The aim of this study was to investigate if polynomial regression and response surface methodology could be used to study the relationship between statements from interviews and scores from questionnaires. The questionnaire used in the study was the Organizational Climate Measure (OCM). The study used a concurrent mixed model design and the qualitative and quantitative strands of data were equally emphasized. Content analysis was used to make the data from interviews comparable to the questionnaires. The polynomial regression analyses could account for the relationship between interviews and questionnaires on 10 of the 17 scales of the OCM. An examination of the response surfaces showed that the technique could be used to examine both convergent and divergent results between the two strands of data.