, and post-test mood as the dependent variable. 

A slight possibility is that you could  map scores on both tests to a common scale. This might allow you to make qualified claims about whether emotions increased or decreased. That said, this would require that you have access to additional data on people who completed both tests in a non-experimental context. You could then use the means and correlations between the two tests to develop a mapping to a common scale.