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Measures of association play a central role in the social sciences toquantify the strength of a linear relationship between the variables ofinterest. In many applications researchers can translate scientificexpectations to hypotheses with equality and/or order constraints on thesemeasures of association. In this paper a Bayes factor test is proposed fortesting multiple hypotheses with constraints on the measures of associationbetween ordinal and/or continuous variables, possibly after correcting forcertain covariates. This test can be used to obtain a direct answer to theresearch question how much evidence there is in the data for a social sciencetheory relative to competing theories. The accompanying software package `BCT'allows users to apply the methodology in an easy manner. An empiricalapplication from leisure studies about the associations between life, leisureand relationship satisfaction and an application about the differences aboutegalitarian justice beliefs across countries are used to illustrate themethodology.

Bayes factor testing of equality and order constraints on measures of association in social research