Nomophobia (the fear of being disconnected from a smartphone) severely impacts social and mental problems in society, so it is essential to measure the nomophobia levels to anticipate more severe problems in society. Even so, the validated nomophobia instrument still needs to be looked at to see how it can be used in the current situation. This study, therefore, aims to assess and develop a valid and reliable nomophobia instrument. This research method used a survey approach conducted on 75 students in West Java. Data analysis to test validity and reliability employed Rasch modeling with Winstep, consisting of 1) item and person reliability validity testing, 2) Wright Map person and item instruments, 3) rating scale analysis, and 4) exploratory analysis factors. Then, to find out the level of nomophobia among college students, descriptive statistical analysis was applied. The analysis results revealed that out of 15 instruments, 11 had the feasibility to be used in measuring the nomophobia construct with four dimensions: 1) the dimension of loss of connectedness, 2) the dimension of giving up convenience, 3) the dimension of inability to communicate, and 4) the dimension of inability to access information. Meanwhile, for instrument answers, the Nomophobia scale score is recommended to be ranked from 1 to 4.
Juli 2021, gelombang Delta menerpa Indonesia menjadikan negara dengan kasus harian COVID-19 terbanyak di dunia. Angka tersebut terlampaui pada Februari 2022 dengan kasus harian 55.000 orang. Cuitan Twitter presiden dan gubernur (Jawa Barat, D.K.I. Jakarta, Jawa Tengah, dan Jawa Timur) selama dua gelombang COVID-19 dikaji dengan menerapkan metode analisis isi untuk melihat perbedaan sifat cuitan antar satu akun dan antara gelombang Delta dengan Omicron. Cuitan diklasifikasikan berdasarkan gaya (request, first-person & second-person), strategi (information, bonding, & action), suasana (optimis, pesimis, netral, & nihil), dan tema (COVID-19, ekologi, ekonomi, politik pemerintahan, sosial budaya, sains). Dari 760 cuitan, 27 di antaranya dianalisis karena tidak memenuhi standar kalimat yang layak. Uji Chi-Square menunjukkan, Jokowi didominasi oleh pesan first-person, Ganjar didominasi pesan second-person, Anies didominasi pesan bonding, dan Khofifah didominasi pesan COVID-19 dibandingkan bukan COVID-19. Dari sisi jenis gelombang, membuktikan bahwa pesan request, first-person, aksi, dan COVID-19 berkurang secara signifikan saat gelombang Omicron dibandingkan gelombang Delta. Penggunaan cuitan optimis cenderung konsisten, baik di antara akun maupun gelombang. Potensi Twitter dalam penggunaan pesan bonding dan aksi sudah digunakan oleh kelima pemimpin. Perbedaan konsentrasi pesan COVID-19 dan aksi tetap perlu dilakukan dengan pertimbangan ahli terkait, terutama dalam kaitannya dengan kesehatan fisik dan mental masyarakat.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.