Students’ literature achievement: Predictors investigation research

Alita Arifiana Anisa

doi:10.21831/reid.v3i2.17498

Students’ literature achievement: Predictors investigation research

Alita Arifiana Anisa, Department of Educational Research and Evaluation, Graduate School of Universitas Negeri Yogyakarta, Indonesia

10.21831/reid.v3i2.17498

Abstract

This research is an expost facto research which aims to find out the exsistence of the mean difference between gender in terms of achievement, and investigate the variables predicting students’ achievement in literature study including the direct/indirect effect. This research involved 90 students established ramdomly as the sample. The research used the quantitative data analysis to analyze the mean difference between groups and the direct/indirect effect of the predictors. The result of this research shows that: (1) girls have higher achievement in literature study compared to boys; (2) the predictors that are statistically proven as a direct significant predictor of students’ final test score are gender, second dummy variable for class and mid-term test, while the rest of predictors (except the first dummy variable of class) contribute indirectly to the prediction of students’ achievement in literature study; and (3) the magnitude of the predictors might be different when they are applied in different classes.

Keywords

literature achievement; path analysis; gender; attendance

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References

mso-field-lock:yes'>ADDIN Mendeley Bibliography CSL_BIBLIOGRAPHY

style='mso-element:field-separator'>Berg, S. L. (2006). Two sides of the same coin: Authentic assessment. Community College Enterprise, 12(2), 7–21. Retrieved from https://www.questia.com/read/1P3-1167542141/two-sides-of-the-same-coin-authentic-assessment

Cumming, J. J., & Maxwell, G. S. (1999). Contextualising authentic assessment. Assessment in Education: Principles, Policy & Practice, 6(2), 177–194. https://doi.org/10.1080/09695949992865

Deane, R. P., & Murphy, D. J. (2013). Student attendance and academic performance in undergraduate obstetrics/gynecology clinical rotations. JAMA, 310(21), 2282–2288. https://doi.org/10.1001/jama.2013.282228

Downing, J. (1977). How society creates reading disability. The Elementary School Journal, 77(4), 274–279. https://doi.org/10.1086/461058

Droege, R. C. (1967). Sex differences in aptitude maturation during high school. Journal of Counseling Psychology, 14(5), 407–411.

Duckworth, A. L., & Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16(12), 939–944. https://doi.org/10.1111/j.1467-9280.2005.01641.x

Field, A. P. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Los Angeles, CA: Sage Publication.

Finucci, J. M., Gottfredson, L. S., & Childs, B. (1985). A follow-up study of dyslexic boys. Annals of Dyslexia, 35(1), 117–136. https://doi.org/10.1007/BF02659183

Louis, W. R., Bastian, B., McKimmie, B., & Lee, A. J. (2016). Teaching psychology in Australia: Does class attendance matter for performance? Australian Journal of Psychology, 68(1), 47–51. https://doi.org/10.1111/ajpy.12088

Miller, M. D., Linn, R. L., & Gronlund, N. E. (2009). Measurement and assessment in teaching (10th ed.). Upper Saddle River, NJ: Pearson.

Pedhazur, E. J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd ed.). Orlando, FL: Harcourt Brace College.

Phye, G. D. (Ed.). (1995). Handbook of classroom assessment: Learning, achievement, and adjustment. Ames, IA: Academic Press.

Pritchard, A. (2009). Ways of learning: Learning theories and learning styles in the classroom (2nd ed.). Oxford: Routledge.

Reynolds, C. R., Livingston, R. B., & Willson, V. L. (2009). Measurement and assessment in education (2nd ed.). Upper Saddle River, NJ: Pearson.

Thorndike, R. M., & Thorndike-Christ, T. M. (2010). Measurement and evaluation in psychology and education (8th ed.). Boston, MA: Pearson Education.

DOI: https://doi.org/10.21831/reid.v3i2.17498