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.本研究以错失焦虑（Fear of Missing Out, FoMO）的多维度视角，探究其在归属需求与问题性智能手机使用间的中介效应。 本数据集共纳入149名马来西亚本科生的调研数据，且已做匿名化处理以保障研究保密性。 数据集包含社会人口学特征数据、归属需求量表（Need to Belong Scale, NTBS）得分（Leary等，2013）、错失焦虑量表得分（Przybylski等，2013）以及问题性智能手机使用问卷简版得分（Lopez-Fernandez等，2018）。各量表的总分均已提供，计分过程中采用反向编码题项而非正向编码题项进行求和计算。 本研究采用Casale与Fioravanti（2020）提出的双因子结构对错失焦虑进行概念界定，将总错失焦虑得分划分为「错失焦虑-恐惧型」（FoMO题项1、2、3、4）与「错失焦虑-控制型」（FoMO题项5、6、7、8、9、10）两个子维度，数据集中已提供两类子维度的计算得分。 注：NTB指代归属需求，FOMO指代错失焦虑，PSU指代问题性智能手机使用。