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Statistics Presentation

Personality, Self-Confidence, and Intelligence: How Social Network Habits Reveal Who We Are
by

Micaela Gosling

on 14 March 2013

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Transcript of Statistics Presentation

Is Facebook Creating "iDisorders"? The link between clinical symptoms of psychiatric disorders and technology use, attitudes, and anxiety Methods Future Directions Purpose:
Past research has shown mixed results with regard to psychopathology and social networking use
Some studies have shown positive correlations with SNS frequency of use and MDD, others have shown negative correlations or no relationship
Studied if FB use, technology attitudes, and anxieties were predictive of personality and/or mood disorders
Hypotheses:
Adults who use more technology & media, particularly social media, will show increased clinical symptoms of psychiatric disorders
Adults who show more negative attitudes toward technology will show increased clinical symptoms of psychiatric disorders Stats and Results A hierarchical multiple regression was performed and adjusted for demographics
Determined which variables provided significant prediction in a simultaneous regression
More time online and more FB impression management related to more clinical symptoms of major depression
More FB friends, fewer symptoms of dysthymia
Predictors of mania: more FB general use, more FB impression management, more FB friends
Predictors of narcissism & histrionic PD: more FB friends, more impression management, and more general use
General use and impression management also predicted more signs of ASPD & compulsive disorders
Predictors of paranoia & schizoid PD: more FB general use and fewer FB friends
Predictors of mania: More general FB use, more FB impression management, and more FB friends Personality, Self-Confidence, and Psychopathology: How Internet Habits Reveal Who We Are Micaela Birt
Statistics & Research Methods
3/14/13 Niemz, M., Griffiths, M., & Banyard, P. (2005).
Prevalence of pathological internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition. CyberPsychology & Behavior, 8(6), 562-570.

Rosen, L.D., Whaling, K., Carrier, L.M., & Cheever, N.A.
(2013). Is Facebook creating “iDisorders”? The link between clinical symptoms of psychiatric disorders and technology use, attitudes and anxiety. Computers in Human Behavior.

Seidman, G. (2013). Self-presentation and belonging on
Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54, 402-407. References L.D. Rosen, K. Whaling, S. Rab, L.M. Carrier, N.A. Cheever Methods
Teens, young adults, & adults (N=1143) completed an anonymous online questionnaire assessing internet and technology related behaviors, as well as symptoms of psychopathology
Clinical symptoms of psychological disorders measured with the MCMI-III: Million Multiaxial Clinical Inventory
Questions specific to FB usage: frequency of reading postings, posting status updates, posting photos, commenting on posts or statuses, commenting on photos, "checking in", changing or updating profile, browsing profiles, browsing photos, “liking” things, adding or requesting new friends, FB chatting, joining or creating events, playing games, joining or creating groups
also asked about # of friends and how many they’d actually met Limitations Prevalence of Pathological Internet Use among University Students and Correlations with Self-esteem, the GHQ, and Disinhibition. M. Niemz, M. Griffiths, & P. Banyard Hypotheses & Methods Hypotheses:
PI users more likely to be males studying hard science courses, would spend more hours per week online, would be more socially disinhibited, would have lower self-esteem, and higher GHQ scores
371 British students responded to a questionnaire, which included the Pathological Internet Use scale, the Mental Health Questionnaire, Rosenberg Self-Esteem Scale, two measures of disinhibition, and demographic questions
Results were analyzed with ANOVA, Multiple Regression, and Chi Square
Participants were classified into three categories based on results: pathological internet users (4+ symptoms), limited symptoms (1-3), and no symptoms Results & Statistics 18.3% of sample were pathological internet users, 51% had limited symptoms, and 30.5% had no symptoms
Pathological internet users had lower self-esteem and were more socially disinhibited
more online friends, friendlier, more liberated and open, more likely to share secrets
Pathological internet use caused problems in academic, social, and interpersonal areas of life
Males had a higher average number of pathological symptoms (M=2.6) than females (M=1.5)
ANOVA showed this was statistically significant, p<.01
Positive correlation between hours spent online and PI symptoms, p<.01
No significant relationship between PIU and GHQ, p=.118 Purpose:
Internet Addiction Disorder (Pathological internet use) is a growing problem. Past studies have shown that PI users are more likely to be male, college-age, have lower self-esteem, and be less inhibited than the general population.
Symptoms of IAD: withdrawal symptoms such as anxiety and depression when not online, tolerance (e.g. spending longer amounts of time in chat rooms), mood-altering, and preoccupation with one's online activities
This study aimed to replicate past findings and see if they were applicable to the British college population. Self-presentation and Belonging on Facebook: How Personality Influences Social Media Use and Motivations G. Seidman Purpose:

Facebook is motivated by the needs for belonging and self-presentation (Nadkarni & Hofmann, 2012). This study assessed how personality influences these motivations, and how it relates to FB behaviors in general.
Belonging:
two types: communication related behaviors and information seeking
Self-disclosure
two types: general self-disclosure and emotional self-disclosure
Self-presentational motivations were also examined: attention-seeking, and presentation of actual, hidden, and ideal self-aspects
Looked at the Big Five traits to assess personality: Agreeableness, Openness, Neuroticism, Extraversion, and Conscientiousness
The researchers came up with ten different hypotheses Statistics & Results 184 undergraduate students participated in an online survey for extra credit
Big Five
assessed with Snacier's (1994) version of Goldberg's Big 5 markers
Belongingness
four scales
two assessing belongingness behaviors
two assessing motivations
Self-presentation
six scales
two assessing self-presentational behaviors
one assessing attention-seeking motivation
three assessing the extent to which FB was used to express actual, hidden, and ideal self-aspects Regression analyses were used to test the relationship between the Big Five and belongingness and self-presentation.
Agreeableness and neuroticism best predicted belongingness related actions
Extraverts were more active on FB
Neuroticism, agreeableness, and extroversion positively correlated with self-expression
Conscientiousness and agreeableness better predictors of motivation vs. frequency of behaviors Not evidence based
Not a broad demographic studied
mostly college/young adult age
No longitudinal data
Mostly self-report--people lie!
What do we do with this information? Cross sequential studies
Study younger children and older adults
Look at prediction and causation in addition to correlation
What can we do with this information?
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