The proposed study is designed to address the lack of information pertaining to the patterns in Facebook use and its effects in increasing social anxiety (Levison, Rodebaugh, & McCord, 2014). In today’s society people have instant access to the internet though mobile devices, tablets, laptops, and desktops. This connection with one another is beneficial in some parts of daily life, such as work, school, or social life. It allows people to connect and communicate easily and efficiently with family, friends, and colleagues. Some past studies, however, have shown that these devices have a downturn to them.
Lee (2015) reported that 10% of the sample population were Facebook addicts, while the rest of …show more content…
Hong, Huang, Lin, and Chiu’s (2014) data showed a positive correlation between Facebook addiction and Facebook use, meaning that the more time an individual spends on Facebook the more likely they are to become addicts. Thus, pointing back to Becker, Alzahabi, and Hopwood’s (2013) findings that stated that higher social media resulted in lower social contact. The same is found in Lee, Chang, Lin, and Cheng’s (2014) study where they collected data from Taiwanese participants. Their study identified that socially anxious people would depend more on their phones for interaction, which led to excessive smartphone use (Lee, Chang, Lin, and Cheng, 2014). This dependency was due to the relief of discomfort they would experience during social contact (Lee, Chang, Lin, and Cheng, 2014). However, this limited their interaction with others even further (Lee, Chang, Lin, and Cheng, 2014). Excessive use of social media, such as Facebook, or smartphones are not the only ones associated with social anxiety. Lu, Watanabe, Liu, Uji, Shono, and …show more content…
In Lee’s (2015) study the limitation was that it relied on participant’s recall of social network use. The same limitation was stated in Lee, Chang, Lin, and Cheng’s (2014) study, which relied on participant’s self-report. Recommendations from several past studies are to track usage in a longitudinal design using a tracking software (Lee, E.B., 2015; Lee, Chang, Lin, & Cheng, 2014; Lu, Watanabe, Liu, Uji, Shono, & Kitamura, 2011; Masur, Reinecke, Ziegele, & Quiring, 2014). Lu’s (2011) study did not asses functional impairment to see how mobile devices affected daily life. In Masur, Reinecke, Ziegele, and Quiring’s (2014) report the limitations were participant’s self-selection due to email invitation, over-representation of participants with some interest in Facebook, and a cross-sectional design that could not show temporal effects. In Levinson, Rodebaugh, and McCord’s (2014) study of Facebook use and anxiety on Facebook, the limitation was that they used a small sample size with few ethnic minorities and men. The recruitment method was also bias because invitations were sent to acquaintances by email (Levinson, Rodebaugh, & McCord,