Thursday, July 18, 2019

Diversity in Survey Methods Essay

IntroductionBefore describing the logical implication of mixture in doing look for, it is important to bankers bill that any research should be as specific as possible. For example, suppose the police detective intends to evaluate or find out(a) whether women experience more automobile hazards than men, therefore the tec should specify the variables to be used. likewise many variables may make the hear too general and invalid. One researcher may opt to approach this research by comparing women and men in terms of how easily they get put off and the number of accidents they face either gender. other researcher may opt to meet approach this research by analyzing accident cases and counting which of the cases is caused by women and which is caused by men. The twain researchers would have different retrospect questions.The branch researcher will have a relatively diverse raft questions because he or she is considering two variables, whereas the latter researcher will ha ve homogenous survey questions (Jackson, 2012). When the variable survey questions are diverse, the import and soused of the variables may be skewed to the right or left depending on the degree of diversity. If some of the values in the variables are highly low, then the correspond would be lower than the median value and therefrom the results will be skewed to the right. Alternatively, if the diversity is made up of variables that are extremely high in value, then the mean will be more than the median and the results will be skewed to the left. lopsidedness may distort the true subject matter of the results (Jackson, 2012).Consequently, the researcher needs to take into count on a number of chances. The first aspect is outliers. The researcher should remove any outlier as possible because it is the outliers that are responsible for the shift of the results (Jackson, 2012). In addition, the researcher should make the survey questions relatively specific.ReferencesJackson, S. L. (2012).Research methods and statistics A sarcastic thinking approach. Belmont, CA Wadsworth Cengage Learning.

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