Dispersion is the distribution of values around some central value, such as an average Rubin, A., & Babbie, E. (2013). Quantitative data is collected for a statistical purpose, it is structured to a form with in view that its features as a whole may be willingly determined. Dispersion of quantitative research usually involves few variables and many cases, and employs prescribed procedures to ensure validity and reliability. A single significant and characteristic expression or a measure called average is then calculated to review or explain as a whole the entire data. This form of a comparing two or more groups or series but an average alone is an acceptable measure for such a purpose. Personal bias can also be avoided by researchers by keeping a distance from participating subjects and employing subjects unknown to them. When collecting quantitative data, social workers rely on random sampling and structured data gathering mechanisms that fit varied experiences into encoded response categories. The levels of dispersion discussed in the text are, standard deviation and range Rubin, A., & Babbie, E. (2013). In quantitative research, the standard deviation and range will allow the researcher to obtain a broader study, involving a greater number of subjects, and enhancing the generalization of the results.
Rubin, A., & Babbie, E. (2013). Brooks/Cole empowerment series: Essential research methods for social work. (3rd ed.). Australia: Brooks/Cole Cengage Learning
Written By,
Shelia McFarland
Student Learner
Tarleton State University
Rubin, A., & Babbie, E. (2013). Brooks/Cole empowerment series: Essential research methods for social work. (3rd ed.). Australia: Brooks/Cole Cengage Learning
Written By,
Shelia McFarland
Student Learner
Tarleton State University