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Due on 18th April 10 am pst.
1 page APA paper

  • Remind the reader of the purpose of the paper/hypothesis.
  • Describe the statistical findings in sentences without numbers. This is where you can speculate why you had the results you found.  
  • Talk about the limitations of the study (even if you think your study was wonderful, you must think of some limitations!)
  • Talk about future directions and what other researchers should do in this area (or what you might do in a follow up study, etc.)
  • Talk about the implications of your study (what good could come out of this/why is it important/etc.)  You can also talk about broader implications like for social or policy change, etc. 

1.The hypothesis was not supported

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2. The correlation between age is not supported effective but not significant.

Correlation

Age 1.5 2.6666666666666665 2 2.3333333333333335 3.2 3.5 2.8333333333333335 2 1.1666666666666667 3.1666666666666665 1.6666666666666667 1.5 3 4.166666666666667 2.5 1.6666666666666667 2.1666666666666665 3.1666666666666665 2.3333333333333335 2.3333333333333335 2 1.3333333333333333 3.3333333333333335 2.5 3.5 1.8333333333333333 3 3.1666666666666665 2.1666666666666665 2.33333333 33333335 3.1666666666666665 1.6666666666666667 1.3333333333333333 1.5 1.5 1 1.1666666666666667 2.3333333333333335 2.3333333333333335 1.1666666666666667 3.6666666666666665 1 1.6666666666666667 1 2.1666666666666665 1.1666666666666667 1.6666666666666667 2.8 52 44 49 47 59 45 44 45 27 47 45 46 47 34 26 24 42 23 33 35 46 45 23 43 45 47 46 53 27 28 35 23 46 44 53 56 35 38 19 19 47 31 59 45 49 46 27 29 30

