For this assignment, you may submit a paper or a video presentation. All the criteria below apply for both, but word counts are for the paper only. If you choose a presentation, they should be between

DATA COLLECTION METHODS 3

Data Collection Methods

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As elaborated in my previous discussions, my research on global sexual violence mainly entails quantitative researching than qualitative research. As a result, the data collection methods that will be applied in the research will be largely inclined to the quantitative research methodology.

First, probability sampling will be carried out to enable the researcher select a random population through which they can coin probability statements based on the randomly selected demographic. This will remove the chances of bias since the sample will be collected based on the rules of random sampling (Etikan & Bala, 2017). For this case, the type of sampling that will be used is simple random sampling. Secondly, interviews in telephone, computer-aided devices, as well as face-to-face interviews will be used. The method will make it possible to collect real-time data from the source. Telephone interviews have been on the rise recently with advancement of technology e.g. through Skype or many other platforms for video calling. They will be crucial during the interviews data collection process. Face-to-face interviews will be designed to target the reachable sample population.

In addition to the above, literature and document review methods will be used. There is plenty of information available in hardcopy books as well as the internet where information about sexual violence can be collected (Spector, 2019). All the above methods discussed, will be crucial in aiding the descriptive research discussed in the previous assignments. In the process, the various effects of global violence including physical, emotional, and psychosocial effects will be clearly understood by the readers of the research work.

References

Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 00149.

Spector, P. E. (2019). Do not cross me: Optimizing the use of cross-sectional designs. Journal of Business and Psychology, 34(2), 125-137.