Data Analysis Plans: A Blueprint for Success Using SAS

Limitations and Weaknesses

Summarize the limitations and weaknesses of the study. Some examples of limitations include a limited sample size or lack of reliable data such as self-reported data, missing data, and deficiencies in data measurements (such as a questionnaire item not asked that could have been used to address a specific issue). Assess the impact of these on the interpretation of the results. Indicate how future research studies might avoid these limitations and weaknesses. As analysis progresses, other limitations and weaknesses may become apparent and should be added to this section of the analysis plan. For example, a variable may not have been measured in the way you originally thought. Instead of gleaning the diagnosis of a ...