Social Media Addiction

Age

Form Responses 1

TimestampPlease Check belowOn the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I’m on social media daily]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I use Tinder regularly ]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I love the app Bumble]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I create Tik Tok videos]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I love dating on social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [All of my friends are on social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [My kids are always on social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [My parents are always on social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I love social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [Social media effects my life]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I’m always on Facebook, Twitter, and Instagram]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I spend all of my time on social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I can’t go very long without checking social media]On the scale below choose a number 1 through 5 depending on how much you disagree or agree with each statement. [I’m always thinking about what’s happening on social media]ave social mediaaverage addictionAgeGender
2/23/2021 14:17:01I am at least 18 years old and am willing to participate in this study111212122121211.42857142861.552Woman
2/23/2021 14:33:25I am at least 18 years old and am willing to participate in this study51111454241322.61538461542.666666666744Woman
2/23/2021 14:52:02I am at least 18 years old and am willing to participate in this study311112123321211.7142857143249Woman
2/23/2021 14:59:30I am at least 18 years old and am willing to participate in this study311123333231232.21428571432.333333333347Man
2/23/2021 15:11:43I am at least 18 years old and am willing to participate in this study52111351343332.69230769233.259Woman
2/23/2021 15:43:42I am at least 18 years old and am willing to participate in this study5111345141445333.545Man
2/23/2021 15:48:14I am at least 18 years old and am willing to participate in this study511134514253122.71428571432.833333333344Woman
2/23/2021 16:44:51I am at least 18 years old and am willing to participate in this study411113434131212.1428571429245Woman
2/23/2021 17:15:43I am at least 18 years old and am willing to participate in this study211113111121111.28571428571.166666666727Woman
2/23/2021 17:49:01I am at least 18 years old and am willing to participate in this study5222444423333.16666666673.166666666747Woman
2/24/2021 5:16:03I am at least 18 years old and am willing to participate in this study411113333112211.92857142861.666666666745Woman
2/25/2021 11:30:14I am at least 18 years old and am willing to participate in this study311115553121112.21428571431.546Woman
2/25/2021 15:42:36I am at least 18 years old and am willing to participate in this study411214414442222.5714285714347Woman
2/28/2021 20:36:44I am at least 18 years old and am willing to participate in this study511135133354553.21428571434.166666666734Woman
3/1/2021 20:23:33I am at least 18 years old and am willing to participate in this study511134124332212.35714285712.526Woman
3/1/2021 20:57:28I am at least 18 years old and am willing to participate in this study311115131151111.85714285711.666666666724Woman
3/1/2021 21:27:40I am at least 18 years old and am willing to participate in this study411114333231222.21428571432.166666666742Man
3/2/2021 2:20:05I am at least 18 years old and am willing to participate in this study511111135153142.35714285713.166666666723Woman
3/3/2021 4:00:09I am at least 18 years old and am willing to participate in this study513132213111442.28571428572.333333333333Man
3/3/2021 8:48:23I am at least 18 years old and am willing to participate in this study4112543231412.58333333332.333333333335Woman
3/4/2021 18:48:20I am at least 18 years old and am willing to participate in this study311112333131221.9285714286246Woman
3/7/2021 1:20:38I am at least 18 years old and am willing to participate in this study211114133111111.57142857141.333333333345Woman
3/7/2021 11:44:41I am at least 18 years old and am willing to participate in this study5111155345523133.333333333323Woman
3/7/2021 17:40:14I am at least 18 years old and am willing to participate in this study511115454311332.71428571432.543Man
3/8/2021 18:03:46I am at least 18 years old and am willing to participate in this study522224525243433.21428571433.545Woman
3/13/2021 13:11:14I am at least 18 years old and am willing to participate in this study321124113131211.85714285711.833333333347Man
3/13/2021 13:55:05I am at least 18 years old and am willing to participate in this study411113213333332.2857142857346Man
3/14/2021 17:03:56I am at least 18 years old and am willing to participate in this study411134424442322.78571428573.166666666753Man
3/17/2021 16:34:35I am at least 18 years old and am willing to participate in this study511115133331122.21428571432.166666666727Woman
3/17/2021 16:36:16I am at least 18 years old and am willing to participate in this study411115113221332.07142857142.333333333328Man
3/18/2021 20:54:25I am at least 18 years old and am willing to participate in this study51313543333433.15384615383.166666666735Woman
3/19/2021 7:50:07I am at least 18 years old and am willing to participate in this study5112141331311121.666666666723Woman
3/19/2021 12:12:29I am at least 18 years old and am willing to participate in this study411112322111211.64285714291.333333333346Woman
3/19/2021 12:50:51I am at least 18 years old and am willing to participate in this study411115312311111.85714285711.544Woman
3/19/2021 13:04:52I am at least 18 years old and am willing to participate in this study44ERROR:#DIV/0!53Man
3/19/2021 13:57:10I am at least 18 years old and am willing to participate in this study411113513111121.85714285711.556Woman
3/19/2021 14:14:00I am at least 18 years old and am willing to participate in this study111111111111111135Woman
3/20/2021 8:28:36I am at least 18 years old and am willing to participate in this study311111311121111.35714285711.166666666738Woman
3/20/2021 9:30:35I am at least 18 years old and am willing to participate in this study311314132342212.21428571432.333333333319Woman
3/20/2021 11:10:34I am at least 18 years old and am willing to participate in this study311314132342212.21428571432.333333333319Woman
3/20/2021 13:28:11I am at least 18 years old and am willing to participate in this study211213311211111.51.166666666747Woman
3/20/2021 13:43:05I am at least 18 years old and am willing to participate in this study511115354451443.14285714293.666666666731Woman
3/20/2021 13:53:37I am at least 18 years old and am willing to participate in this study111115111111111.2857142857159Woman
3/21/2021 14:52:45I am at least 18 years old and am willing to participate in this study211112322221211.64285714291.666666666745Woman
3/21/2021 19:57:07I am at least 18 years old and am willing to participate in this study111111111111111149Woman
3/25/2021 11:09:45I am at least 18 years old and am willing to participate in this study4111241142312122.166666666746Man
3/30/2021 15:16:09I am at least 18 years old and am willing to participate in this study21111212111111.23076923081.166666666727Man
4/1/2021 11:51:06I am at least 18 years old and am willing to participate in this study322134113121211.92857142861.666666666729Man
4/1/2021 11:52:33I am at least 18 years old and am willing to participate in this study44314411414322.76923076922.830Man
107.997252747324.6333333333

Sheet2

correctional between age and social media
r-0.017933238
n49
pThe P-Value is .907703. The result is not significant at p < .05.
correctional bewteen age and social media addiction
r
n49
p

SOCIAL MEDIA AND ADDICTION 1

Addictive being young and older on Social Media, why activities outdoors can prevent addiction.

