Data Analysis In Research Proposal

A number of studies suggest this may be the case more often than believed (Nowak, 1994; Silverman, Manson, 2003).

For example, Sica found that adequate training of physicians in medical schools in the proper design, implementation and evaluation of clinical trials is “abysmally small” (Sica, cited in Nowak, 1994).

If one uses unconventional norms, it is crucial to clearly state this is being done, and to show how this new and possibly unaccepted method of analysis is being used, as well as how it differs from other more traditional methods. Journal of Teaching in Physical Education, 22(3): 280-297.

For example, Schroder, Carey, and Vanable (2003) juxtapose their identification of new and powerful data analytic solutions developed to count data in the area of HIV contraction risk with a discussion of the limitations of commonly applied methods.

Resnik (2000) states that it is prudent for investigators to follow these accepted norms.

Resnik further states that the norms are ‘…based on two factors: (1) the nature of the variables used (i.e., quantitative, comparative, or qualitative), (2) assumptions about the population from which the data are drawn (i.e., random distribution, independence, sample size, etc.). Statistical, practical, clinical: How many types of significance should be considered in counseling research?

While data analysis in qualitative research can include statistical procedures, many times analysis becomes an ongoing iterative process where data is continuously collected and analyzed almost simultaneously.

Indeed, researchers generally analyze for patterns in observations through the entire data collection phase (Savenye, Robinson, 2004).

If one uses unconventional norms, it is crucial to clearly state this is being done, and to show how this new and possibly unaccepted method of analysis is being used, as well as how it differs from other more traditional methods.

For example, Schroder, Carey, and Vanable (2003) juxtapose their identification of new and powerful data analytic solutions developed to count data in the area of HIV contraction risk with a discussion of the limitations of commonly applied methods. Research on teaching in physical education doctoral dissertations: a detailed investigation of focus, method, and analysis. Conducting and presenting social work research: some basic statistical considerations.

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