Data is provided in the results section. There is no separate section.
Nebelsh M. Leder University of North Car Charlotte While a lot of research has formed on the sleep of college ako in relatie tot less studied College students every active media. The wverage person spelever 30 both on the computer Studes and skill with information technology, 2006). With late night hour and an excele wek dit is prenable that college students that meet and that they also are wing their computer lite at night College studenta w we of electronie mobile or focowwe work denunde entertainment and con (Colley & Maliby, 2008). Moreno ed. (2012) found that out of 189 college-aged participat w age of 189 years, the average time of daily Intertutuse was 56 mes. As college students are transitioning to wholthood and establishing FECD und sleep habits that may per well in hood, ki eriti o vestigate the consequences of these behavior perm. The hypothesied that yester electronic modis waye would predict worse kleep quality song college students and young adults. Method Participants The participants were recruited online to meet our requirements, earn extra credit in a clan, through social media advertising. The survey was online and offered through the SONA website during the summer session UNC Charlotte. There were a total of participants who completed the survey on sleep quality and electronie media use (20 males and 40 females. The mean ape of the participants we 27.25 years old ranging from 18 years old to 37 years old with a standard deviation of 9.72. or these participants, 83 identified as Axian, 20% African American, 10% Hispanic 56.7% Casino 5% identified as the Measures Sleep Ouality. Sleep duration and sleep/wake quality, which included daytime sleepiness and difficulty awakening of the participants were measured using The Sleep Questionnaire (see Appendix Al Thin questionnaire was broken into two parts to different aspects of sleep to be tested. The first section wried how satisfied participants were with their sleep. The 3 questions tisode the responses on a scale of very dissatisfied to very satisfied. The scores ranged from S-15, with questions asking how well rested the participants felt, how they rulod their sleep quantity and how they rated their sleep quality. The Sleep Questionnaire (see Appendix A), also assessed sloep and wake properties and instances of SOL, such as how often participants experienced tiredness throughout the day, restless sleep and difficulty falling wleep or waking in the morning. The questions that were assessed in this portion were on a scale from 1-never to 5-always to determine the frequency of sleep related disturbances Electronic Use. To measure electronic tuse, participants were given two measures, the Educas Center for Analysis and Research (CAR) student technological and the Media Consumption Measure. The ECAR survey asked participants 4 questions on a scale from 1-Never to 5 Always, on how often they partook in the following activities, using a cell phone or computer less than 2 hours before bed, falling asleep with the TV on, playing video games at night, watching a movie on the TV or computer and watching the nightly news. This allowed the researcher to examine which EECDs were being used in order to investigate specific sources of sleep disturbances. The second measure was to test the activity of electronic media use using the Media Consumption Measure. Five items questioned how many hours a day they used a computer to download music, surf the internet, online shop, play computer games, and use social media on a scale of 1-1-2 hours to 5 6+ hours with scores ranging from 9-22. This measure was used to assess the reasons for electronic media use and the prevalence of late night use Research Design This study examined the relationship between the predictor variable and the criterion variable, specifically, electronic medin use and sleep quality respectively Procedure Participants filled out an online survey accessed through either the UNC Charlotte SONA system or through outside sources providing the link to the survey such as a social media website. The questionnaire consisted of 20 questions including basic demographic information, The Sleep Questionnaire, The ECAR survey and finishing with the Media Consumption Measure survey. 4 harus-cost-prod-102-xythos.content blackboar. 