# data[].attributes.body
Mann Whitney Test
Independent groups design
Test of difference between the conditions
Unrelated
Ordinal data

# data[].attributes.body
when both tests produce similar results. use an already established test.

# data[].attributes.body
when a study has a high level of concurrent validity, it means that there has been a high level of agreement between two methods of testing.

# data[].attributes.body
significant result as 3 is more than 1 at p=0.05

# data[].attributes.headline
would N= 8 because there's 2 times where the result is 0 in the first table

# data[].attributes.subject
would N= 8 because there's 2 times where the result is 0 in the first table

# data[].attributes.headline
where there's an agreement between two different tests

# data[].attributes.subject
where there's an agreement between two different tests

# data[].attributes.body
researcher bias if they knew who was in each group, they could have already preempted the results
??

# data[].attributes.body
researcher bias - the research may consciously or not perceive the data depending on what pre-conceived ideas they have on what the research should conclude. this decreases the internal validity

# data[].attributes.body
there could be researcher bias, which could lower internal validity of the study

# data[].attributes.body
students randomly assigned without the researchers knowledge before hand to avoid the researcher bias

# data[].attributes.body
double blind procedure