Apart from using the CASP tool, which I can only get to review articles with qualitative studies, I am looking to review articles that equally use quantitative methodology for their research
In mixed methodology research, where both qualitative and quantitative data are collected, the choice of the best data analysis tool depends on the specific needs of your study, the complexity of the data, and the nature of the analysis you intend to conduct. There is no one-size-fits-all tool; however, some software packages are particularly well-suited to handle mixed methods research by offering robust features for both qualitative and quantitative analysis. Here are a few notable ones:
NVivo: NVivo is highly regarded in the research community for its ability to analyze qualitative data, including text, video, audio, and images. It also has features that allow for basic quantitative analysis, making it a good choice for mixed methods research. NVivo supports the coding process, helps identify themes and patterns, and can work with data from surveys, interviews, focus groups, and social media.
SPSS (Statistical Package for the Social Sciences): While SPSS is predominantly known for its quantitative analysis capabilities, including descriptive statistics, correlation, regression, and advanced statistical testing, it can also be used for basic qualitative data analysis through open-ended survey responses or coding textual data for quantitative analysis. SPSS is user-friendly and widely used in social sciences.
MAXQDA: MAXQDA is another powerful tool for qualitative and mixed methods research. It supports a wide range of data types, including text, images, audio, and video files, and allows for the quantitative analysis of qualitative data. It has features for coding, content analysis, and supports mixed methods strategies such as qualitative comparative analysis and integrated data analysis.
Dedoose: Dedoose is designed specifically for mixed methods research. It is a web-based application that offers robust tools for both qualitative and quantitative analysis, including text analysis, coding, and the ability to create complex mixed methods data visualizations. Dedoose is particularly noted for its user-friendly interface and affordability.
Atlas.ti: Atlas.ti provides powerful tools for qualitative data analysis, with some capabilities for integrating quantitative data analysis, making it another suitable choice for mixed methods research. It supports a wide variety of data formats and is useful for coding, content analysis, and data visualization.
You could look at the Mixed Methods Appraisal Tool.
Hong, Q. et al. (2019). Improving the content validity of the mixed methods appraisal tool: a modified e-Delphi study. Journal of clinical epidemiology, 111, 49-59.
For a mixed methodology research study, where you're using both qualitative and quantitative data, it's essential to choose a data analysis tool that can handle both types effectively. One such tool that's beginner-friendly is NVivo. NVivo is great for this kind of study because:
Integration of Qualitative and Quantitative Data
NVivo allows you to import and analyze both types of data in one place. You can analyze interview transcripts, surveys, documents, and even datasets seamlessly.
Organizational Tools
It helps you organize your data efficiently. You can code qualitative data (like interview transcripts) to identify themes or patterns, and you can also use it to organize and categorize quantitative data (like survey responses).
Visualizations
NVivo offers various visualization options. You can create charts, graphs, and diagrams to present your findings effectively, whether they're from qualitative or quantitative data.
Flexibility
It's user-friendly and flexible, making it suitable for beginner researchers. You don't need advanced technical skills to start using NVivo, but it still offers powerful features for in-depth analysis.
Support and Resources
NVivo provides tutorials, guides, and online support forums to help beginner researchers get started and troubleshoot any issues they encounter along the way.
Overall, NVivo is a versatile tool that can streamline the data analysis process for mixed methodology research studies, making it a solid choice for postgraduate researchers looking to conduct comprehensive analyses.