Hello right now I am dealing with the studies of C.Daniel Batson, who provided several studies and experiments to reveal moral hypocrisy. I think that I understand the basic idea of his theory, however I am not really able to interpret his statistic outcomes.
I do not know if some of you have access to the full text, but the study is listed under the title:
In a very different voice: Unmasking moral hypocrisy. Batson, C. Daniel; Kobrynowicz, Diane; Dinnerstein, Jessica L.; Kampf, Hannah C.; Wilson, Angela D. Journal of Personality and Social Psychology, Vol 72(6), Jun 1997, 1335-1348
However, I will provide some relevant excerpts in the form of pictures for better comprehension towards my question.
In this part Batson et. al. presents his results and compare them through the previously measured responsibility measures indexes. The confusing part starts from the yellow lined part. I do not really understand what does he mean by coding?
Furthermore, he mentions that only one of this applied measures correlated with the results and provides the result r(18)=0,39, p< 0,05 (blue lined). This is the core of my real problem. First of all I do not really understand what does the r(18) mean? I think it has something to do with a normal distribution right? Moreover, I have no idea how to read the 0,39 in a clear way. Does it mean that 39% of the results actually are coherent with the previously applied measurement indexes of moral responsibility? In the end I also struggle to interpret the p-vale of 0,05. Does it mean that the value (0,39) would be theoretically rejected, if it would be below 0,05?
To demonstrate the full results I also provide you the second excerpt:
I really struggling to understand this notations. The worst thing is that it is not explained in the whole text, how these numbers have to be interpret. I also read several other psychological texts, which have very similar expressions.
I hope that my question is somehow understandable, because it is very difficult to ask this question, if nobody has an access to the full text. I would be extremely grateful, if someone could help me.