Bernice Harris

Chicago State University

Abstract

Addictive being young and older on Social Media, why activities outdoor can prevent addiction.

The rise in social media use has coincided with a significant increase in the number of time people spent online over the past decade. Adults in the United States, for example, devote more than 6 hours a day to streaming channels. They will use applications and websites on their phones, laptops, computers, and other smart gadgets, including gaming consoles, to use social media. There is proof that people in other wealthy countries devote several hours a day online as well. Individuals, groups, and organizations can upload, co-create, address, partake in, and change user-generated or self-curated information shared online as users connect with any of these technological tools. Additionally, through the development of websites, podcasts, videos, and gaming pages, social media is used to record experiences, learn and discover topics, express oneself, build relationships, and grow ideas. The new field of techno personality focuses on the changing interactions between individuals and technology. This research aims to look at how people of different ages use social media.

Personal characteristics may certainly illustrate who uses social media and who does not the relationship between extraversion and openness is positive with social media, whereas the relation between emotional stability and social media is negative. Social media appear to be used more by people with greater social comparison alignment than people with less social comparison orientation. This literature review examines various factors affecting social media use by different groups and makes informed decisions on which age groups are most used in social media.

Social Media Usage Is Based on Appearance-Related Online Activity and Self-Esteem

Zimmer-Gembeck et al. (2021) looked at how attractiveness-related online behavior correlated with personality and appearance contrast. Self-presentation and presentation comparison, on the other hand, were more closely related. They discovered that younger generations used social media mostly to improve their looks. Midgley et al. (2020), on the other hand, correlated social media use by groups dependent on self-esteem. People who had poor self-esteem had severe upward similarities, which expected lower self-evaluations in between each correlation. Furthermore, people with poor self-esteem made more upward distinctions, implying that they would have lower self-esteem and satisfaction level during the session.

Social Media Use Based on Mood

Yuen et al. (2019) looked at how different people used social media depending on their mood. Their results indicated that since young people experience the most mood swings, they are more likely to use social media than adults. The findings showed that when participants selectively browsed Facebook, their mood had dramatically deteriorated relative to when they browsed the Internet. Furthermore, feelings of jealousy influenced the connection between online interaction and mood, but not feelings of meaning. Furthermore, according to Aalbers et al. (2019), PSMU attendance did not anticipate depressive symptoms, distress, or anxiety. On the other hand, previous exhaustion, and loneliness projected PSMU, implying that these symptoms would cause participants to browse through social media sites.

Hu et al. (2018), on the other side, say that the key effects of media personality and transgression seriousness on PSR elimination, attribution of triggers, and forgiving are important. The association between PSR and forgiving was partly influenced by cause attribution. As a result, Naslund et al. (2016) suggest that people with major mental illnesses who participated in lifestyle programs by the neighborhood and mental health centers have smartphone and internet access rates equal to the general population. Mobile phone use and the use of the Internet, instant messages, and social media are equal to the general public.

Social Media Usage Based on Age

According to Uchino et al. (2016), the number of ambivalent network relations expected higher diastolic blood pressure reactivity. There was also an Age Ambivalent Relations relationship, in which the number of ambivalent ties was linked to higher systolic blood pressure reactivity, particularly in older adults. These findings are explored in terms of how social networks affect people’s health across their lives. Von Hippel et al. (2008), on the other hand, conclude that social fulfilment in late adulthood derives from several outlets. Older people are more optimistic and less pessimistic than younger people. Nonetheless, cognitive interaction and working memory diminish with age, potentially limiting older adults’ social functioning. These socially facilitative vs. socially debilitative shifts were found to underpin social happiness stasis in the latest research of younger and older adults. The lack of an aggregate impact for age will obscure vying for social functioning improvements in late adulthood when social pleasure channels can shift even though the result does not.

Furthermore, Baltes & Lang (1997) say that the resource-rich group’s young-old older adults spent less time engaged in academic or cultural practices than the old-old older adults. This may be the outcome of compensating or refining techniques. Also, according to Yeung et al. (2008), the well-documented negative link between age and the number of peripheral social partners was observed only among Chinese adults with lower interdependence, not among those with higher interdependence. These results stress the importance of looking at the underlying cause rather than a specific SNC trend in various cultures.

