What are research quality issues in this study and how can this be overcomes?

Some potential research quality issues in this study may include:

1. Sampling bias: The study may have a limited sample size or may not be representative of the population being studied.

2. Measurement error: There may be inaccuracies in the measurement tools or methods used in the study.

3. Confounding variables: There may be other factors that are influencing the results of the study that are not being accounted for.

4. Lack of control group: Without a control group, it may be difficult to determine the true impact of the variables being studied.

To overcome these research quality issues, researchers can take the following steps:

1. Ensure a representative sample: Researchers can use random sampling techniques to ensure that the sample is representative of the population being studied.

2. Use reliable measurement tools: Researchers can use validated measurement tools and methods to minimize measurement error.

3. Control for confounding variables: Researchers can use statistical techniques such as regression analysis to control for confounding variables and isolate the effects of the variables being studied.

4. Include a control group: Researchers can include a control group in their study to compare the effects of the variables being studied to a group that is not exposed to them.

By addressing these research quality issues, researchers can improve the validity and reliability of their study results.