Data is numerical. It is research based on facts, not interpretative (Kover, 2008). This form of study is used to test hypotheses and establish causality. Quantitative data is used to explain data at the micro, meso, macro, and world levels of analysis (Smith, 2005). Conclusion

For years, the debate over which field of study is more valid -- qualitative or quantitative -- has waged. Qualitative study centers on behaviors and what prompts those behaviors. The data obtained is narrative, which leads to an interpretative analysis of the data and the researcher interacts with the study. Quantitative study is analytical. The data obtained is numerical and is used to test specific hypotheses, in order to establish relationships. Although the two are quite different from one another, they are both valid forms of study. One form is not always appropriate in every research situation. In some instances, the richness achieved with qualitative study is needed to fully understand a phenomenon. In other instances, quantitative data can effectively and efficiently establish the causality between facets.

References

Ferdig, R., Sprague, D., Maddux,...

(2007). Editorial: Publishing data evidence to support educational technology claims. Journal of Technology & Teacher Education, 15(4). Retrieved December 13, 2009, from Education Research Complete.
Goguen, J., Knight, M. & Tiberius, R. (Dec 2008). Is it science? A study of the attitudes of medical trainees and physicians toward qualitative and quantitative research. Advances in Health Sciences Education, Theory, and Practice, 13(5). Retrieved December 13, 2009, from MEDLINE.

Howick, S., Ackermanna, F., & Andersen, D. (Summer 2006). Linking event thinking with structural thinking: Methods to improve client value in projects. System Dynamics Review, 22(2). Retrieved December 13, 2009, from Business Source Complete.

Kover, A. (2008). Qual. Vs. quant... again! International Journal of Advertising, 27(4). Retrieved December 13, 2009, from Business Source Complete database.

Prakash, D. & Klotz, A. (Dec 2007). Should we discard the 'qualitative' versus 'quantitative' distinction? International Studies Review, 9(4). Retrieved December 13, 2009, from Academic Search Complete.

Smith,…