1. Research Design:
The research design should be appropriate for the type of study being conducted and there should be a clear description of the methods used.
It should be clear what measures were used to collect data and whether they are reliable enough to draw valid conclusions from them.
3. Sample Size:
The sample size should be sufficient to draw meaningful conclusions from the results obtained by the study.
4. Data Analysis Techniques:
Different techniques such as descriptive statistics, inferential statistics, regression analysis, etc., can be used to analyze data collected from studies, so it is important to assess which technique was used and why this particular technique was selected over other techniques available.
All the results obtained from the study should be presented, interpreted, and discussed.
It is important to identify any potential limitations of the research design or data analysis techniques used which may have impacted the results or conclusions of the study.
The conclusions drawn from research findings should be justified based on evidence and there should not be any assumptions or speculation made about them.
Research studies need to be replicated for their results to be considered reliable and accurate, so it is important to check whether this has been done in the particular study being evaluated.