DEVELOPMENT OF ESTIMATION METHOD FOR THE RELIABILITY OF THE NEW STRATIFIED ALPHA COEFFICIENT FOR MULTIDIMENSIONAL SCALES การพัฒนาวิธีการประมาณค่าความเที่ยงของสัมประสิทธิ์แอลฟาแบ่งชั้นแบบใหม่ สำหรับมาตรวัดแบบพหุมิติ

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Arpakorn Prewnim
Poonpong Suksawang
Piyathip Pradujprom

Abstract

The purposes of this research were 1) to develop a method for estimating new stratified alpha coefficients (ascr), 2) to compare the efficiency of reliability estimation between the new alpha coefficients (ascr) and the stratified alpha coefficients (as) by test length, and the size of the sampled group, over 54 conditions, and 3) to estimate the reliability of multidimensional scales using the new stratified alpha coefficients (ascr). The sample included 2,368 persons, aged between 18-64 years. The results were as follows: 1) The method for estimating the reliability of the alpha coefficients (ascr). 2) The reliability of the alpha coefficient estimation method for estimating new stratified alpha coefficients (ascr) was more efficient than estimated stratified alpha coefficients (as) if there were at least 50 test takers and the length of the exam was 60 or more items, or if there were at least 400 test takers and the length of the exam was more than 10 items. 3) The reliability of the multidimensional scales was found to be .677, .762, and .858 when the length of the scales was 18, 54, and 84 items, respectively.

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How to Cite
Prewnim, A. ., Suksawang, P. ., & Pradujprom, P. . (2020). DEVELOPMENT OF ESTIMATION METHOD FOR THE RELIABILITY OF THE NEW STRATIFIED ALPHA COEFFICIENT FOR MULTIDIMENSIONAL SCALES: การพัฒนาวิธีการประมาณค่าความเที่ยงของสัมประสิทธิ์แอลฟาแบ่งชั้นแบบใหม่ สำหรับมาตรวัดแบบพหุมิติ. Journal of Education and Innovation, 24(2), 316–331. Retrieved from https://so06.tci-thaijo.org/index.php/edujournal_nu/article/view/241571
Section
Research Articles

References

Abbott, R. A., Ploubidis, G. B., Huppert, F. A., Kuh, D., Wadsworth, M. E., & Croudace, T. J. (2006). Psychometric evaluation and predictive validity of Ryff´s psychological wellbeing items in a UK cohort sample of women. Health and Quality of Life Outcomes, 4(76), 1-16. DOI: 10.1186/1477-7525-4-76

Banik, S., Kibria, B. M. G., & Sharma, D. (2012). Testing the population coefficient of variation. Journal of Modern Applied Statistical Methods, 11(2), 325-335. DOI: 10.22237/jmasm/1351742640

Cronbrach, L. J., Schönemann, P., & McKie, D. (1965). Alpha coefficients for stratified-parallel tests. Educational and Psychological Measurement, 25(2), 291-312.

Deng, L., & Chan, W. (2016). Testing the difference between reliability coefficients alpha and omega. Educational and Psychological Measurement, 77(2), 185-203. DOI: 10.1177/0013164416658325

Drolet, A. L., & Morrison, D. G. (2001). Do we really need multiple-item measures in service research? Journal of Service Research, 3(3), 196–204.

Drost, E. (2011). Validity and reliability in social science research. Education Research and Perspectives, 38(1), 105-123.

Hea, S.G., Wangb, G. A., & Cookb, D. F. (2011). Multivariate measurement system analysis in multisite testing: An online technique using principal component analysis. Expert Systems with Applications, 38(12), 14602-14608.

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.

Hinkle, D.E. (1998). Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin.

Hunt, T. (2013). Covariance maximized lambda 4: An introduction of a low-biased reliability. Retrieved from University of Utah: https://mstat.utah.edu/degree-options/Covariance%20Maximized%20Lambda%204.pdf

Javali, S. B., Gudaganavar, N. V., & Raj, S. M. (2011). Effect of varying sample size in estimation of coefficients of internal consistency. Karnataka, India: Department of Biostatistics, SDM College of Dental Sciences.

