Partial Least Square Modeling of Personality Traits and Academic Achievement in Physics
DOI:
https://doi.org/10.37134/ajatel.vol11.2.8.2021Keywords:
Partial Least Square Modelling, Personality Traits, Physics Achievements, Psych Package, R Programming LanguageAbstract
Within the purview of educational settings, students possess some unique traits which make them react in an unexpected manner to the learning environment. Students are not only unique in terms of personality characteristics, family background, age and gender, they also showed diverse states of mind and enthusiastic reactions to the environment. Therefore, this study modelled the Big Five personality traits and academic achievement of students in Lagos State, Nigeria. A non-experimental design of scale development research type was adopted. A sample of 480 senior secondary school III students selected through multi-stage sampling procedure across the education districts 2 of Lagos State. Student’s Personality Traits Scale (SPTS) and Physics Achievement Test (PAT) were deployed to capture the needed data after subjecting them to exploratory factor analysis using the psych package implemented in R programming language and item calibration of Item Response Theory. Data were analysed using Partial Least Square (PLS) path modelling to test the proposed model. Findings showed, there was significant direct positive relationship between the five personality traits and academic achievement in physics with (β= 0.23, t = 1.99, p < 0.05). Also, there was significant negative causal linkage of gender on physics achievement with (β = -0.10, t = 2.02, p < 0.05), although, its moderating effect was insignificant between the two constructs with (β = 0.02, t = 0.75, p > 0.05). Among other recommendations, physics teachers were enjoined to pay due attention to the development of positive traits among their students.
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References
Adebayo, O. O., & Adigun, S. Q. (2018). Impact of Instructional Aids on Students’ Academic Performance in Physics in Secondary Schools in Federal Capital Territory (FCT) Abuja. Nigeria European Scientific Journal. 14(4), 366-376.
Adeyemo, S. A. (2010). Teaching and Learning of Physics in Nigerian Secondary Schools: The Curriculum Transformation, Issues, Problems, and Prospects. International Journal of Educational Research and Technology, 1(1), 99-111.
Aiken, L. S. & West, S. G. (1991). Multiple Regression: Testing and Interpreting Interactions, Sage Publications, Newbury Park, CA.
Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modelling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514-538.
Amadalo, M. M., Ocholla, A. A., & Memba, E. B. (2012). Effect of Practical Work in Physics on Girls’ Performance, Attitude, and Skills acquisition in the two-form three Secondary Schools’ transition in Kenya. International Journal of Humanities and Social Science, 2(23), 151-166.
Amusa, J. O. (2020). Appraisal of the physics education programme in the National Open University of Nigeria. Technical University of Varna Annual Journal, 4(1), 1-12 https://doi.org/10.29114/ajtuv.vol4.iss1.158
Anita, P., Małgorzata D., Anna T., & Mateusz P. (2020). The Effects of the Big Five Personality Traits on Stress among Robot Programming Students. Sustainability, 12, 5196; doi:10.3390/su12125196 www.mdpi.com/journal/sustainability.
Bagozzi, R. Y. (1988). On the evaluation of structural equation models. J. Acad. Mark. Sci., 16, 74-94.
Batool, S., & Aziz, S. (2018). Effect of Parental Influence on Students’ Personality and Academic Achievement at Secondary School Level. International Journal of Innovation in Teaching and Learning, 4(1), 1-15.
Bello, T. O., & Akinfesola O. E. (2015). Dissemination and utilization of physics education research findings towards enhanced teaching and learning of physics in secondary school. Mediterranean Journal of Social Sciences. 6(6), 333-339.
Bratko, D., Chamoro, T., & Saks, Z. (2006). Personality and school performance: Incremental validity of self and peer-ratings over intelligence. Personality and Individual Differences, 41, 131-142.
Chin, W. W. (1998). “The partial least squares approach to structural equation modeling”, in Marcoulides, G.A. (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates Inc., Mahway, NJ, pp. 295-336.
Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods, and applications: Vol. 2. Springer handbooks of computational statistics series (pp. 655–690).
Cirera, X., & Maloney, W. (2017). The innovation paradox: Developing-country capabilities and the unrealized promise of technological catch-up. Washington, DC: World Bank. https://openknowledge.worldbank .org/bitstream/handle/10986/28341/211160ov.pdf
Chomoro-Premuzic, T., & Furnham, A. (2003a). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37(4), 319-338.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates, Hillsdale, NJ.
Daminabo, W. H. (2008). The Relationship between Personality Traits and Academic Achievement of Secondary School students in Rivers State. Unpublished M.Ed. dissertation, University of Port-Harcourt.
De Mars, C. (2010). Item Response Theory. Understanding statistics measurement. NY: Oxford University Press.
Erinosho, S. Y. (2013). How do students perceive the difficulty of physics in secondary school? An exploratory study in Nigeria. International Journal for Cross-Disciplinary Subjects in Education, 3(3), 1510-1515.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50.
Furnham, A., Zhang, J., & Chamoro, T. (2006). The relationship between psychometric and self-estimated intelligence, creativity, personality, and academic achievement. Imagination, cognition and personality, 25(2), 119-145.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Englewood Cliffs: Prentice-Hall.
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106-121.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017b). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks: Sage.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed, a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–151.
