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Development and Validation of a Self-control Competency Scale for Late-school-aged Children

  • Received : 2020.08.17
  • Accepted : 2020.09.16
  • Published : 2020.10.31

Abstract

Purpose: The aim of this study was to develop a self-control competency scale for school-aged children and to confirm its reliability and validity. Methods: This study involved methodological research to verify the reliability and validity of a self-control competency scale for school-aged children. Data were collected from 438 students in the fifth and sixth grades of elementary school. Results: The self-control competency scale was composed of 13 items and six subscales (control of relationship with one's teacher, problem-solving, peer empathy, control of relationships with one's peers, impulse control, and emotional control). The internal consistency reliability of the scale was evaluated using Cronbach's α, which was .83 for the entire scale and ranged from .65 to .76 for the subscales. The model of six subscales was validated by CFA (CMIN/df=1.977; p<.001, GFI=.94, SRMR=.050, RMSEA=.065, IFI=.95, TLI=.93, CFI=.95). Concurrent validity was evaluated by comparing this scale to the scale developed by Nam and Ok (2000), and a significant correlation was found (r=.82, p<.001). On this scale, higher scores indicate higher levels of self-control among late-school-aged children. Conclusion: This scale can be used as a valid and reliable instrument for examining self-control competency among late-school-aged children.

Keywords

References

  1. Willems Y, Boesen N, Li J, Finkenauer C, Bartels M. The heritability of self-control: A meta-analysis. Neuroscience and Biobehavioral Reviews. 2019;100:324-334. https://doi.org/10.1016/j.neubiorev.2019.02.012
  2. Chen Z, Liu P, Zhang C, Feng T. Brain morphological dynamics of procrastination: The crucial role of the self-control, emotional, and episodic prospection network. Cerebral Cortex. 2020;30(5):2834-2853. https://doi.org/10.1093/cercor/bhz278
  3. Hockenberry MJ, Wilson D. Wong's nursing care of infants and children. 11th ed. St Louis, MO: Elsevier Inc; 2019. 8-23.
  4. Gottfredson MR, Hirschi T. A general theory of crime. California: Stanford University Press; 1990. p. 85-122.
  5. Miller R, Frohnwieser A, Schiestl M, McCoy DE, Gray RD, Taylor AH, et al. Delayed gratification in New Caledonian crows and young children: Influence of reward type and visibility. Animal Cognition. 2020;23(1):71-85. https://doi.org/10.1007/s10071-019-01317-7
  6. Nam HM, Ok SW. The effects of psychological family environment, self-control and friend characteristics of middle school students on their problem behaviors. Family and Environment Research. 2001; 39(7):37-58.
  7. Moffitt TE, Arseneault L, Belsky D, Dickson N, Hancox RJ, Harrington HL, et al. A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences. 2011;108(7):2693-2698. https://doi.org/10.1073/pnas.1010076108
  8. Strayhorn JM. Self-control: Theory and research. Journal of the American Academy of Child and Adolescent Psychiatry. 2002;41 (1):7-16. https://doi.org/10.1097/00004583-200201000-00006
  9. Duckworth AL, Kern ML. A meta-analysis of the convergent validity of self-control measures. Journal of Research in Personality. 2011;45 (3):259-268. https://doi.org/10.1016/j.jrp.2011.02.004
  10. Grasmick HG, Tittle CR, Bursik RJ, Arneklev BJ. Testing the core empirical implications of gottfredson and hirschi's general theory of crime. Journal of Research in Crime and Delinquency. 1993;30(1): 5-29. https://doi.org/10.1177/0022427893030001002
  11. Tangney JP, Baumeister RF, Boone AL. High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality. 2004;72(2):271-324. https://doi.org/10.1111/j.0022-3506.2004.00263.x
  12. Lee KN. The study for the development of child self-control rating scale. The Korean Journal of the Human Development. 2000;7(1): 99-120.
  13. Silver L. Smartphone ownership is growing rapidly around the world, but not always equally: In emerging economies, technology use still much more common among young people and the well-educated [Internet]. Washington: Pew Research Center; 2019 [cited 2020 October 2]. Available from: https://www.pewresearch.org/global/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally/
  14. Hong HG, Kim HS, Kim JH, Kim JH. Validity and reliability validation of the Korean version of the Brief Self-Control Scale (BSCS). Korean Journal of Psychology: General. 2012;31(4):1193-1210.
  15. DeVellis RF. Scale development: Theory and applications. 4th ed. Chapel Hill, USA: Sage publications; 2017.
  16. Swartz-Barcott D, Kim H. An expansion and elaboration of the hybrid model of concept development. In: Rodgers BL, Knafl KA, editors. Concept development in nursing. WB Saunders: Philadelphia; 2000.
  17. Wei D, Brigell R, Khadka A, Perales N, Fink G. Comprehensive school-based health programs to improve child and adolescent health: Evidence from Zambia. PLOS One. 2019;14(5):e0217893. https://doi.org/10.1371/journal.pone.0217893
  18. Polit DF, Beck CT. The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing and Health. 2006;29(5):489-497. https://doi.org/10.1002/nur.20147
  19. Gray JR, Grove SK, Sutherland S. Burns and grove's the practice of nursing research: Appraisal, synthesis, and generation of evidence. 8th ed. St. Louis, MO: WB Saunders company Philadelphia, PA; 2017. p. 373-383, 411-415, 561.
  20. Bujang MA, Baharum N. A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review. Archives of Orofacial Sciences. 2017;12(1):1-11.
  21. Lee EO, Lim NY, Park HA, Lee IS, Bae JY, Lee SM. Nursing research and statistical analysis. 1st ed. Seoul: Soomoonsa; 2009.
  22. Jang IS, Park S. Factors affecting on smartphone addiction according to the classification of addiction-risk groups among college students: A focus on self-control. Korean Journal of Adult Nursing. 2015;27(6):634-643. https://doi.org/10.7475/kjan.2015.27.6.634
  23. Kang HC. A guide on the use of factor analysis in the assessment of construct validity. Journal of Korean Academy of Nursing. 2013;43 (5):587-594. https://doi.org/10.4040/jkan.2013.43.5.587
  24. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. UK: Pearson Education; 2014. p. 89-150.
  25. Shi Y, Lenzi M, An R. Cannabis liberalization and adolescent cannabis use: A cross-national study in 38 countries. PLoS One. 2015;10(11):e0143562. https://doi.org/10.1371/journal.pone.0143562
  26. Roh KS. Statistical analysis of the thesis: SPSS & AMOS 21. 1st ed. Seoul: Hanbit Academy Inc.; 2014. p. 264-320.
  27. Buker H. Formation of self-control: Gottfredson and hirschi's general theory of crime and beyond. Aggression and Violent Behavior. 2011;16(3):265-276. https://doi.org/10.1016/j.avb.2011.03.005
  28. Chester DS, Lynam DR, Milich R, Powell DK, Andersen AH, DeWall CN. How do negative emotions impair self-control? A neural model of negative urgency. NeuroImage. 2016;132:43-50. https://doi.org/10.1016/j.neuroimage.2016.02.024
  29. Lee K, Shin S. Validity of instrument development research in Korean nursing research. Journal of Korean Academy of Nursing. 2013;43(6):697-703. https://doi.org/10.4040/jkan.2013.43.6.697
  30. Lynn MR. Determination and quantification of content validity. Nursing Research. 1986;35(6):382-386. https://doi.org/10.1097/00006199-198611000-00017