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Year 2020, Volume 3, Issue 3, 130 - 134, 29.12.2020
https://doi.org/10.33187/jmsm.808041

Abstract

References

  • [1] Y. Sawada, Y. Takasaki, Natural Disaster, Poverty, andDevelopmen: An Introduction, World Development, 94, (2017), 2–15.
  • [2] OECD, Guidelines on DisasterMitigation. (1994) http://www.oecd.org/dac/environment-development/1887740.pdf (Access 04.04.2020) [3] E. H. Erikson, Identity: Youth and crisis, New York: Norton, 1968.
  • [4] N. Topac¸, M. Bardak, D. D. U¨ nal The Right to Play and Reasons for Not Accessing the Child’s Right to Play. Proceedings of 5th International Social Humanities and Educational Sciences Congress (ISBN: 978-605-7594-40-2), December, 19-20, 2019, 675–680 (Turkish).
  • [5] N. Topac¸, M. Bardak, The Place of Early Childhood Education Institutions in Child Getting the Habit of Cleaning. Proceedings of 5th International Social Humanities and Educational Sciences Congress (ISBN: 978-605-7594-40-2). December, 19-20, 2019, 681-686 (Turkish).
  • [6] J.B. Houston, J. First, M.L. Spialek, M.E. Sorenson, M. Koch, Public disaster communication and child and family disaster mental health: A review of theoretical frameworks and empirical evidence. Current Psychiatry Reports, 18(54) (2016), 1–9.
  • [7] M.R. Dadds, D.E. Holland, K.R. Laurens, M. Mullins, P.M. Barrett, S.H. Spence, Early intervention and prevention of anxiety disorders in children: Results at 2-year follow-up. Journal of Consulting and Clinical Psychology, 67 (1) (1999), 145–150.
  • [8] N. Sourial, C. Wolfson, B. Zhu, J. Quai, J. Fletcher, S. Karunananthan, K. Banden-Roche, F. Beland, H. Bergman, Correspondence analysis is a useful tool to uncover the relationships among categorical variables. Journal of Clinical Epidemiology, 63(6) (2010), 638–646. https://doi.org/10.1016/j.jclinepi.2009.08.008
  • [9] V. Audigier, F. Husson, J. Josse, MIMCA: multiple imputation for categorical variables with multiple correspondence analysis. Statistics and Computing, 27, (2017), 501–518.
  • [10] G. Di Franco, Multiple correspondence analysis: one only or several techniques?. Quality & Quantity, 50, (2016), 1299–1315
  • [11] D. Hoffman, J. De Leeuw, Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters, 3(3) (1992), 259–272.
  • [12] A. Parchomenko, D. Nelen, J. Gillabel, H. Rechberger, Measuring the circular economy — A Multiple Correspondence Analysis of 63 metrics. J. Clean. Prod. 210 (2019), 200–216.
  • [13] E. Pearson, S. Degotardi, Education for sustainable development in early childhood education: A global solution to local concerns?. International Journal of Early Childhood, 41(2) (2009), 97–111.
  • [14] U. Bronfenbrenner, Ecological systems theory. Annals of Child Development, 6, (1989), 187–249.
  • [15] A. Bandura, Social Learning Theory, Englewood Cliffs, NJ: Prentice Hall, 1977.
  • [16] National Academies of Sciences, Engineering and Medicine. Vibrant and Healthy Kids: Aligning Science, Practice, and Policy to Advance Health Equity, Washington DC, The National Academies Press, 2019.

Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis

Year 2020, Volume 3, Issue 3, 130 - 134, 29.12.2020
https://doi.org/10.33187/jmsm.808041

Abstract

Multiple correspondence analysis is an extension of correspondence analysis that consent one to examine the stencil of intercourses of several categorical dependent variables. The aim of this study is to analyze the cognitions, feelings, and thoughts of early childhood children who stayed at home during the quarantine process due to coronavirus with multiple correspondence analysis. The theory and commentary of multiple correspondence analysis in the case of two and more than two variables are provided through an example. The result from multiple correspondence analysis is a graphical monitor of the rows and columns of a contingency table that is conceived to permission visualization of the prominent correlations among the variable responses in a low-dimensional space. Such a presentment discloses a more global picture of the correlations among row-column pairs.

