Relationship between Purpose of Study and Data Analysis Techniques (Wk9 6301)
Descriptive and inferential statistics are extensively used on group studies to analyze outcomes as well as make inferences. Various forms of statistics which describe can be utilized to examine the facts collected in case named “Social Work Research: Measuring Group Success.” Descriptive statistics such as measures of central tendency and variation and dispersion measures make it easier for one to understand the data as it presents it in a more meaningful way (Bauer, Ambert & Nielsen, 2004). The mean, mode and median can be used for data analysis in the case study. For instance, the mode, which infers to the most frequent number in a set of data, might help to identify the most common age of the eight women who participated in the study.
On the other hand, the mean would be used to calculate the average scores for the depression, anxiety, and stress scores of the DASS pretest as well as the post-test. Graphing data is also another type of descriptive statistics that might be used to examine the data collected in the case study. Graphs enable one to easily comprehend how scores are distributed, for instance, using frequency distributions (Bauer, Ambert & Nielsen, 2004). For example, information on how many members faced what form of abuse, and how many had children and how many did not can be drawn in a graph.
The type of inferential statistics that can be utilized in the given case study is dependent samples t-test. It compares information on a group of people for a longer period and is most suitable for pretest and posttest settings (Bauer, Ambert & Nielsen, 2004). As for the case study, it may be used to compare the results of the DASS pretest and after-test results.
In social work practice, the dependent samples t-test offers assistance in assessing the relevancy of the study’s findings by ensuring that they are valid. As for the descriptive statistics such as the mode and the median, a social worker becomes aware of the most pressing issues that need immediate action.
Bauer, S., Lambert, M. J., & Nielsen, S.L. (2004). Clinical significance methods: A comparison of statistical techniques. Journal of personality Assessment, 82, 60-70. Retrieved from the Walden Library databases.