why research variables are important?

Research variables importance

(a measurement prescriptive!)

Besides the other important roles that variables play in a research project (such as defining, developing, and refining the hypothesis, data entry and analysis, and results), the research variables are important tool for researchers to study relationships between variables themselves (e. g. for exploring further relations, or advancing studies). They are entity in research experiments and testing observations (for example, and in an experiment study, researchers observe a dependent variable “criterion” to determine if the cause and effect was made because of a specific change in an independent variable “predictor”). So, why research variables are important? I believe is the simple answer is that if you have an unmarked ruler; you will not be able to measure, and so for the variables. Therefore, the research variables are constructs that carry a numeral or values (they are not the ruler) for researchers to test correlation and measure(measure the indicants). Research variable are important to measure the values of these variables to test the hypothesis and develop the results.

Research variables challenges

Identifying the right variables related to the study! Research variable are constructs, and constructs are objects (just like in O.O programming), and the objects have properties. When objects, like “lifestyle” for instance where inference is required, hard to identify their properties, are considered a challenge to measure that specific variable and a challenge to the quality of the study.

Reference:

Cooper, D. R., and Schindler, P. S., "Business Research Methods". 10th Edition.

2008. McGraw-Hill/Irwin. ISBN: 978-0-07-340175-1