In regard to quantitative research proposals, novice researchers often find it very challenging and tedious to explain in detail
how the data will be analyzed and interpreted in their study. Explain why it is essential that the researcher not cut corners in this section of the proposal.
By obviously identifying in advance the manner to which questionnaires will be scored or the other measurements and parameters to be used, the researcher avoids collating and gathering data that turn out to not lend themselves effortlessly to quantification.
By identifying in advance what statistical method will be used, the researcher avoids a circumstance in which the information gathered are not appropriate to the planned analysis (e.g., an erroneous level of measurement-ordinal, or interval, etc. in the result measures, grouping the data that are not available, sample size are small).
|t is important not to skip this section of the proposal because without a thorough explanation of the nature of the study, the variables that will be used, the mathematical method that will be used, and the way the results will be interpreted, the people who are reading the proposal may simply not understand the study at all, and discard it not because of lack of relevance, but because of lack of comprehension.
Well it would depend how cold it would be, but I would say if it's below freezing cold, personally (when I go skiing actually) I would dress up in an under layer thing (I don't really know what you call it), a fleece sweater, (assuming there's snow) snow pants, and a jacket.
If you're climbing Mt. Everest, that's a whole different story.