Hypothesis

I predict younger people use social media more than older people. My study set out to explore the relationship between the time spent on social media use and age. The study further hypothesized that younger people tend to use social media more than older people. The literature review results support the hypothesis, meaning that younger people use social media more than older people. Some authors have associated this from the literature review with the younger people having less depression, being mentally stable, and more time to socialize than the older people.

Methods

Design

This study uses a correlational design to test the hypotheses was that who is more addictive on social media a younger or an older person are related to social dominance and social media orientation. Then mediational regression will be used to test whether these relationships are maintained when social desirability is included in the model. Finally, a between samples test will be conducted to determine if there are any gender differences for the personality variables or social dominance.

Participants

The study included a convenience survey of 60 volunteers who were recruited through my personal Facebook social media page. _____ percent of the participants were women (n = ___), ___ were men, two people indicated “other” for gender, and there were __ gender responses missing. The mean age was ___. The racial and ethnic breakdown was __.__% African American/Black (n = ___), __.__%.

Procedure

Friends, family, and classmates were recruited from on my face book Social Media page and posted on my survey window. After participants received a personal message with survey, they were taken directly to the online survey created on Qualtrics. They were first presented with an informed consent paragraph detailing the purpose of the study and any potential risks. By clicking “I agree” to the question “Are you at least 18 years old and do you agree to participate?”, they were giving their consent to continue with the study and were presented with the measures detailed below. At the end of the study, they were given a confirmation message to thank them for helping me fulfill my research requirements.

Measures

Time Spent on Social Media

A fourteen-item measure was developed for this study; survey items include “I’m on social media daily”. These items were measured on a 5-point scale from strongly agree to strongly disagree. Responds were (Averaged, for younger people, and average for older people). So that high scores indicate more time spent on social media.

Demographics

General demographics included questions about amount of time on social media, age, and gender. Participants were asked their social media usage on a 5-point scale from strongly agree to strongly disagree. These questions were used to evaluate the demographics of the sample.

References

Aalbers, G., McNally, R. J., Heeren, A., De Wit, S., & Fried, E. I. (2019). Social media and depression symptoms: A network perspective. Journal of Experimental Psychology: General148(8), 1454-1462. https://doi.org/10.1037/xge0000528

Baltes, M. M., & Lang, F. R. (1997). Everyday functioning and successful aging: The impact of resources. Psychology and Aging12(3), 433-443. https://doi.org/10.1037/0882-7974.12.3.433

Hu, M., Young, J., Liang, J., & Guo, Y. (2018). An investigation into audiences’ reactions to transgressions by liked and disliked media figures. Psychology of Popular Media Culture7(4), 484-498. https://doi.org/10.1037/ppm0000146

Midgley, C., Thai, S., Lockwood, P., Kovacheff, C., & Page-Gould, E. (2020). When every day is a high school reunion: Social media comparisons and self-esteem. https://doi.org/10.31234/osf.io/zmy29

Naslund, J. A., Aschbrenner, K. A., & Bartels, S. J. (2016). How people with serious mental illness use smartphones, mobile apps, and social media. Psychiatric Rehabilitation Journal39(4), 364-367. https://doi.org/10.1037/prj0000207

Uchino, B. N., Kent de Grey, R. G., & Cronan, S. (2016). The quality of social networks predicts age-related changes in cardiovascular reactivity to stress. Psychology and Aging31(4), 321-326. https://doi.org/10.1037/pag0000092

Von Hippel, W., Henry, J. D., & Matovic, D. (2008). Aging and social satisfaction: Offsetting positive and negative effects. Psychology and Aging23(2), 435-439. https://doi.org/10.1037/0882-7974.23.2.435

Yeung, D. Y., Fung, H. H., & Lang, F. R. (2008). Self-construal moderates age differences in social network characteristics. Psychology and Aging23(1), 222-226. https://doi.org/10.1037/0882-7974.23.1.222

Yuen, E. K., Koterba, E. A., Stasio, M. J., Patrick, R. B., Gangi, C., Ash, P., Barakat, K., Greene, V., Hamilton, W., & Mansour, B. (2019). undefined. Psychology of Popular Media Culture8(3), 198-206. https://doi.org/10.1037/ppm0000178

Zimmer-Gembeck, M. J., Hawes, T., & Pariz, J. (2021). A closer look at appearance and social media: Measuring activity, self-presentation, and social comparison and their associations with emotional adjustment. Psychology of Popular Media10(1), 74-86.

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