Instagram Addiction and Self-Esteem in High School Students

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Research Design

To test the relationship between social media Instagram addiction and self-esteem in American high school students, a descriptive survey where students will be enrolled in an online, blinded survey will apply. The survey will consist of the Rosenberg self-esteem scale, Instagram intensity scale, eating attitude test-26, and the body esteem scale (Buran Köse & Doğan, 2019, 175). First, the study will test the hypothesis that there is a difference between social media usage and self-esteem among high school students. Second, the study will test how social media addiction influences the number of Instagram followers or friends. The research design is appropriate because a more significant proportion of college students have smartphones and access Instagram for an average of two hours daily.

Sampling Plan

A random sampling plan is appropriate for the survey because it captures the desired population and others. Besides, surveys indicate a positive correlation between the time spent on social media and a reduction in self-esteem and vice versa. Similarly, 90% of the students have social media accounts, making random sampling valid and giving the exact representation of the population (Buran Köse & Doğan, 2019, 176). Data will be collected from students who correctly fill the survey forms to evaluate The three hypotheses.

Sample Size Estimate

Sample size calculation will depend on the accuracy of the measure rates in the target population. For instance, this study will estimate the proportion (p) of the students within the university population. If the calculated ratio is 80%, the estimate will be +/- 1% as an actual value, making the proportion fall between 79%-81% with 95% confidence (Hawi & Samaha, 2016, 577). From the above statistics of 80% proportion and a population accuracy of +/- 1% sample size will be about 600 respondents out of a sample population of 800 people within the campus (Buran Köse & Doğan, 2019, 175). However, a larger sample size will be better for higher accuracy, and a deviation of the expected prevalence requires a smaller sample size.

References

Buran Köse, Ö., & Doğan, A. (2019). . Addicta: The Turkish Journal on Addictions, 6(1), 175-190.

Hawi, N., & Samaha, M. (2016). . Social Science Computer Review, 35(5), 576-586.

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