NON-PARAMETRIC TECHNIQUES

Nov 9, 2021 | 0 comments

Nov 9, 2021 | Writing Guide | 0 comments

Both the symptoms and effects of depression differ between boys and girls and individually among people suffering from depression. Non-parametric tests are based on the assumption that data will either be ordinal once collected rather than nominal as well as the possibility of outliers which cannot be easily explained.
Mann Whitney test: this test is often used to rank specific characteristics. In this study the test will be used to test the effects of depression. The test relies on ranking the scores from highest to lowest. The instruments for data collection will include a range of scores measuring feelings and emotions of the respondent from 1 (being lowest) and 7(being highest). There are two aspects of the test, the first ranking which effects are most likely to appear among the teenagers. For example, there will include a ranking on thoughts of suicide and lethargy, and the ranks will be applied on each using the SPSS data collection. Once the scores have ranked, the second aspect of the test will include considering which group ranks highest in each effect. The effects of depression have often been assumed to be standardized. However, there could be possible scientific differences with regard to how the girls and boys react and develop effects of depression. Such response can be easily measured through the ranking of the SPSS data and running a Mann Whitney test. The test is the most ideal to measure the strength of the relationship between the variables that is gender (independent) and effects of depression (the dependent variable). Highly significant test results measure either above the median or below the median depending on the positive or negative results of the data, making conclusions and recommendations easier.
Wilcoxon signed test: According to Woolson (2008) unlike the Mann Whitney results, Wilcoxon has the highest value with regard to interpreting ranked results especially where descriptive analysis is concerned. Again, as with the Mann Whitney there are two special results that will be sort from the data collected. In the first step, the researcher will compare the data collected to the hypothetical means, which in this case will be the average score on each symptom highlighted by the teens. The assumption is that although there are major symptoms that are expected from the data, there are possible outliers with regard to symptoms of depression which have not been recognized or included in the data collection tool but which may arise during the interviews and such should be included with possible ranks of the likelihood of occurrence. The second aspect will include again a comparison across the genders. One of the challenges of understanding and diagnosing depression among teenagers stems from the fact that symptoms in each gender differ greatly. Identifying the highest-ranking symptoms among each gender allows for faster analysis and even ideal and structured treatment methods. In this case the occurrence of depression remains the independent variable as the interviews will center around teens that have either battled or are battling depression. The dependent variable on the other hand, the focus of the test and analysis will be the different signs and symptoms of depression as identified through the interviews with the teenagers. The difference between the scores and the median of the group is what is considered the rank of the specific variable; in this case the symptoms of depression.
References
Woolson, R. F. (2008). Wilcoxon Signed‐Rank Test. *Wiley encyclopedia of clinical trials*.