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Reseach Article

(Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing

by Adi Setiawan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 5
Year of Publication: 2014
Authors: Adi Setiawan
10.5120/15875-4821

Adi Setiawan . (Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing. International Journal of Computer Applications. 91, 5 ( April 2014), 6-11. DOI=10.5120/15875-4821

@article{ 10.5120/15875-4821,
author = { Adi Setiawan },
title = { (Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 5 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number5/15875-4821/ },
doi = { 10.5120/15875-4821 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:57.427867+05:30
%A Adi Setiawan
%T (Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 5
%P 6-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the use of resampling technique in validity testing and reliability testing that are widely used in order to make the measurement tool in the field of psychology and education research. Resampling technique is the technique of resampling sample with replacement or without replacement. Resampling technique can be used to determine whether the item is valid or not by using the percentile confidence interval. The same technique can also be used to determine the significance of reliability coefficients in order to obtain a reliable measurement tool. This technique can also be used to obtain a higher reliability coefficient by reducing the sample size or by reducing the number of items used in the calculation. In this paper, the technique/method is described in the mini-data and case studies using real data that has 40 items and 48 respondents.

References
  1. Sugiyono, 2012, Metode Penelitian Kuantitatif dan Kualitatif, R & D. Bandung, ALFABETA.
  2. Sudijono, A. , 2007, Pengantar Evaluasi Pendidikan. Jakarta: PT. King Grafindo Persada.
  3. Berkowitz, D. & Caner, M. & Fang, Y. , 2012. "The validity of instruments revisited," Journal of Econometrics, Elsevier, vol. 166 (2), pages 255-266.
  4. Setiawan, A. , 2012, Resampling Based on Bivariate Kernel Density Estimation, Proceedings of the National Seminar on Mathematics Unnes October 13, 2012.
  5. Huo, Ming, Heyvaert, Mieke; Van den Noortgate, Wim; Onghena, Patrick, 2013, Permutation Tests in the Educational and Behavioral Sciences : A Systematic Review, Methodology : European Journal of Research Methods for the Behavioral and Social Sciences Vol. 1, No. 1, 1-17.
  6. Croker, L & J. Algina, 2008, Introduction to Classical and Modern Test Theory, Cengage Learning, Mason Ohio.
  7. Crawshaw, J. & J. Chambers, 2001, A Concise Course in Advanced Level Statistics 4th Ed. , Publisher: Nelson Thornes Ltd, Delta Place.
  8. De Guijter, D. N. , M. & L. J. Th. van der Kamp, 2008, Statistical Test Theory for the Behavioral Sciences, Chapman & Hall/CRC, Boca Raton.
  9. Bima, S. A. 2014, The formation of New Sample that is Valid and Reliable by Using Resampling Technique, Bachelor Thesis, Faculty of Science and Mathematics, Satya Wacana Christian University.
Index Terms

Computer Science
Information Sciences

Keywords

Resampling technique validity testing reliability testing Pearson coefficient of correlation reliability coefficient.