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Penggunaan Exploratory Factor Analysis (EFA) untuk Pengembangan Skala Kecemasan Statistik dalam Pendidikan
Utami Nurhafsari Putri(1*),
(1) Universitas Negeri Medan
(*) Corresponding Author
Abstract
Penelitian ini bertujuan untuk mengekplorasi pada pengembangan awal skala kecemasan statistik dalam pendidikan melalui Exploratory Factor Analysis (EFA). Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian ex post facto. Sampel penelitian berjumlah 230 (laki-laki, n = 66; perempuan, n = 164) responden dari berbagai fakultas di Univeristas Negeri Medan dengan rentang usia 19-25 tahun. Data dikumpulkan dengan menggunakan skala kecemasan statistik dengan 51 item pada skala likert 5 poin. Teknik analisis data menggunakan Exploratory Factor Analysis (EFA). Hasil penelitian menunjukkan EFA mengidentifikasi empat faktor dari 51 item, dengan nama faktor yaitu: Faktor 1, worth of statistics (24 item; loading faktor mulai dari 0.443 hinga 0.748); Faktor 2, interpretation anxiety (16 item; loading faktor mulai dari 0.448 hingga 0.777); Faktor 3, test and class anxiety (7 item; loading faktor mulai dari 0.477 hingga 0.661); Faktor 4, fear of statistics teachers (4 item; loading faktor mulai dari 0.367 hingga 0.757). Penelitian ini menetapkan item dengan loading faktor di bawah 0.50 tidak digunakan, seperti pada Faktor 1 terdapat tiga item, Faktor 2 terdapat tiga item, Faktor 3 terdapat dua item, Faktor 4 terdapat dua item.
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Afdal, A., Alizamar, A., Ilyas, A., Zikra, Z., Taufik, T., E Erlamsyah, I. S., Ifdil, I., Ardi, Z., Marjohan, M., Netrawati, N., Zahri, T., Putriani, L., Fikri, M., Munawir, M., Syahputra, Y., Astuti, A., Trizeta, L., Erwinda, L., Pramudiastuti, N., … Asmarni, A. (2019). Contribution of statistical anxiety to student learning outcomes: Study in Universitas Negeri Padang. In Journal of Physics: Conference Series, 1157(4), 042126.
Bennett, K., & Dorjee, D. (2016). The impact of a mindfulness-based stress reduction course (MBSR) on well-being and academic attainment of sixth-form students. Mindfulness, 7(1), 105–114.
Berk, R. A., & Nanda, J. (2006). A randomized trial of humor effects on test anxiety and test performance. Humor – International Journal of Humor Research, 19(4), 425–450.
Chew, P. K. H. (2016). An absence of attentional bias: Statistics anxiety is unique among anxieties. James Cook University (JCU).
Chou, C. P., & Bentler, P. M. (1995). Estimates and tests in structural equation modeling. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (p. 37–55). Sage Publications, Inc.
Çokluk, Ö., & Koçak, D. (2016). Using Horn’s parallel analysis method in exploratory factor analysis for determining the number of factors. Educational Sciences: Theory and Practice, 16(2), 537–551. https://doi.org/http://DOI 10.12738/estp.2016.2.0328
Cruise, R. J., Cash, R. W., & Bolton, D. L. (1985). Development and validation of an instrument to measure statistical anxiety. Proceedings of the Joint Statistical Meetings, 92–97.
Davis, A. E. (1996). Instrument development: getting started. Journal of Neuroscience Nursing, 28(3), 204–208.
Ebneter, D. S., & Latner, J. D. (2013). Stigmatizing attitudes differ across mental health disorders: a comparison of stigma across eating disorders, obesity, and major depressive disorder. The Journal of Nervous and Mental Disease, 201(4), 281–285. https://doi.org/http://doi: 10.1097/NMD.0b013e318288e23f
Faber, G., & Drexler, H. (2020). Predicting education science students’ statistics anxiety: The role of prior experiences within a framework of domain-specific motivation constructs. Higher Learning Research Communications, 9(1), 12–27.
Ferrando, P. J., & Navarro-González, D. (2018). Assessing the quality and usefulness of factor-analytic applications to personality measures: A study with the statistical anxiety scale. Personality and Individual Differences, 123, 81–86.
Harerimana, A., & Mtshali, N. G. (2020). Using Exploratory and Confirmatory Factor Analysis to understand the role of technology in nursing education. Nurse Education Today, 92, 104490. https://doi.org/10.1016/j.nedt.2020.104490
Hedges, S. (2017). Statistics Student Performance and Anxiety: Comparisons in Course Delivery and Student Characteristic. Statistics Education Research Journal, 6(1), 320–336.