229955ab466edbf4b369011400033080004300700580912297 Results This study was conducted to examine whether higher electronic media use peodicts declines in sleep quality. The two main variables that were tested were sleep quality and electronic media activity. In order to better understand the effects of specific electronic media on sleep, correlation texts were run to determine the relationship between sleep/wake quality and the use of TVs, computers, cell phones and video games. The participants were asked questions relating to their sleep and wake quality (M-94, SD-3) and their electronic activity (M-15.45, SD-3.4). Statistical Analysis was run to determine the relationship between the two variables. Findings were (60)-0.25, p.05. Discussion It was predicted that the increase of electronic media use would lead to an increase in sleep difficulties and decrease in sleep quality. After examining multiple variables pertaining to patterns of sleep quality such as tiredness, findings suggest that electronic media use does have a relationship to sleep quality. This is an important finding considering that the average daily TV media time for adolescence is 72.9 minutes (Garrison et al., 2012) and that adolescent TV viewing predicts a higher risk of sleep problems in adulthood (Johnson et al., 2004). After reading the article above, answer the following questions: 1. What would be an appropriate research question for this study? (3 points) 2. What is the research strategy used for this study? Explain. (5 points) 3. What is the appropriate statistical test to test the research question and hypothesis? Explain (5 points) 4. Discuss the research findings. In other words, was there a significant relationship between the two study variables? Explain. (5 points) 5. Discuss the relationship between electronic media use and sleep quality. (5 points) 6. Is it appropriate to conclude that electronic media use causes poor sleep quality? Explain. (5 points) This study was conducted to examine whether higher electronic media use predicts declines in sleep quality. The two main variables that were tested were sleep quality and electronic media activity. In order to better understand the effects of specific electronic media on sleep, correlation tests were run to determine the relationship between sleep/wake quality and the use of TVs, computers, cell phones and video games. The participants were asked questions relating to their sleep and wake quality (M= 9.4, SD=3) and their electronic activity (M=15.45, SD=3.4) A correlation test was run to determine the relationship of the two variables (see Figure 1.) and found a positive correlation, r(60) = 0.25, p <.05. this suggests that the more electronic activity use individuals reported problems they experienced with their sleep quality. however correlation could be impacted by number of credit hours student was enrolled in since figure disturbances and media wake scale graph depicts relationship between amount self-reported disturbances. nebelsh m. leder university north car charlotte while a lot research has formed on college ako relatie tot less studied students every active media. wverage person spelever both computer studes skill information technology late night hour an excele wek dit is prenable meet also are wing lite at studenta w we electronie mobile or focowwe work denunde entertainment con maliby moreno ed. found out college-aged participat age years average time daily intertutuse mes. as transitioning to wholthood establishing fecd und habits may per well hood ki eriti o vestigate consequences these behavior perm. hypothesied yester modis waye would predict worse kleep quality song young adults. method participants were recruited online our requirements earn extra clan through social advertising. survey offered sona website during summer session unc charlotte. there total who completed males females. mean ape old ranging from standard deviation identified axian african american hispanic casino measures ouality. duration which included daytime sleepiness difficulty awakening measured using questionnaire appendix al thin broken into two parts different aspects tested. first section wried how satisfied sleep. questions tisode responses very dissatisfied satisfied. scores ranged s-15 asking rested felt rulod quantity rated assessed sloep properties instances sol such often tiredness throughout day restless falling wleep waking morning. portion determine frequency related use. measure tuse given educas center for analysis technological consumption measure. ecar asked always partook following activities cell phone than before bed asleep tv playing video games watching movie nightly news. allowed researcher examine eecds being used order investigate specific sources second test five items questioned many download music surf internet shop play assess reasons prevalence design study examined predictor variable criterion specifically medin respectively procedure filled accessed either system outside providing link website. consisted including basic demographic finishing survey. harus-cost-prod-102-xythos.content blackboar. results conducted whether higher peodicts declines main variables tested activity. better understand effects texts run tvs computers phones games. relating sd-3 sd-3.4 statistical variables. findings p.05. discussion it predicted increase lead difficulties decrease after examining multiple pertaining patterns suggest does have important finding considering adolescence minutes et al. adolescent viewing predicts risk adulthood reading article above answer questions: what appropriate question points strategy explain. hypothesis explain discuss findings. other words significant conclude causes poor tests sd="3)" positive r p>
