Fakis, A., Hilliam, R., Stoneley, H., & Townend, M. (2014). Quantitative analysis of qualitative information from interviews: A systematic literature review. Journal of Mixed Methods Research, 8(2), 139–161. https://doi.org/10.1177/1558689813495111

Fakis et al. (2014) identify a range of inappropriate statistical and related practices in a review of articles in which codes in interview data had been counted or quantified for statistical analysis.

Mark Tranmer, M., Murphy, J., Elliot, M., & Pampaka, M. (2025). Multiple linear regression. National Centre for Research Methods online learning resource. Available at https://www.ncrm.ac.uk/resources/online/all/?id=20848 [accessed: 26 November 2025]

This tutorial explains the application of multiple linear regression to examine the influence of multiple independent variables on a single dependent variable. It draws on examples from the social sciences to demonstrate its utility in real-world scenarios.