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Yıl 2020, Cilt: 3 Sayı: 3, 130 - 134, 29.12.2020

Nihat Topaç Musa Bardak Seda Bağdatlı Kalkan Murat Kirisci

https://doi.org/10.33187/jmsm.808041
Cited By: 2

Öz

Kaynakça

  • [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

Yıl 2020, Cilt: 3 Sayı: 3, 130 - 134, 29.12.2020

Nihat Topaç Musa Bardak Seda Bağdatlı Kalkan Murat Kirisci

https://doi.org/10.33187/jmsm.808041
Cited By: 2

Öz

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.

Anahtar Kelimeler

cognitive development COVID-19 early childhood multiple correspondence analysis

Kaynakça

  • [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.
Toplam 15 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Matematik
Bölüm Makaleler
Yazarlar

Nihat Topaç

Musa Bardak 0000-0001-5585-8002

Seda Bağdatlı Kalkan

Murat Kirisci

Yayımlanma Tarihi 29 Aralık 2020
Gönderilme Tarihi 9 Ekim 2020
Kabul Tarihi 18 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 3 Sayı: 3

Kaynak Göster

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. 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. Aralık 2020;3(3):130-134. doi:10.33187/jmsm.808041
Chicago Topaç, Nihat, Musa Bardak, Seda Bağdatlı Kalkan, ve Murat Kirisci. “Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis”. Journal of Mathematical Sciences and Modelling 3, sy. 3 (Aralık 2020): 130-34. https://doi.org/10.33187/jmsm.808041.
EndNote Topaç N, Bardak M, Bağdatlı Kalkan S, Kirisci M (01 Aralık 2020) Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis. Journal of Mathematical Sciences and Modelling 3 3 130–134.
IEEE N. Topaç, M. Bardak, S. Bağdatlı Kalkan, ve M. Kirisci, “Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis”, Journal of Mathematical Sciences and Modelling, c. 3, sy. 3, ss. 130–134, 2020, doi: 10.33187/jmsm.808041.
ISNAD Topaç, Nihat vd. “Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis”. Journal of Mathematical Sciences and Modelling 3/3 (Aralık 2020), 130-134. https://doi.org/10.33187/jmsm.808041.
JAMA 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;3:130–134.
MLA Topaç, Nihat vd. “Early Childhood Children in COVID-19 Quarantine Days and Multiple Correspondence Analysis”. Journal of Mathematical Sciences and Modelling, c. 3, sy. 3, 2020, ss. 130-4, doi:10.33187/jmsm.808041.
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):130-4.

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