  The present study aims at exploring predictors influencing mathematics
performance. In particular, the research focuses on four subject components
such as motivation, attitude towards mathematics, learning style, and teaching
strategies. The study respondents have involved a sample of 240 students from
Agusan del Sur State College of Agriculture and Technology (ASSCAT). Path
analysis will be used to test the direct and indirect relations between the
predictors and mathematics performance. Based on the result, the calculation of
reproduced correlation through path decompositions and subsequent comparison to
the empirical correlation indicated that the path model fits the observed data.
Results also revealed that a large proportion of mathematics performance could
be predicted from the attitude towards mathematics, learning style, and
teaching strategies. Moreover, attitude towards mathematics, learning style,
and teaching strategies influence mathematics performance directly and
indirectly.
