American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: http://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
Open Access
Journal Browser
Go
American Journal of Educational Research. 2015, 3(11), 1444-1449
DOI: 10.12691/education-3-11-15
Open AccessArticle

Estimation Comparison of Multidimensional Reliability Coefficients Measurement of Senior High School Students’ Affection towards Mathematics

Wardani Rahayu1, and Dogol Harjono2

1Mathematics and Science Department, Universitas Negeri Jakarta, Indonesia

2Research and Educational Evaluation Program Study, Universitas Negeri Jakarta, Indonesia, Kampus UNJ, Jl. Rawamangun Muka, Rawamangun, Jakarta

Pub. Date: November 06, 2015

Cite this paper:
Wardani Rahayu and Dogol Harjono. Estimation Comparison of Multidimensional Reliability Coefficients Measurement of Senior High School Students’ Affection towards Mathematics. American Journal of Educational Research. 2015; 3(11):1444-1449. doi: 10.12691/education-3-11-15

Abstract

The purposes of this study were to develop instrument of high school students’ affection towards mathematics. It also compared estimation of multidimensional reliability coefficients of the instrument, i.e. McDonald reliability and Maximum reliability coefficient. The research used multi-stage random sampling technique. Conceptually, construct of the affection instrument consists of 5 dimensions, namely: attitude, interest, self-concept, values, and morals. Inter-rater reliability coefficient which were obtained for the five dimensions move from 0.73 to 0.80 and produce 86 selected items. These results were achieved from the items which have been selected through expert study and panelists’ validation. Empirically, first and second trials (try out) testing which used confirmatory factor analysis (CFA) with Maximum Likelihood method (ML) recieved loading factor value above 0,3. In the first and second trials, the multidimensional reliability coefficient calculation showed that the value of McDonald and Maximum reliability coefficients were more than 0.9, which means that the level of reliability of the affection instrument towards mathematics of high school students classified in a very high level. Hypothesis testing of McDonald and Maximum reliability coefficient used t-paired test on bootstrapping methods samples. The result is McDonald reliability coefficient is lower than Maximum reliability coefficient.

Keywords:
instrument development affection towards mathematics McDonald reliability coefficient Maximum reliability coefficient

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Figures

Figure of 3

References:

[1]  Schunk, Dale H., Paul R. Pintrich, dan Judith L. Meece, Motivation in Education: Theory, Research, and Applications. Pearson Education, New Jersey Inc., 2008.
 
[2]  Smith, Mark K., Teori Pembelajaran dan Pengajaran, terjemahan Abdul Qodir Saleh. Mirza Media Pustaka, Yogyakarta, 2009.
 
[3]  Bloom, Benjamin S., Human Characteristics and School Learning. New York: McGraw-Hill Book Company, 1976.
 
[4]  Gronlund, Norman E., Measurement and Evaluation in Teaching. Macmillan Publishing Company, New York, 1985.
 
[5]  Clarkson, Philips dan Norma Presmeg, Critical Issues in Mathematics Education. Springer Science+Business Media, New York, 2008.
 
[6]  Widhiarso, Wahyu, “Koefisien Reliabilitas pada Pengukuran Kepribadian yang Bersifat Multidimensional.” Psikobuana, Vol 1 (1), 39-48. 2009
 
[7]  Widhiarso, Wahyu dan Djemari Mardapi, “Komparasi Ketepatan Estimasi Koefisien Reliabilitas Teori Skor Murni Klasik.” Unpublished, 2009.
 
[8]  Naga, Dali S., Teori Skor pada Pengukuran Mental. PT. Nagarani Citrayasa, Jakarta, 2013.
 
[9]  Margono, Gaguk, “Aplikasi Analisis Faktor Konfirmatori untuk Menentukan Reliabilitas Multidimensi.” Statistika, Vol. 13 (1), Mei, 17-24. 2013
 
[10]  McDonald, Roderick P., Test Theory: A Unified Treatment. New Jersey: Lawrence Erlbaum Associates, Inc., 1999.
 
[11]  Wahyu Widhiarso, “Estimasi Reliabilitas Pengukuran dalam Pendekatan Model Persamaan Struktural,” http://widhiarso.staff.ugm.ac.id. (accessed May 23, 2013).