Hi, I need help with essay on Issues of Faculty Training for Online Courses Part 5. Paper must be at least 750 words. Please, no plagiarized work!Stratified sampling is suitable in this research since

Hi, I need help with essay on Issues of Faculty Training for Online Courses Part 5. Paper must be at least 750 words. Please, no plagiarized work!

Stratified sampling is suitable in this research since it has less error margins(Bogdan, &Biklen, 2007). After selection using the stratified sampling meaning people with similar interests, an adequate number is again chosen from the original sample. The number has to be adequate to ensure that the group involved has taken a sample of every significant personfor the interview. For example the number should consist of both teachers and students and not only teacher or students or an uneven number. We could use the sample size calculator to determine the sample size but in this instance we shall chose the estimation means(Ryan & Wiley Online Library, 2013). In this case we shall estimate the students and teachers below fifty years of age. The formula will be p=X/n where X is the number of teachers and students under fifty years(Ardilly&Tillé, 2006). The rationale behind this sample size is that people above fifty years are not keen or active to use online facilities frequently.

In this stage, a clear and brief description of measurements needed is stated. For example in this case the sample size to be used. Secondly, selection of researchers is done. These researchers are then thoroughly trained. Thirdly, the research must be underway with trained researchers reporting and taking down data. Finally, the data must be recorded clearly so that it can be used for the purpose of the research.

Here the data is sorted, separated and entered into a computer. Any audio visual material used can be transcribed at this stage. Observation of data and deducing the meaning is then performed on the sorted data. Finally, the use of qualitative and quantitative data sorting is done on the data(Seidman, 2013).

Statistical analysis is only performed on quantitative data as it can be counted while qualitative cannot be counted(Seidman, 2013). Statistical analysis can be done through normal counting, observations of