Associations between gender, personality, self-esteem with UiTM Seremban students’ Instagram profiles / Nur Tsara Zulkifli, Rosfadilla Nur Rosli and Siti Nuraleiyah Jamal

Zulkifli, Nur Tsara and Nur Rosli, Rosfadilla and Jamal, Siti Nuraleiyah (2021) Associations between gender, personality, self-esteem with UiTM Seremban students’ Instagram profiles / Nur Tsara Zulkifli, Rosfadilla Nur Rosli and Siti Nuraleiyah Jamal. [Student Project] (Unpublished)

Abstract

In the era where it is considered normal to post daily lives on social media, it is important to distinguish the key factor that decides how one presents themselves online. In this research 280 full-time degree students from Universiti Teknologi Mara (UiTM) were chosen as the sample. Quota sampling is used for this study where out of the 280 participants who take part in this study, 219 (78.21%) of the respondents were women and 61 (21.79%) of them were male. The data collection method used for this study is through online questionnaires since there is a current coronavirus pandemic, Covid-19 that is affecting the whole world. This research aims to determine the association between gender, personality, and self-esteem with UiTM students’ Instagram profiles. The Instagram profile is determined through the number of followers, the number of followings, and the number of posts on each respondent’s Instagram. Mann-Whitney test, Kruskal-Wallis test, and pairwise comparison are used for this study since the data is not normally distributed. Based on the results, the number of posts on Instagram is found to be associate with low extraversion of personality. In other words, students with low extraversion personality tend to post more on their Instagram account.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Zulkifli, Nur Tsara
UNSPECIFIED
Nur Rosli, Rosfadilla
UNSPECIFIED
Jamal, Siti Nuraleiyah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abdul Wahab, Nurul Aini
UNSPECIFIED
Subjects: B Philosophy. Psychology. Religion > BJ Ethics
H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > Statistical data
L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA > Negeri Sembilan
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Statistics
Keywords: Associations Between Gender, Personality, Self-Esteem, UiTM Seremban Students’, Instagram
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/59275
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