Ethics and Quantitative Business Research

Provide review of the following discussion with references. Reliable and Valid Measures Using reliable and valid measures can positively influence future research. On the other hand, by not utilizing a reliable and valid measure can demonstrate the opposite. According to (Golafshani, 2003), validity, reliability, falsifiability, generalizability, and reproducibility relates to quantitative research as the results should center on trustworthy information. Therefore addressing the key concerns mentioned above in a quantitative review may strengthen the research outcomes (Winter, 2000). In other words, when undergoing research, reliability and validity are some criteria upon which researchers should base their evaluation of the study. For researchers who engage in quantitative studies, the method employs experimental approaches and measures to test the hypothesis. While emphasizing the measurements and analysis of causal relationships between variables, the intent is to illustrate the meaning of quantitative research and the explanation of the social issues from an ethical point of view (Golafshani, 2003). Impact of Inappropriate Measures In terms of business leaders, using appropriate measures relate to making decisions on operational and strategic levels, which may have a significantly negative impact on the company (Johnson, 2007). While high data quality is important for business leaders success, it is just as crucial for researchers to provide appropriate measures within a study for further usage. Moreover, the implications of inappropriate measures carry negative effects on business users, economy, and social impacts according to Johnson (2007). For example, as business leaders, and communities utilize data and the information lacks appropriate measures, it becomes difficult to rely on the results. In such instances, the developments may further imply the lack of user acceptance of an initiative based on such measures (Johnson, 2007). Further, a novice researcher must understand and rigorously avoid common mistakes while using measurements such as: failing to determine and report an error of measurement methods, failing to specify the exact statistical assumptions made in the analysis, and failure to implement adequate bias control measures. Ethical Outcomes of Quantitative Research Ethical considerations in research are critical, and such standards help distinguish right and wrong according to Saunder et al. (2015). In this instance, ethics assist with determining the difference between what is acceptable and what is unacceptable behaviors regarding research. In other words, the integrity of the reliability and validity of the research findings rely heavily on ethical principles. Further, many agencies and professionals have adopted such quantitative techniques to outline behaviors as well as to guide the study. For example, honesty, objectively, respect for intellectual property, social responsibility, confidentially, and more. In regards to quantitative techniques, researchers must make a sound ethical judgment when researching to ensure that validity, reliability, and quality takes precedence over preconceived notions and assessments (Saunders et al., 2015). For instance, being honest means being fair and credible. On the other hand, not being honest might bring about fabrications or forgeries of data. While there have been considerable measures taken to strengthen scientific practices, examples of unethical research still exist in the previously recorded and present-day literature.

 

 

 

 

 

 

 

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