Jöreskog, K. G., & Sörbom, D. (1999). LISREL 7: A guide to the program and application. Chicago: SPSS.

Kamata, A., Turhan, A., & Darandari, E. (2003). Estimating reliability for multidimensional composite score scale scores. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago.

Kanjanawasee, S. (2013). Classical test theory (7th ed.). Bangkok: Chulalongkorn University Press. [in Thai]

Latif, L. A., Amadera, J. E. D., Pimentel, D., Pimentel, T., & Fregni, F. (2011). Sample size calculation in physical medicine and rehabilitation: A systematic review of reporting, characteristics, and results in randomized controlled trials. Archives of Physical Medicine and Rehabilitation, 92(2), 306-315. DOI: 10.1016/j.apmr.2010.10.003

Liu, J., Tang, W., Chen, G., & Lu, Y. (2016). Correlation and agreement: Overview and clarification of competing concepts and measures. Shanghai Archives of Psychiatry, 28(2), 115–120.

Louth, R. (2010). The next generation of optimization applications and theory. In Optimizing Optimization (pp. 247-281). New York: Elsevier.

Margono, G. (2015). Multidimensional reliability of instrument for measuring students' attitudes toward statistics by using semantic differential scale. American Journal of Educational Research, 3(1), 49-53.

Marwick, B., & Krishnamoorthy K. (2019). Tests for the equality of coefficients of variation from multiple groups. R software package version 0.1.3. Retrieved from https://github.com/benmarwick/cvequality

Mukkhuntod, W., & Lawthong, N. (2016). Effect of multidimensionality and reliability estimation methods on multidimensional reliability and effect of reliability estimation. Journal of Research Methodology, 29(3), 273-294. [in Thai]

Nisbet, R., Miner, G., & Yale, K. (2017). Handbook of statistical analysis and data mining applications (2nd ed.). New York: Elsevier.

Osburn, H. G. (2000). Coefficient alpha and related internal consistency reliability coefficients. Psychological Methods, 5(3), 343-335. DOI: IO.1037//1082-989X.5.3.343

Pascual-Ferrá, P., & Beatty, M. J. (2015). Correcting internal consistency estimates inflated by correlated item errors. Communication Research Reports, 32(4), 347-352. DOI: 10.1080/08824096.2015.1089858

Peters, G.-J. Y. (2014). The alpha and the omega of scale reliability and validity: Why and how to abandon Cronbrach’s alpha and the route towards more comprehensive assessment of scale quality. European Health Psychologist, 16(2), 55-69.

Raykov, T. (2001). Bias of coefficient alpha for fixed congeneric measures with correlated errors. Applied Psychological Measurement, 25(1), 69-76. DOI: 10.1177/01466216010251005

Raykov, T., & Grayson, D. (2003). A test for change of composite reliability in scale development. Multivariate Behavioral Research, 38(1),143-159.

Reed, G. F., Lynn, F., & Meade, B. D. (2002). Use of coefficient of variation in assessing variability of quantitative assays. Clinical and Diagnostic Laboratory Immunology, 9(6), 1235-1239. DOI: 10.1128/CDLI.9.6.1235-1239.2002

Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57(6), 1069-1081.

Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719-727.

Starkweather, J. (2012). Step out of the past: Stop using coefficient alpha; There are better ways to calculate reliability. Retrieved from http://web3.unt.edu/benchmarks/issues/2012/06/rss-matters

Widhiarso, W. (2007). Estimating Reliability for Multidimensional Measure. Yogykarta, Indonesia: Faculty of Psychology, Gadjah Mada University.

Widhiarso, W., & Ravand, H. (2014). Estimating reliability coefficient for multidimensional measures: A pedagogical illustration. Review of Psychology, 21(2), 111-121.

Wong, G., Maraun, D., Vrac, M., Widmann, M., Eden, J. M., & Kent, T. (2014). Stochastic model output statistics for bias correcting and downscaling precipitation including extremes. Journal of Climate, 27(18), 6940-6959.