Hong, K., Chew, P., & Dillon, D. B. (2014). Statistics anxiety and the Big Five personality factors. Procedia - Social and Behavioral Sciences, 112(Iceepsy 2013), 1177–1186. https://doi.org/10.1016/j.sbspro.2014.01.1282
Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. https://doi.org/10.1007/BF02289447
Irianto, A. (2015). Statistik: Konsep dasar, aplikasi, dan pengembangannya (4th Ed). Prenadamedia Group.
Koh, D., & Zawi, M. K. (2014). Statistics anxiety among postgraduate students. International Education Studies, 7(13), 166–174. https://doi.org/10.5539/ies.v7n13p166
Lavasani, M. G., Weisani, M., & Shariati, F. (2014). The role of achievement goals, academic motivation in statistics anxiety: Testing a causal model. Procedia - Social and Behavioral Sciences, 114, 933–938.
Leech, N., Barrett, K. C., & Morgan, G. A. (2005). SPSS for Intermediate Statistics: Use and Interpretation. Lawrence Erlbaum Associates, Inc.
Lewthwaite, S., & Nind, M. (2016). Teaching research methods in the social sciences: Expert perspectives on pedagogy and practice. British Journal of Educational Studies, 64(4), 413–430.
Libman, Z. (2013). A mandatory course in statistics: Not what you thought. In Z. Libman (Ed.). To learn, understand, know: A journey along the pathways of constructivist teaching.
Macher, D., Paechter, M., Papousek, I., & Ruggeri, K. (2012). Statistics anxiety, trait anxiety, learning behavior, and academic performance. European Journal of Psychology of Education, 27(4), 483–498.
Macher, Daniel, Paechter, M., Papousek, I., Ruggeri, K., Freudenthaler, H. H., & Arendasy, M. (2013). Statistics anxiety, state anxiety during an examination, and academic achievement. British Journal of Educational Psychology, 83(4), 535–549. https://doi.org/10.1111/j.2044-8279.2012.02081.x
Manzar, M. D., Zannat, W., Hussain, M. E., Pandi-Perumal, S. R., Bahammam, A. S., Barakat, D., Ojike, N. I., Olaish, A., & Spence, D. W. (2013). Dimensionality of the Pittsburgh Sleep Quality Index in the young collegiate adults. Springerplus, 5(1), 1550. http://doi: 10.1186/s40064-016-3234-x
Markle, G. (2017). Factors influencing achievement in undergraduate social science research methods courses: A mixed methods analysis. Teaching Sociology, 45, 105–115.
Mji, A. (2009). Differences in university students’ attitudes and anxiety about statistics. Psychological Reports, 104(3), 737–744.
Onwuegbuzie, A. J., Leech, N. L., Murtonen, M., & Tahtinen, J. (2010). Utilizing mixed methods in teaching environments to reduce statistics anxiety. International Journal of Multiple Research Approaches, 4(1), 28–39.
Paechter, M., Macher, D., Martskvishvili, K., Wimmer, S., & Papousek, I. (2017). Mathematics anxiety and statistics anxiety. Shared but also unshared components and antagonistic contributions to performance in statistics. Frontiers in Psychology, 8, 1196.
Polit, D. F., & Beck, C. T. (2004). Nursing research: Principles and methods. Lippincott Williams &Wilkins.
Regehr, C., Glancy, D., & Pitts, A. (2013). Interventions to reduce stress in university students: A review and meta-analysis. Journal of Affective Disorders, 148(1), 1–11.
Schield, M. (2004). Statistical Literacy Curriculum Design. International Association for Statistical Education.
Sesé, A., Palmer, A., Jiménez, R., & Montaño, J.-J. (2015). Can Attitudes toward Statistics and Statistics Anxiety Explain Students Performance ? Revista de Psicodidáctica, 20(2), 285–304. https://doi.org/10.1387/RevPsicodidact.13080
Steinberger, P. (2020). Assessing the Statistical Anxiety Rating Scale as applied to prospective teachers in an Israeli Teacher-Training College. Studies in Educational Evaluation, 64, 100829.
Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2014). Exploratory factor analysis; concepts and theory. Advances in Applied and Pure Mathematics, 27, 375–382.
Wells, C. S., & Wollack, J. A. (2003). An instructor’s guide to understanding test reliability. University of Wisconsin.
Williams, A. S. (2010). Statistics anxiety and instructor immediacy. Journal of Statistics Education, 18(2), 1–18.
Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: a five-step guide for novices. Australasian Journal of Paramedicine, 8(3), 1–13. https://doi.org/https://doi.org/10.33151/ajp.8.3.93
Wood, N. D., Akloubou Gnonhosou, D. C., & Bowling, J. W. (2015). Combining parallel and exploratory factor analysis in identifying relationship scales in secondary data. Marriage & Family Review, 51(5), 385–395. https://doi.org/10.1080/01494929.2015.1059785
Zysberg, L. (2010). Statistics for cowards: A field study of the effects of re-designing order and presentation in statistics courses for social science college students. Procedia – Social and Behavioral Sciences, 2(2), 595–599.
DOI: https://doi.org/10.26539/pcr.32686
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