I have been asked to do the statistical analysis aspect on a mixed methods study that was supposed to follow a pre/post analysis method in regards to the quantitative aspect of it.

The hypothesis on the study is to assess:

1) If a leadership intervention had a statistical difference on two separate cohorts. The pre/post measurement is a questionnaire with two 7-point Likert sub scales. The two sub scales can be added up to create an 'overall' score per participant.

2) If a embedded learning intervention had a statistical difference on two separate cohorts. The pre/post measurement is a questionnaire that was developed by the researchers which comprises of 2 categorical data questions and 1 ordinal question.

I was brought onto the project after it was designed, funded and got ethics approval and just when data collection has started and the original analysis plan I was told it would be t-tests.

I have noticed the project doesn't administer participant IDs and when I asked "Why and how come?" was told that the data gathering sites would only allow completely anonymous data gathering. Worse still when data gathering was commenced the researchers designed the data gathering in a pre/post fashion.

Since no IDs were provided at all I have created my own system of tracking where every piece of data comes from and what stage of data gathering it is from just to be able to input it into SPSS.

So this no IDs issue raises two problems for me regarding analysis:

1) Due to not having participant IDs from the start I cannot link the pre/post measurements from Participant 1 PRE to Participant 1 POST etc. when entering it into SPSS (in a Participant column, PRE column and POST column) which doesn't allow me to conduct pre/post analysis due to violating the related group assumption and leads me to assume to treat the analysis as two independent samples.

2) Due to the data gathering following a pre/post method thus the groups not being independent samples which violates the independent groups assumption which in turn leads me to think that no pre/post AND no two independent sample analysis is possible regardless of if its parametric or non-parametric.

So my question is apart from means/median, standard deviation/standard error, and percentages are there any inferential statistics I could conduct to assess the effectiveness of the hypotheses? The measurement for Hypo 1 is parametric and the measurement for Hypo 2 is non-parametric with samples being unequal.

Many thanks in advance for any advice ye have to offer and hope it all makes sense.