The dataset was collected using a mixed-methods approach within a concurrent triangulation design. This methodology allowed for the simultaneous collection and analysis of both quantitative and qualitative data, enhancing the validity and reliability of the results and findings.
Techniques Used:
Surveys: Administered to participants as the primary data collection method. The surveys were designed to capture a wide range of information, incorporating both closed-ended questions for quantitative data and open-ended questions for qualitative insights.
Data Analysis: The data set is stored in an SPSS (Statistical Package for Social Sciences)file, which includes both quantitative data (variable type = numeric) and qualitative data (variable type = string). SPSS version 29 was used for analyzing the data, ensuring robust statistical analysis and thematic coding of qualitative responses.
Sample Size and Demographics:
The dataset includes responses from 200 participants, with demographics covering age, gender, and location to provide a comprehensive understanding of the sample population.
All identifying information has been removed from the dataset to protect participant confidentiality. The study was conducted in accordance with legal and ethical standards of the university.