Cross-Tabulation Paper

This scenario illustrated in the textbook uses two different variables utilizing the cross-tabulation method with percentages (Cooper & Schindler, 2014, pp. 419-420). When cross-tabulation is implemented in research methods, data can be gleaned from a multitude of statistics in an easy to read and interpret form for managers and analysts to make business decisions (Yin, Hirokawa, Yau, Hashimoto, Tabata, & Nakatoh, 2013, p. 31). With equal numbers of surveys sent out to both working/middle class and appeal letters A and B, the results were tabulated with the two outcomes. The outcomes were either they contributed or they chose not to donate which were indicated with percentages. To answer the question, which appeal is the best, the table indicates appeal A had the best response. Appeal A had a higher percentage of total people that contributed. Additionally, when you analyze the individual percentages for appeal A, both working class and middle class had at least a five percent advantage over appeal letter B. There are some …show more content…
The is displayed by a ten percent increase in donation response over letter B, whereas the middle class only had a five percent increase from letter B to A. Is appeal or social class a more powerful independent variable? Analyzing the table more closely, you can determine that the appeal letter is a more powerful variable. Not only did the percentage in each class go up, when both classes are combined, the total contribution went up from forty five percent to a total of sixty percent of letters with donations. The once weakness of this survey that is not indicated is the dollar value of donations, which could mislead a manager or analyst. If the total dollar amount contributed by the middle class was greater, with a lower percentage giving, appealing to more of the middle class might be a better return on time and money