Differences Between Experimental, Quasi, and Non-Experimental Research.
A misconception exists concerning research that non-empirical research is not scientific. That necessitates the understanding of experimental and non-experimental studies. Experimental research is a quantitative research method that involves two variables where the first one acts as a constant used to determine how it differs from the second
set. It includes gathering enough factual scientific data to determine the decisions. In a quasi-experimental design, a control group or variable is chosen to be manipulated and not
randomized. Non-experimental research focuses solely on observation, interaction, and
interpretation. It is different in that variables are randomly selected and not influenced, and thus people do not consider it a scientific method.
Conditions to Meet Cause and Effect with Typical Weaknesses.
Identifying causal relationships is a fundamental research goal by illustrating the effect of independent variables on dependent variables. The cause is an independent variable, while the effect is dependent on the cause. The causal
relationship is an essential goal in determining the variables. The first condition to establish the association between cause and effect. That implies that there must be a relationship between the
two variables. The other requirement is temporal precedence, which considers the time order of
the variables. The independent variable, the cause, should precede the
effect, the dependent variable. The third condition is spuriousness, which can occur
when a third variable causes the association between the two variables. The
cause and effect can experience weakness in that the researcher can face a challenge in
determining the exact variables. Several variables could be causal agents to the different
effects; hence one can question the spuriousness and association.