21
• Hypothesis IV
There will be a statistically significant difference in the level of social media contents in assessments between agencies that are proactive on the impact of heavy use of social media and those that are not. • Hypothesis Vi There will be a statistically significant difference in the
level of social media contents in treatment between agencies that are proactive on the impact of heavy use of social media and those that are not. Data Analysis For the quantitative portion of this mixed-methods study, the researchers analyzed the data through IBM SPSS 26.0. Due to the non-normal
distribution of the data, the researchers ran two non-parametric tests Man-Whitney U Test and
Spearman Correlation Test. These tests measured allowed the researchers to validate or refute the study hypotheses. For its qualitative portion, this
study used thematic analysis, a process through which participants answers are coded and then clustered based on similarity to form themes.
22 CHAPTER FOUR RESULTS Frequency Distributions Table 2 presents the demographics for the 95 participants of this study. Findings within this table show that three quarters of the participants identified as White, leaving a quarter of the participants non-White. A majority of the participants of this study were female, with very few male respondents.
With regard to age group, two-thirds of the participants were between 18 and 34 years old. Participants that were licensed made up one-third of the responses, whereas two-thirds of participants were non-licensed. A little less of a quarter of the participants lived in California while a little more than three-quarters resided outside of California. A little more than a quarter of participants have received training on the impact social media has on mental health. Finally, a quarter of participants agreed that their agency values the integration of social media and mental health. For further breakdown, refer to Table 2:
23 Table 2. Frequency Distributions of Study Variables (N = 95)
Variables Nib
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