Search

In setting a new direction for the field by highlighting the importance of measure development, this article offers an original approach to modeling financial literacy, in which theories of situated learning meet self-efficacy: an approach that we claim fits well with the aims of program evaluation. It presents results from the validation of a new set of measures, intended for use with 16- to 19-year-olds, of financial literacy self-efficacy pertaining to contexts such as the classroom or the everyday activity of personal banking. Self-efficacy implies a domain in which confidence is measured specific to that context--in this case financial literacy. The data were collected in the United Kingdom from high school and college students enrolled in an optional certificate course in personal financial management. The measures were validated on a subset (n = 171) of a larger sample and was an off-shoot project of a larger 3-year evaluation study of the financial literacy certificate course (n = 2,000), which provided additional mixed-methods data used in validation. Correlation analysis supports the contention--incorporated within the framework presented--that self-efficacy is context-specific and so measures of self-efficacy must adequately reflect the contexts in which the associated literacies reside.

A novel approach to integrating Cluster Analysis (CA) within qualitative inquiry is presented, grounded in a large, unstructured dataset from open and rather unstructured interviews. This dataset was previously subjected to typical (theory sensitive) thematic analyses. Transformed into quantitative binary matrix structures, the CA offers robustness and transparency as it systematically exhausts the whole dataset in a replicable procedure. However, then the transformation becomes bi-directional, as resulting clusters provoke new qualitative interpretations and even further quantitative analyses. This approach led to theoretically interpretable results that significantly extended previous understandings of relations between 'values' and 'learning approach' relating to mathematics learner identity. This integrated methodology is evaluated for its significance to the substantive field, but is discussed more widely for social science research drawing on such interview datasets in general.