Common Pitfalls of Primary Research
Primary research involves collecting data about a given subject directly from the real world. This section includes information on what primary research is, how to get started, ethics involved with primary research and different types of research you can do. It includes details about interviews, surveys, observations, and analysis.
Contributors:Dana Lynn Driscoll, Allen Brizee
Last Edited: 2014-08-28 10:23:12
There are a few issues that researchers must confront all of the time. Here are some of the most common ones:
Over generalizing your results
It is impossible to make sweeping generalizations about groups of people based solely on a few interviews, observations, or surveys. You can find general patterns or trends, but should never assume that what you have found is what exists or what will always exist. In fact, it is hard to make concrete generalizations about any occurrence that relates to people because people themselves are dynamic and situations are always changing.
If you create a biased survey or ask biased questions, you’ll get biased results. See the "creating good survey and interview questions" section for tips on how to make your questions non-biased.
Correlation does not imply causation
Remember that just because two results have a relationship between them does not necessarily mean that one causes another to occur. For example, although video games and violent behaviors are shown to have a link, it has not been proven that video games cause violent behavior (instead, it could be that individuals who are predisposed toward violent activity are drawn to violent video games).
Not considering other related factors
It is very difficult to be able to study all the factors that relate to a specific group of people, an event, or an occurrence. Even so, if you do not include these factors within your primary research, they should still be considered when you begin to analyze your data. For example, if you are studying the parking issue on campus and look at the amount of cars being parked on campus vs. the student population, you are omitting other factors like the amount of commuter students, the number of faculty who drive, accessibility of public transportation, as well as many other factors.
Being able to know what data is valid
Some participants in your research may not take it seriously and will provide silly, inaccurate answers or engage in purposely aberrant behaviors. This most likely occurs with surveys that individuals complete but occasionally can occur during interviews or even with observations. These answers can throw off your entire research project, so it is very important that you examine your surveys or interviews for this type of erroneous information. If you find information that is highly questionable, it is best to not include it in your analysis of results.
Reported behavior vs. actual behavior
What people report as their behavior might not actually be how they behave. People will often report their own behavior in a more positive light than it may actually be. For example, if you are surveying college students about their study habits, they may report that they study for more hours than they actually do.