Discriminant Analysis Green and Salkind (2017) described discriminant analysis as a tool that can classify people into groups or distinguish groups from one another, based on a variety of measures. For instance, job applicants could be grouped based on a psychological profile test, school GPA, years of experience, and other factors. In this post I…
Two-Way Contingency Table Analysis Green and Salkind (2017) described a two-way contingency table analysis as a way to find if a statistical relationship between two variables exists. Bougie and Sekaran (2019) stated that a contingency table analysis only measures nominal or ordinal relationships. In this case, we analyzed the relationship between nominal and ordinal variables,…
Reliability and Validity Validity is the degree to which data is accurate. Reliability is a measure of how the results can be repeated (Northouse, 2019). For instance, if I am measuring my height and using a measuring tape made by a reputable company, and it is held against the ground without buckling, one could assume…
Reliable and Valid Measures: Ethics and Quantitative Business Research Validity is important because inaccurate information can cause devastation for those relying on it to make critical decisions. Reliability refers to how duplicatable findings are and the likelihood that they will occur again. Therefore, if a result is accurate and happens often, people can expect it…
Benefits of Quantitative Data Analysis: Quantitative Research and Social Entrepreneurship Santosh and Baral (2015) revealed how corporate social responsibility can be promoted by focusing on stakeholders rather than shareholders. Thus improving company culture, increasing positive benefit to the community while providing adequate revenue. Company leaders should perform the data analysis that shows the possibility of…