ARTICLE

DEVELOPMENT AND VALIDATION OF STUDENTS ACADEMIC PERFORMANCE SCALE FOR HIGHER SECONDARY SCHOOL LEVEL

  1. HOME
  2. ARTICLE

44 Pages : 447-462

http://dx.doi.org/10.31703/gssr.2022(VII-II).44      10.31703/gssr.2022(VII-II).44      Published : Jun 2

Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level

Abstract

    The aim of this study was to develop and validate a comprehensive instrument to measure the holistic academic performance of higher secondary school-level students in Pakistan. Data were collected from 1035 higher secondary school level students enrolled in public sector colleges and higher secondary schools. Content validity was determined by eight national and international experts' opinions. The reliability coefficient was found (α=.74) for the said scale. Initially, 52 statements were developed by integrating the students' academic characteristics, students' performance domains, and academic listening, speaking, reading, and writing tasks.Finally, 24 statements were retained after applying the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). It resulted in two distinct sub-factors of Students’ Individual Performance (SIP) and Students'
    Group Performance (SGP). Findings of the research indicate that Students' Academic Performance may be used as a reliable and holistic measure by the educational stakeholders for higher secondary school level students.

    Students' Academic Performance, Higher Secondary School Level, Individual Performance, Group Performance, Holistic Performance

    (1) Maria Saima Jabir
    PhD Scholar, Institute of Education and Research (IER), University of the Punjab, Lahore, Punjab, Pakistan.
    (2) Muhammad Shahid Farooq
    Professor & Chairman, Department of Advanced Studies in Education, Institute of Education and Research, University of the Punjab, Lahore, Punjab, Pakistan.
Fulltext PDF

