The research hypothesis for this work is ‘drug addict’s reintegration into the society after rehabilitation will be a success if concerning factors are taken into consideration. Based on methodologies used in the literature review articles of my previous work, the following factors come into consideration, participants, time frames, and resources required.
The participants are former drug addicts who had sought rehabilitation services and wished to get back into society after successfully recovering from addiction. Both genders are included, and age is usually confined between 20 and 67 years of age.
Timeframe for the work spans one month due to the size of the study sample. This would allow for the collection of data, analysis, and presentation of results and recommendations. Resources required would range from stationery to writing down answers to the automobile as the areas covered for data collection would be extensive. Also, electronics such as laptops and personal desktops would be required to analyze the data gathered.
Statistical analysis methods are used to discover hidden patterns within the data provided (Cheung, 2019). The statistical methods for this work seek to employ the application of hypothesis testing, mean of the data, standard deviation, regression, skewness, among other methods. Software such as SPSS (Statistical Program for social sciences), which supports statistical analysis work, would be utilized.
Cheung, K. L., Mayer, S., Simon, J., de Vries, H., Evers, S. M., Kremer, I. E., & Hiligsmann, M. (2019). Comparison of statistical analysis methods for object case best–worst scaling. Journal of medical economics, 22(6), 509-515.
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