They produce different research results and findings and this helps to draw conclusions and different responses to given studies.
The purpose of this study is to compare and contrast experimental and non-experimental quantitative research approaches. In order to complete this research, the following objectives are going to be explored:
Quantitative research is a systematic empirical investigation of a given social phenomenon and it employs various statistical and mathematical techniques to define the variables and measure them in order to draw a conclusion (Nykiel, 2012). Quantitative research is an empirical research that seeks to use mathematical and other statistical methods to evaluate a given research topic. Quantitative research involves the development of an appropriate method and an appropriate approach to study a given phenomenon.
Measurement is a distinct and unique aspect of quantitative research. This is because quantitative research involves finding ways and means to measure a given set of data objectively in order to draw a conclusion on the research variables (Carter & Thomas, 2010). This is done by formulating a hypothesis and evaluating the hypothesis through the observation of specific elements and aspects of interest (Macnee & McCabe, 2012). Therefore, there is the need for some kind of variables that can be numerically measured and analyzed in order to draw a conclusion on the subjects at hand and the matter being studied.
Therefore, quantitative research is an empirical observation and a mathematical expression of the relationship between the variables (Lodico, Spaulding, & Voegtle, 2012). The main approach that is used in quantitative research is to define a hypothesis and operationalize the research. Operationalization of a research is done through the definition of variables and putting the variables in a way and manner in which they can be measured and matched against each other.