Psychometric properties of the Chinese version of the Need for Privacy Scale

被引:0
作者
Wang, Hao [1 ]
Cheng, Ming [1 ]
Zhu, Wenlan [1 ]
机构
[1] Wuhan Univ, Sch Journalism & Commun, Bayi Rd, Wuhan, Hubei, Peoples R China
来源
DIGITAL HEALTH | 2024年 / 10卷
关键词
Digital age; need for privacy scale; psychometric properties; Chinese; bifactor-ESEM model; CROSS-CULTURAL ADAPTATION; SELF-DISCLOSURE; VALIDATION; FACEBOOK; LONELINESS; MODEL; TOO;
D O I
10.1177/20552076241284685
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Introduction The need for privacy is a high-order psychological need of human, which is closely related to human mental health problems in the digital age. The Need for Privacy Scale (NFP-S) is a reliable measure of need for privacy. This study tested its psychometric characteristics among Chinese populations.Methods Firstly, we modified and translated the NFP-S into Chinese version (NFP-SC). Subsequently, we invited 15 participants to complete pre testing of the NFP-SC and determined the final version. Next, we collected questionnaire data from 1130 participants for confirmatory factor analysis to confirm factor structure and validate convergent validity.Results The results showed that the bifactor Exploratory Structural Equation Modeling (bifactor-ESEM) could better reflect the potential structure of NFP-SC, which included one general factor of need for privacy and three specific factors which were the informational need for privacy, the psychological need for privacy, and the physical need for privacy. Based on the bifactor-ESEM model, the measurement invariance of NFP-SC was demonstrated across gender groups. The general factor and specific factor of NFP-SC showed good reliability with high McDonald's coefficient omega. Convergent validity was tested by verifying the relationship between NFP-SC and four covariates.Conclusions Our study results showed that NFP-SC exhibited satisfactory psychometric properties in the Chinese context, meaning that it could be applied for future studies on investigating need for privacy in Chinese populations. Future research could build panel data by gathering data from different periods, and supplement the test-retest reliability of NFP-S to improve its application effect.
引用
收藏
页数:12
相关论文
共 60 条
[1]   Beyond surveillance capitalism: Privacy, regulation and big data in Europe and China [J].
Aho, Brett ;
Duffield, Roberta .
ECONOMY AND SOCIETY, 2020, 49 (02) :187-212
[2]   Development and Validation of Social Anxiety Scale for Social Media Users [J].
Alkis, Yunus ;
Kadirhan, Zafer ;
Sat, Mustafa .
COMPUTERS IN HUMAN BEHAVIOR, 2017, 72 :296-303
[3]   Privacy in hospital [J].
Back, E ;
Wikblad, K .
JOURNAL OF ADVANCED NURSING, 1998, 27 (05) :940-945
[4]   Guidelines for the process of cross-cultural adaptation of self-report measures [J].
Beaton, DE ;
Bombardier, C ;
Guillemin, F ;
Ferraz, MB .
SPINE, 2000, 25 (24) :3186-3191
[5]   The need for privacy with public digital contact tracing during the COVID-19 pandemic [J].
Bengio, Yoshua ;
Janda, Richard ;
Yu, Yun William ;
Ippolito, Daphne ;
Jarvie, Max ;
Pilat, Dan ;
Struck, Brooke ;
Krastev, Sekoul ;
Sharma, Abhinav .
LANCET DIGITAL HEALTH, 2020, 2 (07) :E342-E344
[6]   Self-presentation styles, privacy, and loneliness as predictors of Facebook use in young people [J].
Blachnio, Agata ;
Przepiorka, Aneta ;
Boruch, Wioleta ;
Balakier, Edyta .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2016, 94 :26-31
[7]   PRIVACY AND FREEDOM - WESTIN,AF [J].
BOGUSLAW, R .
AMERICAN SOCIOLOGICAL REVIEW, 1968, 33 (01) :173-175
[8]   Too Many Facebook "Friends"? Content Sharing and Sociability Versus the Need for Privacy in Social Network Sites [J].
Brandtzaeg, Petter Bae ;
Lueders, Marika ;
Skjetne, Jan Havard .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2010, 26 (11-12) :1006-1030
[9]   Too much Facebook? An exploratory examination of social media fatigue [J].
Bright, Laura F. ;
Kleiser, Susan Bardi ;
Grau, Stacy Landreth .
COMPUTERS IN HUMAN BEHAVIOR, 2015, 44 :148-155
[10]  
Burgoon JK., 1982, COMMUNICATION YB, V6, P206, DOI DOI 10.1080/23808985.1982.11678499