References

  • [1] Y. Sawada, Y. Takasaki, Natural Disaster, Poverty, andDevelopmen: An Introduction, World Development, 94, (2017), 2–15.
  • [2] OECD, Guidelines on DisasterMitigation. (1994) http://www.oecd.org/dac/environment-development/1887740.pdf (Access 04.04.2020) [3] E. H. Erikson, Identity: Youth and crisis, New York: Norton, 1968.
  • [4] N. Topac¸, M. Bardak, D. D. U¨ nal The Right to Play and Reasons for Not Accessing the Child’s Right to Play. Proceedings of 5th International Social Humanities and Educational Sciences Congress (ISBN: 978-605-7594-40-2), December, 19-20, 2019, 675–680 (Turkish).
  • [5] N. Topac¸, M. Bardak, The Place of Early Childhood Education Institutions in Child Getting the Habit of Cleaning. Proceedings of 5th International Social Humanities and Educational Sciences Congress (ISBN: 978-605-7594-40-2). December, 19-20, 2019, 681-686 (Turkish).
  • [6] J.B. Houston, J. First, M.L. Spialek, M.E. Sorenson, M. Koch, Public disaster communication and child and family disaster mental health: A review of theoretical frameworks and empirical evidence. Current Psychiatry Reports, 18(54) (2016), 1–9.
  • [7] M.R. Dadds, D.E. Holland, K.R. Laurens, M. Mullins, P.M. Barrett, S.H. Spence, Early intervention and prevention of anxiety disorders in children: Results at 2-year follow-up. Journal of Consulting and Clinical Psychology, 67 (1) (1999), 145–150.
  • [8] N. Sourial, C. Wolfson, B. Zhu, J. Quai, J. Fletcher, S. Karunananthan, K. Banden-Roche, F. Beland, H. Bergman, Correspondence analysis is a useful tool to uncover the relationships among categorical variables. Journal of Clinical Epidemiology, 63(6) (2010), 638–646. https://doi.org/10.1016/j.jclinepi.2009.08.008
  • [9] V. Audigier, F. Husson, J. Josse, MIMCA: multiple imputation for categorical variables with multiple correspondence analysis. Statistics and Computing, 27, (2017), 501–518.
  • [10] G. Di Franco, Multiple correspondence analysis: one only or several techniques?. Quality & Quantity, 50, (2016), 1299–1315
  • [11] D. Hoffman, J. De Leeuw, Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters, 3(3) (1992), 259–272.
  • [12] A. Parchomenko, D. Nelen, J. Gillabel, H. Rechberger, Measuring the circular economy — A Multiple Correspondence Analysis of 63 metrics. J. Clean. Prod. 210 (2019), 200–216.
  • [13] E. Pearson, S. Degotardi, Education for sustainable development in early childhood education: A global solution to local concerns?. International Journal of Early Childhood, 41(2) (2009), 97–111.
  • [14] U. Bronfenbrenner, Ecological systems theory. Annals of Child Development, 6, (1989), 187–249.
  • [15] A. Bandura, Social Learning Theory, Englewood Cliffs, NJ: Prentice Hall, 1977.
  • [16] National Academies of Sciences, Engineering and Medicine. Vibrant and Healthy Kids: Aligning Science, Practice, and Policy to Advance Health Equity, Washington DC, The National Academies Press, 2019.

Details

Primary Language English
Subjects Mathematics
Journal Section Articles
Authors

Nihat TOPAÇ
HASAN ALİ YÜCEL EĞİTİM FAKÜLTESİ
0000-0001-9364-4072
Türkiye


Musa BARDAK
ISTANBUL SABAHATTIN ZAIM UNIVERSITY
0000-0001-5585-8002
Türkiye


Seda BAĞDATLI KALKAN
ISTANBUL COMMERCE UNIVERSITY
Türkiye


Murat KİRİSCİ (Primary Author)
CERRAHPAŞA TIP PR.
Türkiye

Publication Date December 29, 2020
Application Date October 9, 2020
Acceptance Date December 18, 2020
Published in Issue Year 2020, Volume 3, Issue 3

Cite

Bibtex @research article { jmsm808041, journal = {Journal of Mathematical Sciences and Modelling}, issn = {2636-8692}, address = {}, publisher = {Mahmut AKYİĞİT}, year = {2020}, volume = {3}, pages = {130 - 134}, doi = {10.33187/jmsm.808041}, title = {Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis}, key = {cite}, author = {Topaç, Nihat and Bardak, Musa and Bağdatlı Kalkan, Seda and Kirisci, Murat} }
APA Topaç, N. , Bardak, M. , Bağdatlı Kalkan, S. & Kirisci, M. (2020). Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis . Journal of Mathematical Sciences and Modelling , 3 (3) , 130-134 . DOI: 10.33187/jmsm.808041
MLA Topaç, N. , Bardak, M. , Bağdatlı Kalkan, S. , Kirisci, M. "Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis" . Journal of Mathematical Sciences and Modelling 3 (2020 ): 130-134 <https://dergipark.org.tr/en/pub/jmsm/issue/59036/808041>
Chicago Topaç, N. , Bardak, M. , Bağdatlı Kalkan, S. , Kirisci, M. "Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis". Journal of Mathematical Sciences and Modelling 3 (2020 ): 130-134
RIS TY - JOUR T1 - Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis AU - Nihat Topaç , Musa Bardak , Seda Bağdatlı Kalkan , Murat Kirisci Y1 - 2020 PY - 2020 N1 - doi: 10.33187/jmsm.808041 DO - 10.33187/jmsm.808041 T2 - Journal of Mathematical Sciences and Modelling JF - Journal JO - JOR SP - 130 EP - 134 VL - 3 IS - 3 SN - 2636-8692- M3 - doi: 10.33187/jmsm.808041 UR - https://doi.org/10.33187/jmsm.808041 Y2 - 2020 ER -
EndNote %0 Journal of Mathematical Sciences and Modelling Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis %A Nihat Topaç , Musa Bardak , Seda Bağdatlı Kalkan , Murat Kirisci %T Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis %D 2020 %J Journal of Mathematical Sciences and Modelling %P 2636-8692- %V 3 %N 3 %R doi: 10.33187/jmsm.808041 %U 10.33187/jmsm.808041
ISNAD Topaç, Nihat , Bardak, Musa , Bağdatlı Kalkan, Seda , Kirisci, Murat . "Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis". Journal of Mathematical Sciences and Modelling 3 / 3 (December 2020): 130-134 . https://doi.org/10.33187/jmsm.808041
AMA Topaç N. , Bardak M. , Bağdatlı Kalkan S. , Kirisci M. Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis. Journal of Mathematical Sciences and Modelling. 2020; 3(3): 130-134.
Vancouver Topaç N. , Bardak M. , Bağdatlı Kalkan S. , Kirisci M. Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis. Journal of Mathematical Sciences and Modelling. 2020; 3(3): 130-134.
IEEE N. Topaç , M. Bardak , S. Bağdatlı Kalkan and M. Kirisci , "Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis", Journal of Mathematical Sciences and Modelling, vol. 3, no. 3, pp. 130-134, Dec. 2021, doi:10.33187/jmsm.808041
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