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Little Sleep Hypothesis

1166 Words5 Pages

In your own words, state the hypothesis. Provide context for the importance of this question by briefly summarizing the rationale for the hypothesis. In the United States, it has been documented that 93% of young adults between 18-19 years old have a cell phone. With easy access to cell phones and other digital media, it is no surprise that U.S. university students spend an average of 12 hours a day engrossed in media consumption (Orzech, Grandner, Roane, & Carskadon, 2016). Although media is a significant part of college student’s lives, studies have found that sleep is very important to keeping a balanced life and maintaining good mental health. Little sleep among first year students can lead to a more negative mood and potential health …show more content…

Provide the variables’ operational definitions. In this study, there are no identifiable independent or dependent variables. Independent variables are manipulated in an experiment and dependent variables are the changes observed after the independent variable(s) is applied. However, due to the format of this study, no variable was manipulated to document the data. The data was self-reported and required no manipulation to observe an effect (Orzech, Grandner, Roane, & Carskadon, 2016). Briefly describe what the investigators had the participants do to test the hypothesis. Was the design of the study descriptive, correlational, experimental, or quasi-experimental? How do you …show more content…

In addition, it was discovered that the average value of digital media usage was 4.3 blocks out of the 8 blocks before bedtime. This equates to more than half of the two hours before bedtime dedicated to digital media usage (Orzech, Grandner, Roane, & Carskadon, 2016). As the trends in the data became more apparent, it could be assumed that Total Sleep Time and Bedtime were associated with quantity and diversity of media. As the quantity of digital media rose in the 8 blocks, Total Sleep Time decreased and later Bedtimes were observed. As the diversity of media increased, the reported Total Sleep Time increased and earlier Bedtimes were observed (Orzech, Grandner, Roane, & Carskadon, 2016). Nearly all digital activities reported less Total Sleep Time overall. Computer work was associated with the biggest decrease in Total Sleep Time in comparison to the other digital media sources (Orzech, Grandner, Roane, & Carskadon, 2016). Given the results and conclusions of this experiment, the hypothesis was successfully proven that digital media had an effect on Total Sleep Time and quality of sleep, especially the hour before bedtime (Orzech, Grandner, Roane, & Carskadon,

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