The Sussex Oxford Compassion for the Self Scale validity in a working sample using classical test theory, item response theory and network analysis

被引:0
作者
Meng, Hongxing [1 ]
Wang, Xiaozhuang [1 ,2 ,3 ]
Liu, Hongpei [1 ]
机构
[1] Tianjin Normal Univ, Fac Psychol, Tianjin, Peoples R China
[2] Tianjin Normal Univ, Acad Psychol & Behav, Tianjin, Peoples R China
[3] Tianjin Normal Univ, Tianjin Social Sci Lab Students Mental Dev & Learn, Tianjin, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2023年 / 14卷
关键词
self-compassion; Sussex Oxford Compassion for the Self Scale; item response theory; network analysis; Chinese occupational groups; RELIABILITY COEFFICIENT; FIT INDEXES; PACKAGE; ALPHA;
D O I
10.3389/fpsyg.2023.1110076
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Self-compassion is a relatively new construct in the scientific literature, and there is currently a lack of robust psychometric measures of self-compassion in the workplace. Therefore, validating the Sussex Oxford Compassion for the Self Scale (SOCS-S) in various cultural settings is essential to add to the existing research on the psychometric properties of the scale. This study aimed to evaluate the validity of the SOCS-S in a Chinese working sample of 1,132 participants (39.4% males) using classical test theory (CTT), item response theory (IRT), and Network Analysis. The results supported the validity of the SOCS-S's five-factor structure, with high internal consistency and measurement invariance across genders. IRT was applied using a graded response model (GRM) to assess the overall SOCS-S scale items, indicating that all 20 items had sufficient discrimination indices and acceptable difficulty indices. Moreover, it is worth noting that the results of the network analysis are consistent with those of the IRT analysis. In summary, the study confirms the validity of the SOCS-S as a scale for assessing self-compassion among Chinese occupational groups.
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页数:11
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共 70 条
  • [11] Evaluating goodness-of-fit indexes for testing measurement invariance
    Cheung, GW
    Rensvold, RB
    [J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2002, 9 (02) : 233 - 255
  • [12] An Investigation of Emotional Intelligence Measures Using Item Response Theory
    Cho, Seonghee
    Drasgow, Fritz
    Cao, Mengyang
    [J]. PSYCHOLOGICAL ASSESSMENT, 2015, 27 (04) : 1241 - 1252
  • [13] The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review
    Contreras, Alba
    Nieto, Ines
    Valiente, Carmen
    Espinosa, Regina
    Vazquez, Carmelo
    [J]. PSYCHOTHERAPY AND PSYCHOSOMATICS, 2019, 88 (02) : 71 - 83
  • [14] Cultural risk and management strategy for Chinese enterprises' overseas investment
    Dang, Linjing
    Zhao, Jingfeng
    [J]. CHINA ECONOMIC REVIEW, 2020, 61
  • [15] Further Validation of a Dutch Translation of the Sussex Oxford Compassion for the Self Scale in Samples of Crisis Line Volunteers, Military Personnel and Nursing Students
    de Krijger, Eva
    Willems, Renate
    ten Klooster, Peter
    Bakker, Ellen
    Miedema, Harald
    Drossaert, Constance
    Bohlmeijer, Ernst
    [J]. FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [16] Self-compassion in organizations: A review and future research agenda
    Dodson, Samantha J.
    Heng, Yu Tse
    [J]. JOURNAL OF ORGANIZATIONAL BEHAVIOR, 2022, 43 (02) : 168 - 196
  • [17] From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation
    Dunn, Thomas J.
    Baguley, Thom
    Brunsden, Vivienne
    [J]. BRITISH JOURNAL OF PSYCHOLOGY, 2014, 105 (03) : 399 - 412
  • [18] Compassion at Work
    Dutton, Jane E.
    Workman, Kristina M.
    Hardin, Ashley E.
    [J]. ANNUAL REVIEW OF ORGANIZATIONAL PSYCHOLOGY AND ORGANIZATIONAL BEHAVIOR, VOL 1, 2014, 1 : 277 - 304
  • [19] Eby L.T., 2016, The Oxford handbook of work and family, DOI DOI 10.1093/OXFORDHB/9780199337538.013
  • [20] Estimating psychological networks and their accuracy: A tutorial paper
    Epskamp, Sacha
    Borsboom, Denny
    Fried, Eiko I.
    [J]. BEHAVIOR RESEARCH METHODS, 2018, 50 (01) : 195 - 212