1. INTRODUCTION PARTICIPANTS & MEASURES HYPOTHESES RESULTS Correspondence to: yozajj@mountunion.eduPresented at the 87 th Annual Midwestern Psychological Association, Chicago, IL, April 30 th - May 2 nd, 2015 _______ RESULTS Jeffrey J. Yoza (Faculty Advisor: Michael M. Knepp) University of Mount Union Participants were invited to partake in the study through a participant management system. The participants completed the survey hosted by a survey distribution website. Participants received course credit and were entered into a lottery for a gift card. PROCEDURE CONCLUSIONS The Hidden Importance of Social Media Facebook has changed how people socially develop and interact with each other. Research investigating Facebook use is sometimes clouded by a lack of standardized definitions. How Facebook affects its users physically, mentally, and emotionally is always changing and requires consistent reappraisal. As Facebook becomes prevalent in everyday life, research investigating the negative health consequences of Facebook use is necessary. Eighty-one undergraduate students from a small Midwestern university. The final sample consisted of 62 women and 15 men with an average age of 19 years. A questionnaire battery was composed consisting of the following scales and tests. Each measure consisted of Likert-type scale questions and the entire battery took approximately 45 minutes to complete. The battery was delivered electronically. Facebook Emotional Investment Motives for Facebook Use Measure (MFFUM) Facebook Usage and Experience Measure (FUEM) Facebook Jealousy Scale (FJS) Facebook Feature Use Facebook Feature Use Measure (FFUM) Facebook Questionnaire (FQ) College Student Depression Modified Beck Depression Inventory (MBDI) University Student Depression Inventory (USDI) Penn State Worry Questionnaire (PSWQ) Problematic Internet Use Internet Related Problem Scale (IRPS) Generalized Problematic Internet Use Scale 2 (GPIUS2) Internet Behavior and Attitudes Scale (IBAS) The FUEM Predicted the GPIUS2 (p < 0.001, R 2 = 0.318, F(1,75) = 35.00) Predicted the IRPS (p < 0.001, R 2 = 0.244, F(1,75) = 24.19) Predicted the MBDI (p < 0.001, R 2 = 0.18, F(1,75) = 15.98) Predicted the USDI (p <0.001, R 2 = 0.24, F(1,75) = 23.25) The FJS Predicted the GPIUS2 (p < 0.05, R 2 = 0.06, F(1,75) = 5.04) A trend for the IRPS (p = 0.054, R 2 = 0.049, F(1,75) = 3.83) Predicted the MBDI (p < 0.05, R 2 = 0.06, F(1, 75) = 5.44) Predicted the USDI (p < 0.001, R 2 = 0.24, F(1,75) = 23.25) The MFFUM The GPIUS2 (p < 0.001, R 2 =0.12, F(1,75)=11.64) The IRPS (p < 0.005, R 2 =0.10, F(1,75)=9.53). Did not predict the MBDI or USDI (all p-values > 0.1) The FFUM Predicted the GPIUS2 (p < 0.01, R 2 = 0.097, F(1,75) = 8.07) Did not predict the IRPS (p = 0.059, R 2 = 0.03, F(1,75) = 0.37) Did not predict the MBDI (p = 0.717, R 2 = 0.002, F(1,75) = 0.13) Did not predict the USDI (p = 0.552, R 2 = 0.05, F(1,75) = 0.36) H1 – User’s having more emotional investment to their Facebook profile will exhibit stronger behaviors related to problematic Internet use and symptoms of depression. H2 – Users spending more time per day on Facebook will lead to stronger susceptibility to problematic Internet use and depression. H3 - Non-emotional Facebook usage would have a lower correlation with problematic Internet use and depression symptoms. Users that experience Facebook in negative ways have a higher risk of exhibiting symptoms of depression. The longer a person spends using the Internet and Facebook per day, the more susceptible they are to problematic Internet behaviors. Emotionally-invested Facebook usage can have different effects on the same user’s health than non- emotional behaviors. This creates a definitive need for clear definitions in dealing with Facebook research. FUEM as a Predictor for the USDI FUEM as a Predictor for the GPIUS2