Limitations are elements the researcher cannot control. Delimitations are controllable. Delimitations are endless, but it seems like most of us could encounter these limitations.
1. Points on the Likert scale: With five points (or any odd number), your evaluator can choose the “NA” or “No Opinion” option, limiting your data. Although I suppose no opinion tells you something without telling you something. An even number of points on the Likert scale forces your evaluator to choose a side and could polarize your data. Either way, a limitation, right?
2. Survey respondents: The people responding to your survey may (probably) already have some familiarity with you, your program, or at least your educational hopes and dreams. Doesn’t this skew things? My respondents are people who are getting free stuff from me, and I’m not the only one who has done this. Even the National Science Foundation has to determine not only the incentive, but also the best timing and whether to award monetary or nonmonetary incentives to increase survey response rates.
3. Correlation versus causation: No matter what, your data will be limited in the simple fact that despite how highly variables correlate, no causation between said variables can be determined. This must have driven Joseph Lister really crazy.
4. Researcher bias: By now, we have all written, published, or taught others about the area we are researching. It is hard to imagine that we don’t have a stake in how our efforts will all pan out at the end of the research study. If my program measures “no change”, can I be okay with that? Well, further research would be needed… simple as that.