Common Mistakes in Research
The research process is fraught with problems and pitfalls, and novice researchers often find, after investing substantial amounts of time and effort into a research project, that their research questions were not sufficiently answered, or that the findings were not interesting enough, or that the research was not of 'acceptable' scientific quality. Such problems typically result in research papers being rejected by journals. Some of the more frequent mistakes are described below.
Insufficiently motivated research questions. Often times, we choose our 'pet' problems that are interesting to us but not to the scientific community at large, i.e., it does not generate new knowledge or insight about the phenomenon being investigated. Because the research process involves a significant investment of time and effort on the researcher's part, the researcher must be certain (and be able to convince others) that the research questions they seek to answer in fact deal with real problems (and not hypothetical problems) that affect a substantial portion of a population and has not been adequately addressed in prior research.
Pursuing research fads. Another common mistake
is pursuing 'popular' topics with limited shelf life. A typical
example is studying technologies or practices that are popular today. Because
research takes several years to complete and publish, it is possible that
popular interest in these fads may die down by the time the research is
completed and submitted for publication. A better strategy may be to study
'timeless' topics that have always persisted through the years.
Unresearchable problems. Some research problems
may not be answered adequately based on observed evidence alone, or
using currently accepted methods and procedures. Such problems are best
avoided. However, some unresearchable, ambiguously defined problems may be
modified or fine tuned into well-defined and useful researchable problems.
Favored research methods. Many researchers have
a tendency to recast a research problem so that it is amenable to
their favorite research method (e.g., survey research). This is an unfortunate
trend. Research methods should be chosen to best fit a research problem, and
not the other way around.
Blind data mining. Some researchers have
the tendency to collect data first (using instruments that are
already available), and then figure out what to do with it. Note that data
collection is only one step in a long and elaborate process of planning,
designing, and executing research. In fact, a series of other activities are
needed in a research process prior to data collection. If researchers jump into
data collection without such elaborate planning, the data collected will likely
be irrelevant, imperfect, or useless, and their data collection efforts may be
entirely wasted. An abundance of data cannot make up for deficits in research
planning and design, and particularly, for the lack of interesting research