NTB_Multidimensional_FOMO_PSU dataset

A multidimensional view of fear of missing out as a mediator between the need to belong and problematic smartphone use. - The data was collected from a total of 149 Malaysian undergraduates, and is anonymized for confidentiality. - The data contains socio-demographic data, Need to Belong Scale (NTBS) scores (Leary et al., 2013), Fear of Missing Out (FoMO) scores (Przybylski et al., 2013), and Problematic Mobile Phone Use Questionnaire - Short Version scores (Lopez-Fernandez et al., 2018). The total scores for each scale are provided (items that are reverse-coded were used in the sum calculations instead of normal-coded items). - The study conceptualized FOMO using Casale and Fioravanti (2020)'s two factor structure, which divides total FoMO scores into FOMO-Fear (FoMO items 1, 2, 3, 4) and FOMO-Control (FoMO items 5, 6, 7, 8, 9, 10). The compute scores for both FOMO-Fear and FOMO-Control are already provided in the data. - NTB = need to belong, FOMO = Fear of missing out, PSU = problematic smartphone use.本数据集对应一项以错失焦虑（Fear of Missing Out, FoMO）为中介变量，探讨社交归属感需求与问题性智能手机使用之间关联的多维视角研究。 - 本数据集共收集了149名马来西亚大学生的相关数据，所有数据已完成匿名化处理以保障研究参与者的机密性。 - 数据集包含社会人口学数据、社交归属感量表（Need to Belong Scale, NTBS）得分（引自Leary等，2013）、错失焦虑（Fear of Missing Out, FoMO）得分（引自Przybylski等，2013）以及简版问题性移动电话使用问卷（Problematic Mobile Phone Use Questionnaire - Short Version）得分（引自Lopez-Fernandez等，2018）。所有量表的总分均已提供，且总分计算采用反向编码题项参与运算，而非正向编码题项。 - 本研究采用Casale与Fioravanti（2020）提出的双因子结构对错失焦虑（FoMO）进行概念界定，将FoMO总分划分为FoMO-焦虑（FoMO-Fear，对应FoMO题项1、2、3、4）与FoMO-控制（FoMO-Control，对应FoMO题项5、6、7、8、9、10）两个维度，数据集中已提供两个维度的计算得分。 - 缩写说明：NTB指代社交归属感需求（need to belong），FOMO指代错失焦虑（Fear of Missing Out），PSU指代问题性智能手机使用（problematic smartphone use）。