Business research method - Essay Example

Business Method research Outline the steps needed to minimize these challenges: The challenges that occur are to determine whether the variables in a particular scenario occurred due to chance or other factors. In this case, it needs to consider the fact that there is a probability of event (E) occurring 0.04 times. This scenario, which raises a possible event of discrimination, “comes from a well-known study conducted by Benson Rosen and Thomas H. Jerdee in 1972 and reported in the Journal of Applied Psychology in 1974.

” (Navigating through data analysis: Chapter 2: Making decisions with categorical data, 2009, P.1). In this case, it is necessary to use the following steps in order to determine whether the bias in recommending for promotion was a change variable or was due to discrimination. The students could work in groups and brainstorm regarding the possibility of discrimination or the absence of it.It is next necessary to work out a two way mathematical table showing the two variables- recommended or not recommended for promotion, and gender- male / females.

It is now necessary to consider the three possible outcomes that could arise:Scenario 1: There is no element of discrimination in the resultsScenario 2: The results clearly manifest apparent discrimination against womenScenario 3: There are grey areas- it is not clear whether discrimination against women is present or not. Scenario 1: There is no element of discrimination in the resultsThe 2 way truth table for this case is as follows: GenderRecommended for promotion Not Recommended for promotion TotalMale 17724Female18624Total3513From the above, it is well discerned that there is no element of discrimination present.

In the event, where there was perceived discrimination against women, the figures for recommendation would not be as figured above. Scenario 2: There are elements of discrimination in the resultsThe 2 way truth table for this case is as follows: GenderRecommended for promotion Not Recommended for promotion TotalMale 24024Female111324Total351348Respondents may also place 22 or 23 as rational values for the number of men recommended for promotion if discrimination against women was evident.

Scenario 3: There are elements of grey areas or uncertaintyThe 2 way truth table for this case is as follows: GenderRecommended for promotion Not Recommended for promotion TotalMale 21324 Female141024Total351348The use of the simulation technique is indeed a robust tool for repeating the exercise several times to determine its probability or the absence of it.

In this case however, it is seen that the value of probability of occurrence of discrimination is just 4%. Thus in most cases, the theory of discrimination may not hold water and could be rejected after ruling out the possibilities of Type 1 or Type II errors.Typically, a Type I error is when we could make an error in asserting that discrimination against women does play a part, when actually it has not; and secondly Type II error, when in reality, there being evidence of discrimination against women, but it was not accepted.

Reference ListNavigating through data analysis: Chapter 2: Making decisions with categorical data. (2009). Navigations Series, p.1. Retrieved June 1, 2010, from www.nctm.org/handlers/aptifyattachmenthandler.ashx?AttachmentID=6021