Hi there,
I was wondering what one would make of a positive correlation between to variables that do not make theoretical sense in my sample. For example, more positive attitudes toward people affected by mental health issues with *higher* levels of stigma toward mental illness.
The literature, comparison studies, and theoretical and common sense all point to the fact that a negative relationship should instead exist (more positive attitudes toward people affected by mental health issues with **lower** levels of stigma toward mental illness [i.e., a negatively valued stigma score statistic]).
All assumptions have been tested, the measurement tool is valid and reliable. I am failing to understand what could be happening here. Does anyone have an idea or literature that I could refer to?
Thanking you in advance.