  Measures of association play a central role in the social sciences to
quantify the strength of a linear relationship between the variables of
interest. In many applications researchers can translate scientific
expectations to hypotheses with equality and/or order constraints on these
measures of association. In this paper a Bayes factor test is proposed for
testing multiple hypotheses with constraints on the measures of association
between ordinal and/or continuous variables, possibly after correcting for
certain covariates. This test can be used to obtain a direct answer to the
research question how much evidence there is in the data for a social science
theory relative to competing theories. The accompanying software package `BCT'
allows users to apply the methodology in an easy manner. An empirical
application from leisure studies about the associations between life, leisure
and relationship satisfaction and an application about the differences about
egalitarian justice beliefs across countries are used to illustrate the
methodology.