Hair, J.F., Hult, G. T. M., Ringle, C., & Sarstedt, M. A. (2016). Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage Publications, Thousand Oaks, CA.
Hakimi, S., Hejazi, E., & Lavasani, M. G. (2011). The relationships between personality traits and students’ academic achievement. Procedia-Social and Behavioral Sciences, 29, 836-845.Retrieved from http://dx.doi.org/10.1016/j.sbspro.2011.11.312
Henseler, J., & Chin, W. W. (2010). “A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling”, Structural Equation Modeling: A Multidisciplinary Journal, Vol. 17 No. 1, pp. 82-109.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New challenges to international marketing: Advances in international marketing (Vol. 20, pp. 277–319).
Herrera, L., Al-Lal, M., & Mohamed, L. (2020). Academic Achievement, Self-Concept, Personality and Emotional Intelligence in Primary Education. Analysis by Gender and Cultural Group. Front. Psychol. 10:3075. doi: 10.3389/fpsyg.2019.03075.
Islam, M. N. (2021). Study habits, self-esteem, and academic achievement among public and private secondary school students in Bangladesh, International Journal of Psychology and Educational Studies, 2021, 8(3), 39-50. https://dx.doi.org/10.52380/ijpes.2021.8.3.214
Ikpi, E. E., Enya, D. B., & Johnny, U. A. (2014). The Influence of Personality Trait on the Academic Performance of Secondary School Students in Cross River State, Nigeria. Journal of Humanities and Social Science, 19(3), 12-19.
Jensen, M. (2015). Personality Traits, Learning, and Academic Achievements, Journal of Education and Learning, 4(4), 91 – 102.
Kock, N. (2018). “Should Bootstrapping Be Used in PLS-SEM? Toward Stable P-Value Calculation Methods”, Journal of Applied Structural Equation Modeling, 1(2), 1-12
Laidra, K., Pullmann, H., & Allik, J. (2007). Personality and intelligence as predictors of academic achievement: A cross-sectional study from elementary to secondary school. Personality and individual differences, 1-11.
Lounsbury, J. W., Sundstrum, E., Gibson, L. W., & Loveland, J. L. (2003b). Broad versus narrow personality traits in predicting academic performance of adolescents. Learning and individual differences, 14(1), 65-75.
Melissa, C., Sampo, C., & Paunonen, V. (2007). Big five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43, 437-448.
Nunnally, J., & Bernstein, I. (1994). Psychometric Theory, 3rd ed.; McGraw Hill: New York, NY, USA.
Nwona, H. A., & Madu, B. C. (2018). Assessment of Senior Secondary School Physics Teachers’ Content Knowledge in Kogi Central Zone of Kogi State, Nigeria. International Journal of Education and Evaluation 4(5), 83 – 90.
Ogunleye, A., & Anyaegbuna, B. A. (2018). An assessment of physics laboratory teaching and learning resources in two Nigerian universities. Cypriot Journal of Educational Science. 8(1),1-14.
Owolabi, O. T., & Oginni, O. I. (2013). Assessing the relative effectiveness of three teaching methods in the measurement of students’ performance in Physics. International Journals of Material, Methods and Technologies, 1(8), 116-125
Rimfeld, K., Kovas, Y., Dale, P. S., & Plomin, R. (2016). True Grit and Genetics: Predicting Academic Achievement from Personality. Journal of Personality and Social Psychology, 3(5), 780 –789.
Ringle, C., Wende, S., & Becker, J. (2014). SmartPLS 3; University of Hamburg: Hamburg, Germany.
Rodríguez-Ramos, Á., Moriana, J. A., García-Torres, F., & Ruiz-Rubio, M. (2021). Emotional stability is related to D:4D and social desirability in women: Possible implications on subjective well-being and psychopathology. PLoS ONE 16(3): e0248368. https://doi.org/10.1371/journal.pone.0248368.
Shah, A. (2018). Gender Disparity in Big Five Factors of Personality and Their Effect on Academic Achievement of Students. Pakistan Journal of Physiology.14(4):51-54.
Tabachnik, L. S., & Fidell, B. G. (2007). Using Multivariate Statistics. Boston: Pearson.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y.M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48, 159–205.
Troncone, A., Drammis, M. L., & Labella, A. (2014). Personality Traits, Self-Esteem and Academic Achievement in Secondary School Students in Campania, Italy. Universal Journal of Educational Research 2(7), 512- 520. http://www.hrpub.org DOI: 10.13189/ujer.2014.020703.
Usman, I. S., Simyyap, W. L., & Fasanya, A. G. (2019). Challenges of Effective Implementation of NewSecondary School Physics Curriculum in Public and Private Schools in Nigeria. Journal of Science Technology and Education 7(3), 1 – 6.
Vidya, B., & Ramyashilpa, D. (2014). Neuroticism and Academic Performance of Medical Students.International Journal of Humanities and Social Science Invention. 3 (1) 51-55 www.ijhssi.org
Wagerman, S. A., & Funder, D. C. (2007). Acquaintance reports of personality and academic achievement: A case for conscientiousness. Journal of Research in Personality, 41, 221-229.
Wilson, G. D., & Jackson, C. (1994). The personality of physicists. Person. Individ. Diff. 16(1), 187 189).
World Economic Forum (WEF). (2019). Globalization 4.0: Shaping a Global Architecture in the Age of the Fourth Industrial Revolution'.
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