UJI VALIDITAS DAN RELIABILITAS KONSTRUK INSTRUMEN PAKAPIN UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA KELAS III SDN
(1) Universitas Negeri Yogyakarta
(2) Universitas Negeri Yogyakarta
(3) Universitas Negeri Yogyakarta
(*) Corresponding Author
Abstract
Penelitian ini bertujuan untuk menguji validitas dan reliabilitas konstruk intrumen pengembangan media papan kantong pintar (PAKAPIN) pada pembelajaran tematik untuk meningkatkan motivasi belajar peserta didik. Penelitian ini melibatkan 237 (dua ratus tiga puluh tujuh) responden dan secara acak dari peserta didik kelas III (tiga) Sekolah Dasar di Kecamatan Soromandi. Data dianalisis dengan confirmatory factor analysis (CFA) tingkat dua menggunakan perangkat lunak LISREL 8,9601. Hasil penelitian menunjukkan bahwa instrumen pengembangan media (PAKAPIN) pada pembelajaran tematik untuk meningkatkan motivasi belajar peserta didik. Pengembangan media (PAKAPIN) pada pembelajaran tematik terdiri dari 20 butir pernyataan yang memenuhi kriteria goodness of fit, validitas konvergen, validitas diskriminan, dan reliabilitas konstruk. Oleh karena itu instrumen pengembangan media (PAKAPIN) yang dikembangkan layak untuk digunakan.
Keywords
Full Text:
PDF (Bahasa Indonesia)References
Amalia, E. (2019). Good governance for zakat institutions in Indonesia: A Confirmatory factor analysis. Pertanika Journal Social Sciences & Humanities, 27(3), 1815-1827.
Anderson, J. C. & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, Vol. 103, No. 3, p. 411-423. DOI: org/10.1037/0033-2909.103.3.411
Bacharach, S. B. (1989). Organizational Theories: Some Criteria for Evaluation. Academy of Management Review, 14(4), 496–515. doi:10.5465/amr.1989.4308374
Borg, W. R., & Gall, M. D. (1983). Educational research: An introduction. New York: Longman. Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research. Second Edition. New York: The Guilford Press.
Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. Handbook of Structural equation modelling. The Guilford Press.
Comrey, A. L., & Lee, H. B. (1992). A First Course in Factor Analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
DeVellis, R. F. (2017). Scale development: Theory and applications, Fourth Edition. Los Angeles: Sage.
Effendi, Mohammad. 2009. Kurikulum Dan Pembelajaran: Pengantar Ke Arah Pemahaman Kbk, Ktsp, Dan Sbi. Malang: Fip Universitas Negeri Malang.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. DOI: 10.2307/3151312
Furr, R. M. & Bacharach, V. R. (2013). Psychometrics: An Introduction. Singapore: SAGE
Publications, Inc.
Gefen, D., Straub, D. W. & Boudreau, M.-C. (2000), 'Structural Equation Modeling and Regression: Guidelines for Research Practice', Communications of the Association for Information Systems, vol. 4, no. 7, pp. 1-77. doi: 10.17705/1CAIS.00407
Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. doi:10.1037/a0032138
Hair, J.P., Black, J.P., Babin, J.P., & Anderson, R.E. (2019). Multivariate Data Analysis, Eighth Edition. Harlow: Cengage Learning.
Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant Validity Assessment: Use of Criterion Versus HTMT Criterion. Journal of Physics: Conference Series, 890, 012163. doi:10.1088/1742-6596/890/1/012163.
Hill, C.R., & Hughes, J.N. (2007). An Examination of the Convergent and Discriminant Validity of the Strengths and Difficulties Questionnaire. Sch Psychol Q, 22(3), p. 380–406. doi: 10.1037/1045-3830.22.3.380
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. doi:10.1007/s11747-014-0403-8
Hoelter, J.W. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods and Research, 11: 325344. doi: org/10.1177/0049124183011003003
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997). Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model. MIS Quarterly, 21(3), 279. doi:10.2307/249498
Kenny, D. A., & Kashy, D. A. (1992). Analysis of The Multitrait Multimethod Matrix by Confirmatory Factor Analysis. Psychological Bulletin, 112(1), 165–172. doi:10.1037/0033-2909.112.1.165
Margono, G. (2015). Multidimensional Reliability of Instrument for Measuring Students’ Attitudes Toward Statistics by Using Semantic Differential Scale. American Journal of Educational Research, 2015, Vol. 3, No. 1, 49-53, doi: 10.12691/education-3-1-10
McCoach, D. B., Gable, R. K., & Madura, J. P. (1986). Instrumen Development in the Affective Domain, 3rd Edition. New York: Springer, doi: 10.1007/978-94-015-7259-0.
O’Rourke, N. & Hatcher, L. (2013). A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling. Cary: SAS Institute Inc.
Peter, J. P. (1981). Construct Validity: A Review of Basic Issues and Marketing Practices. Journal of Marketing Research, 18(2), 133–145. doi:10.1177/002224378101800201
Retnawati, H. (2016). Analisis Kuantitatif Instrumen Penelitian. Yogyakarta: Parama Publishing.
Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (7th ed.). New York: Harper & Row.
Trianto. 2007. Model Pembelajaran Terpadu Dalam Teori Dan Praktek. Jakarta: Prestasi Pustaka.
Schumacher, R. E., & Lomax, R. G. (2010). A beginner’s Guide to Structural Equation Modeling (3rd ed.). New York: Routledge.
Susanto, A. 2013. Teori Belajar Dan Pembelajaran Di Sekolah Dasar. Jakarta: Kencana Predana Media Group.
Sudjana, Nana. 2012. Penelitian Hasil Proses Belajar Mengajar. Bandung: Remaja Rosda Karya.
Sugiyono 2019 Metode Penelitian Kualitatif. Bandung: Alfabeta.
Wijanto, S.H. (2008). Strutural Equation Modeling dengan LSREL 8.8: Konsep dan Tutorial. Yogyakarta: Graha Ilmu.
Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2015). Discriminant Validity Testing in Marketing: An Analysis, Causes for Concern, and Proposed Remedies. Journal of the Academy of Marketing Science, 44(1), 119–134. doi:10.1007/s11747-015-0455-4
Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005). Cronbach’s α, Revelle’s β, and Mcdonald’s ωH: Their Relations with Each Other and Two Alternative Conceptualizations of Reliability.
Psychometrika, 70(1), 123– 133. doi:10.1007/s11336-003-0974-7
DOI: http://dx.doi.org/10.24127/ajpm.v12i3.7602
Refbacks
- There are currently no refbacks.