IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v27y2018i3p364-385.html
   My bibliography  Save this article

Psychometric Evaluation of the Vietnamese Hemodialysis Stressor Scale

Author

Listed:
  • Thi Loan Dang
  • Fu-Chih Lai
  • Yen-Kuang Lin
  • Kuei-Ru Chou
  • Nae-Fang Miao
  • Yuan-Mei Liao

Abstract

The lack of a suitable assessment tool may limit optimal stress management and impair the health-related quality of life of patients undergoing hemodialysis. The purpose of the study was to examine latent constructs and psychometric properties of the Vietnamese Hemodialysis Stressor Scale (HSS-V). In total, 180 patients receiving hemodialysis were recruited. Psychometric properties of the HSS-V, including the construct validity, internal consistency, and test–retest reliability, were tested after the instrument translation. The exploratory factor analysis resulted in a 24-item HSS-V with four extracted factors, which explained 58.32% of the total variance. The construct validity was confirmed by significant negative correlations between scores on the HSS-V and Vietnamese-version Short Form-36. The internal consistency (Cronbach’s α = .82-.91) and test–retest reliability (intra-class correlations coefficient = .91-.94) of the 24-item HSS-V were satisfactory. A simple structure and preliminary acceptable psychometric properties of the HSS-V were established and can serve as a basis for further studies.

Suggested Citation

  • Thi Loan Dang & Fu-Chih Lai & Yen-Kuang Lin & Kuei-Ru Chou & Nae-Fang Miao & Yuan-Mei Liao, 2018. "Psychometric Evaluation of the Vietnamese Hemodialysis Stressor Scale," Clinical Nursing Research, , vol. 27(3), pages 364-385, March.
  • Handle: RePEc:sae:clnure:v:27:y:2018:i:3:p:364-385
    DOI: 10.1177/1054773816631724
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1054773816631724
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1054773816631724?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    2. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    3. Cheryl Glover & Pauline Banks & Amanda Carson & Colin Martin & Tim Duffy, 2011. "Understanding and Assessing the Impact of End-Stage Renal Disease on Quality of Life," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 4(1), pages 19-30, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raveenajit Kaur A. P. & Kalvant Singh & Alberto Luis August, 2021. "Exploring the Factor Structure of the Constructs of Technological, Pedagogical, and Content Knowledge (TPACK): An Exploratory Factor Analysis Based on the Perceptions of TESOL Pre-Service Teachers at ," Research Journal of Education, Academic Research Publishing Group, vol. 7(2), pages 103-115, 06-2021.
    2. Anum Khan & Muhammad Shujaat Mubarik, 2022. "Measuring the role of neurotransmitters in investment decision: A proposed constructs," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 258-274, January.
    3. Timothy P Moss & Victoria Lawson & Paul White & The Appearance Research Collaboration, 2014. "Salience and Valence of Appearance in a Population with a Visible Difference of Appearance: Direct and Moderated Relationships with Self-Consciousness, Anxiety and Depression," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-8, February.
    4. Emilio Moyano-Díaz & Agustín Martínez-Molina & Fernando P. Ponce, 2014. "The price of gaining: maximization in decision-making, regret and life satisfaction," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(5), pages 500-509, September.
    5. Hamed Taherdoost & Shamsul Sahibuddin & Neda Jalaliyoon, 2014. "Exploratory Factor Analysis; Concepts and Theory," Post-Print hal-02557344, HAL.
    6. Markus Heckel & Kiyohiko G. Nishimura, 2020. "Unconventional Monetary Policy through Open Market Operations: A Principal Component Analysis," CARF F-Series CARF-F-501, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Mogos Descotes, Raluca & Walliser, Björn & Holzmüller, Hartmut & Guo, Xiaoling, 2011. "Capturing institutional home country conditions for exporting SMEs," Journal of Business Research, Elsevier, vol. 64(12), pages 1303-1310.
    8. Irene Scopelliti & H. Lauren Min & Erin McCormick & Karim S. Kassam & Carey K. Morewedge, 2018. "Individual Differences in Correspondence Bias: Measurement, Consequences, and Correction of Biased Interpersonal Attributions," Management Science, INFORMS, vol. 64(4), pages 1879-1910, April.
    9. Agyeman, Stephen & Cheng, Lin, 2020. "Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes," Transport Policy, Elsevier, vol. 99(C), pages 63-85.
    10. repec:cup:judgdm:v:9:y:2014:i:5:p:500-509 is not listed on IDEAS
    11. Nicole Casali & Tommaso Feraco & Marta Ghisi & Chiara Meneghetti, 2021. "“Andrà tutto bene”: Associations Between Character Strengths, Psychological Distress and Self-efficacy During Covid-19 Lockdown," Journal of Happiness Studies, Springer, vol. 22(5), pages 2255-2274, June.
    12. Frestad, Dennis, 2008. "Common and unique factors influencing daily swap returns in the Nordic electricity market, 1997-2005," Energy Economics, Elsevier, vol. 30(3), pages 1081-1097, May.
    13. Hales, Jeffrey & Moon, James R. & Swenson, Laura A., 2018. "A new era of voluntary disclosure? Empirical evidence on how employee postings on social media relate to future corporate disclosures," Accounting, Organizations and Society, Elsevier, vol. 68, pages 88-108.
    14. Alexis Dinno, 2009. "Implementing Horn’s parallel analysis for principal component analysis and factor analysis," Stata Journal, StataCorp LP, vol. 9(2), pages 291-298, June.
    15. Karim S Kassam & Amanda R Markey & Vladimir L Cherkassky & George Loewenstein & Marcel Adam Just, 2013. "Identifying Emotions on the Basis of Neural Activation," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-12, June.
    16. Patil, Vivek H. & Singh, Surendra N. & Mishra, Sanjay & Todd Donavan, D., 2008. "Efficient theory development and factor retention criteria: Abandon the `eigenvalue greater than one' criterion," Journal of Business Research, Elsevier, vol. 61(2), pages 162-170, February.
    17. Golino, Hudson F. & Demetriou, Andreas, 2017. "Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis," Intelligence, Elsevier, vol. 62(C), pages 54-70.
    18. Estrada, Samantha & Floren, Michael & Harding, Justin & Wroblewski, Matthew, 2021. "What is your research question? A mixed methods evaluation of an academic statistical consulting center," Evaluation and Program Planning, Elsevier, vol. 89(C).
    19. Stevanovic Dalibor, 2016. "Common time variation of parameters in reduced-form macroeconomic models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 159-183, April.
    20. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    21. A. Fadlelmawla & M. Al-Otaibi, 2005. "Analysis of the Water Resources Status in Kuwait," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 555-570, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:clnure:v:27:y:2018:i:3:p:364-385. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.