Concept Definitions
Action research focuses on developing solutions for specific real-life problems, which requires the collection of various data. It requires the researchers to pay special attention to ensure the validity and reliability of the data. Validity refers to the ability of the data to measure the phenomenon that it is aimed to measure accurately. Reliability defines the consistency of the results over time and with the application of different instruments.
Ensuring Validity and Reliability of Action Research
Problem Definition
The first step to ensure validity and reliability is to clearly define the research question and the problem that is being solved. This will help the researcher collect the most appropriate data (Coleman, 2022). For example, a research question should state the issue identified and define the outcomes that the issue has on the overall performance.
Appropriate Method Selection
Additionally, it is critical to use valid and reliable research methods that are suitable for the problem (Coleman, 2022). For example, when studying the perceptions of the situation by employees, it is essential to develop standardized surveys that are validated for the population and do not contain bias.
Transparent Data Collection
The transparency of data and data collection methods plays an important role in validity and reliability. The researchers should document the process of research, data collection, and analysis.
Result Publication
It is also necessary to make all the results available to the public in order to avoid any bias (Coleman, 2022). Other researchers will be able to replicate the research in the future, which will test the reliability of the data. For example, a company implements action research and finds a solution for a specific problem. The results are shared, and other companies can implement the same methods and improve them over time.
Result Testing
Finally, it is vital to test the results of the research in order to spot any bias involved. For example, data analysis may be affected by the researcher’s interpretation. Therefore, it is crucial to involve several independent experts in the data analysis.
Reference
Coleman, P. (2022). Validity and reliability within qualitative research in the caring sciences. International Journal of Caring Sciences, 14(3), 2041-2045.