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My experimental study will attempt to analyze whether social media usage causes increased levels of anxiety & depression in high school teens over a 1 month period.

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100 individuals, ranging from 15 to 19 in age, who attend Sandra Day O’Connor High school & have social media

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I asked 100 students in the cafeteria/patio lunchroom how many, on average, hours per week they spend on social media sights. I then asked the participants to complete an anxiety/depression assessment at their current stress levels.

Out of the 80 participants, 20 said they did not use any form of social media.

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I had 20 students increase their daily usage of social media by 50%, 20 students decrease their social media usage by 50%, & 20 students stop using all forms of social media. The last 20 students who didn’t use social media from the beginning acted as the control group - no change. In one month, i would reach out to each participants to record their anxiety/depression assessment scores once again.

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My explanatory variable will be the social media usage of each student.

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My response variable will be the the anxiety/depression levels gathered from the assessments.

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I did not have a Blind nor a Double-Blind in this study. Both the subjects & the experimenter knew which groups had what treatments & who the control group was.

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I did not have a placebo in place for this study as their is no form of “fake” social media. My control group was the group of 20 students who did not use any form of social media & continued not to throughout the experiment.

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I randomly selected 80 students from my school cafeteria/patio lunchroom. Potential lurking variables could include ; already existing anxiety/depression disorders, personal stress, & gender. By randomly choosing students, we can reduce these impactful variables.

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I do not have a matched pair design as i have 3 treatment groups & 1 control. Dividing the groups of 20 into groups of 4 from each scoring level could be considered a matched pair design but falls beyond pairs. They are groups of 4, not 2.

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I equally divided each group into sets of 20 to give an equal opportunity to each of the non control groups who had all used social media. I made sure that each group also contained 5  individuals from each of the 4 scores (low, moderate, moderately severe, severe). This will give more accurate results as there isnt more too many severe cases against moderate/ or low cases.

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A crossover design could be performed if i gave each group a chance at different treatments over a longer period of time. For example, if after 1 month i record my results from the set groups listed above, i could have the 20 students who had an increase in social media usage, switch to the treatment of decreasing their usage for another month to record their results of whether their anxiety/depression increased or decreased. The same would be done for the remaining two treatment groups.

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My sample size of 80 students yields a margin of error at 1.25%. This states that my estimation could be 1.25% more or less than the predicted proportions.

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A replication for this experiment can be performed at a variety of high schools in Phoenix Arizona. If the same results are yielded, it means that social media does in fact have an impact/increase on anxiety & depression levels.

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No finances were needed as i was the only experimenter, the subjects had volunteered, & the assessments were free tools used online.

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After 1 month, i contacted each of students & had them perform the anxiety/depression assessment once again with their current stress levels. For the 20 students who had an increase in social media usage, their anxiety/depression levels averaged an increase of 7.9% on test scores. For the 20 students who had a decrease in social media usage. their anxiety/depression levels averaged a decrease of 4.3% on test scores. For the 20 students who stopped social media all together, their anxiety/depression levels averaged a decrease of 9.1% on test scores. Lastly for the control group, the group who does not have social media, their anxiety/depression levels averaged a 1.4% increase on test scores. i believe that this is statistically significant & that the amount of social media usage yielded on a weekly basis by high school teens, can greatly impact their mental health, to be more specific anxiety & depression. Although my experiment yielded a 1.25% margin of error, i would like to conduct the study at more Phoenix Arizona High schools to confirm this theory.