2.4 Data Analysis Methodology

2.4 Data Analysis Methodology

This analysis employed a multiple method research methodology involving both quantitative and qualitative analysis. This research uses a cross-sectional design employing a multiple method research methodology involving both quantitative and qualitative data and analysis.

Quantitative

Microsoft Excel was used to perform basic quantitative analysis of the closed-ended survey questions. Pivot tables and excel formula were used where needed to provide frequency and average statistical results. The quantitative methodology was fundamental to understanding the demographic profile of the respondents and the response rates to the questions.

Qualitative

NVivo 10 and Excel were used for the qualitative data analysis of open-ended questions. This software allows qualitative content (such as open-ended questions) to be inputted and thematically analysed. Its functionality was used to code sections of text from the open-ended survey questions with open codes and categories. These were then refined using a reflexive qualitative approach.

Data Organization

The data from each of the five surveys was organised into separate Beaver Scout, Cub Scout, Scout, Venture Scout and Rover Scout Excel files. In addition, the data from each of the Beaver and Cub Scout Poster Survey was inputted into separate Excel file. Quantitative analysis was done using Excel formulae with the results being outputted within the Excel files.