Expectancy-value beliefs optimize mathematics achievement and learning strategy use: a bifactor approach (Las creencias sobre los valores y las expectativas optimizan el rendimiento matemático y el uso de estrategias de aprendizaje: un enfoque bifactorial)

Abstract

ABSTRACT Expectancy-value theory mostly focuses on how expectancy and value beliefs are associated with academic achievement. Both expectancy and value beliefs are multidimensional and can be further decomposed into general and specific factors. However, few studies have explored the associations of these general and specific factors with academic achievement and learning strategy use. This study aimed to investigate the bifactor structure of expectancy and value beliefs and investigate the linkages between general and specific expectancy-value factors and mathematics achievement and learning strategy use. Based on the expectancy and value dimensions measured by the Motivated Strategies for Learning Questionnaire (MSLQ), bifactor models were used to analyse the data collected from 563 senior secondary school students in China. Three key findings emerged: (1) both expectancy and value beliefs could be disentangled into general and specific factors; (2) general factors were significantly associated with mathematics achievement and learning strategy use; and (3) the specific factors were positively associated with mathematics learning strategy use but not mathematics achievement. Methodological and practical implications are discussed.