Observational research is also
known as field research. This is a type of research which describes the
non-experimental research, in this type of research an individual observes the
kind of behavior which is being displayed without performing any experiments. There
are several types of observational research and very type has its own strengths
and weaknesses. The types are discussed below on the extent of their part in an
experiment in controlled environmental conditions. Evaluation of observational
studies is done by calculating the percentage of occurrence of particular
activity in an experiment. The most common use of this kind of research is in
comparison of two studies and this is the reason it is common research
methodology among across individuals and observations (Smart, Peggs &
Burridge, 2013).
Observational
research is a common practice in fields like marketing and social sciences. It
is a practice of social sciences as it allows the observation of a phenomenon
in its original and natural state. This is the factor which separates the
observational research from the practical research as it involves the
artificial environment in which artificial environment is created and
conditions are induced and one or more factors are manipulated to observe the
change. It is normally divided into two sections; a) naturalistic observation
and b) participant observation. The archived researches and case studies have
special kind of observational research. Naturalistic observation is also known
as non-participant research as it does not involve any participants; it does
not possess any involvement of the researcher. In this only behaviors are
studied with respect to their natural exteriors which differ from the format of
experimental research which involves artificial setup and controlled
environment in a laboratory. Moreover another important aspect is that no
manipulation is required to do this kind of research. It allows the measurement
of the behavior. Somehow, it has some limitations which include the lack of
information that is causing the behavior. This result in doubtful conditions
that the representative data or phenomena are truly valid or not (Angrosino,
2007).