Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2018 | 52 | 178-191

Article title

Canonical Correlation for Analyzing the Relationship between Educational Attainment and Marriage of Indonesian Youths

Content

Title variants

Languages of publication

Abstracts

EN
Youth plays a significant role for the future of a country in facing the rapid changes of time. This study examines the relationship between educational attainment and age of the first marriage of Indonesian youth. Data concerning Indonesian youth published by Statistics Indonesia in 2015 is used, which includes as many as 34 provinces of Indonesia. This study uses five age groups of first marriage as dependent variables (y). There are also five groups of educational attainment that are used as independent variables (x). Canonical correlation analysis is applied to analyze the strength of correlation between these two data matrices by using R program. Results provide five functions, which reveal that canonical correlations of these variables are 0.82, 0.60, 0.32, 0.16, and 0.01. Furthermore, the first and the second functions accommodate as much as 74.45% and 20.36% of the canonical relationship, respectively. Meanwhile, the rest is accommodated by the other three functions. The results also reveal that early marriage of Indonesian youth has a negative relationship with educational attainment.

Year

Volume

52

Pages

178-191

Physical description

Dates

published
2018

Contributors

author
  • State Islamic Institute of Pekalongan, Pekalongan
  • State Islamic Institute of Pekalongan, Pekalongan

References

  • Borga, M. (2001). Canonical Correlation: a Tutorial. http://people.imt.liu.se/˜magnus/cca/, retrieved on 16 March 2018.
  • Dai, L., Chen, J., Li, S., and Dai, S. (2011). Application of Canonical Correlation Analysis in Student Score Analysis Based on Data Analysis. In: Lin S., Huang X. (eds.). Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, 217. Springer, Berlin, Heidelberg
  • Hair, J., Anderson, R., Tatham, R., and Black, W. (2010). Multivariate Data Analysis with Reading 7th Edition. New Jersey: Prentice Hall International Edition.
  • Hotelling, H. (1936). Relations between Two Sets of Variates. Biometrika, 28, 321 – 377.
  • Musick, K., Brand, J.E., and Davis, D. (2012). Variation in the Relationship Between Education and Marriage: Marriage Market Mismatch?. Journal of Marriage and Family, 74(1) https://doi.org/10.1111/j.1741–3737.2011.00879.x
  • Nanayakkara, K.A.D.S.A. and Peiris, T.S.G. (2017). Identifying the Influence of Mathematics on Academic Performance of Engineering Students. Engineering Research Conference (MERCon) 2017 Moratuwa, pp. 247 – 252.
  • Rencher, C.A. (2002). Methods of Multivariate Analysis 2nd Edition. Canada: John Wiley and Sons.
  • Statistics Indonesia. (2015). Statistik Pemuda Indonesia 2015 (Indonesian Youth Statistics 2015). https://microdata.bps.go.id/mikrodata/index.php/citations/407, retrieved on 16 March 2018.
  • Torr, B.M. (2011). The Changing Relationship between Education and Marriage in the United States, 1940 – 2000. Journal of Family History, 36(4), 483 – 503.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1969404

YADDA identifier

bwmeta1.element.ojs-doi-10_15804_tner_2018_52_2_14
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.