References

  • Abdullah, M. Y., Hussin, S., & Ismail, K. (2019). Implementation of flipped classroom model and its effectiveness on English speaking performance. International Journal of Emerging Technologies in Learning, 14(9), https://doi.org/10.3991/ijet.v14i09.10348
  • Abun, D., Magallanes, T., & Incarnacion, M. J. (2019). College students’ cognitive and affective attitude toward higher education and their academic engagement. International Journal of English, Literature and Social Science (IJELS) 4(5), 1494-1507. https://dx.doi.org/10.22161/ijels.45.38
  • Adila, S., & Refnaldi, R. (2019). Pronunciation errors made by senior high school students in speaking performance. Journal of English Language Teaching, 8(3), 305-316. https://doi.org/10.24036/jelt.v8i3.105298
  • Adnan, M. S. G., Dewan, A., Zannat, K. E., & Abdullah, A. Y. M. (2019). The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh. Natural Hazards, 99(1), 425-448. https://doi.org/10.1007/s11069-019-03749-3
  • Agustian, H. Y. (2022). Considering the hexad of learning domains in the laboratory to address the overlooked aspects of Chemistry education and fragmentary approach to assessment of student learning. Chemistry Education Research and Practice, 23, 518- 530. https://doi.org/10.1039/D1RP00271F
  • Ahmad, I., Basheri, M., Iqbal, M. J., & Rahim, A. (2018). Performance comparison of support vector machine, random forest, and extreme learning machine for intrusion detection. IEEE Access, 6, 33789-33795. https://doi.org/10.1109/ACCESS.2018.2841987
  • Akande, O. N., Badmus, T. A., Akindele, A. T., & Arulogun, O. T. (2020). Data set to support the adoption of social media and emerging technologies for students’ continuous engagement. Data in Brief, 31, 105926. https://doi.org/10.1016/j.dib.2020.105926
  • Al Hazaa, K., Abdel-Salam, A. S. G., Ismail, R.,Johnson, C., Al-Tameemi, R. A. N., Romanowski, M. H., & Elatawneh, A. (2021). The effects of attendance and high school GPA on student performance in first-year undergraduate courses. Cogent Education, 8(1), 1956857. https://doi.org/10.1080/2331186X.2021.1956857
  • Al-Rubaish, A. M., Rahim, S. I. A., Abumadini, M. S., & Wosornu, L. (2011). Academic job satisfaction questionnaire: Construction and validation in Saudi Arabia. Journal of Family and Community Medicine, 18(1), 1. https://doi.org/10.4103%2F1319-1683.78630
  • Arifin, W. N., & Yusoff, M. S. B. (2016). Confirmatory factor analysis of the University Sains Malaysia emotional quotient inventory among medical students in Malaysia. Sage Open, 6(2). https://doi.org/10.1177%2F2158244016650240
  • Arifin, W. N., Bahri Yusoff, M. S., & Naing, N. N. (2012). Confirmatory Factor Analysis (CFA) of USM Emotional Quotient Inventory (USMEQ-I) among medical degree program applicants in Universiti Sains Malaysia (USM). Education in Medicine Journal, 4(2), 26-44.
  • Ashraf, H., Ahmadi, F., & Hosseinnia, M. (2017). Integrating 21st century skills into teaching English: Investigating its effect on listening and speaking skills. Journal on English Language Teaching, 7(4), 35-43.
  • Astra, I. M., & Henukh, A. (2021). Implementation of think pair share model in physics learning to determine cognitive, affective and psychomotor learning outcomes and student responses. In Journal of Physics: Conference Series, (1),
  • Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quinonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: a primer. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
  • aizzone, S., Circiu, M. S., Elmarissi, W., Enneking, C., Felux, M., & Yinusa, K. (2019).Antenna influence on Global Navigation Satellite System pseudo range performance for future aeronautics multi frequency standardization. Navigation, 66(1), 99-116. https://doi.org/10.1002/navi.281
  • Che Lah, N. H., Tasir, Z., & Jumaat, N. F. (2021). Applying alternative methods to evaluate online problem-solving skill inventory (OPSI) using Rasch Model Analysis. Educational Studies, 1-23.
  • Chen, Z., & Zhang, P. (2020). Trait emotional intelligence and second language performance: a case study of Chinese EFL learners. Journal of Multilingual and Multicultural Development, 1-15. https://doi.org/10.1080/01434632.2020.1767633
  • Chorrojprasert, L. (2020). Learner readiness--Why and How should they be ready? LEARN Journal: Language Education and Acquisition Research Network, 13(1), 268-274.
  • Cleveland-Innes, M., & Campbell, P. (2012). Emotional presence, learning, and the online learning environment. The International Review of Research in Open and Distributed Learning, 13(4), 269-292. https://doi.org/10.19173/irrodl.v13i4.1234
  • Davison, C. B., & Dustova, G. (2017). A quantitative assessment of student performance and examination format. Journal of Instructional Pedagogies, 18.
  • De Oliveira, F. A., Luna, S. P. L., do Amaral, J. B., Rodrigues, K. A., Sant' Anna, A. C., Daolio, M., & Brondani, J. T. (2014). Validation of the UNESP-Botucatu unidimensional composite pain scale for assessing postoperative pain in cattle. BMC Veterinary Research, 10(1), 1-14.
  • Du Paul, G. J., Rapport, M. D., & Perriello, L. M. (1991). Teacher ratings of academic skills: The development of the Academic Performance Rating Scale. School Psychology Review, 20(2), 284-300. https://doi.org/10.1080/02796015.1991.12085552
  • Farooq, M. S., Chaudhry, A. H., Shafiq, M., & Berhanu, G. (2011). Factors affecting students’ quality of academic performance: A case ofsecondary school level. Journal of Quality and Technology Management, 7(2), 1-14.
  • Galloway, K. R., Malakpa, Z., &Bretz, S. L. (2016). Investigating affective experiences in the undergraduate Chemistry laboratory: Students’ perceptions of control and responsibility. Journal of Chemical Education, 93(2), 227-238. https://doi.org/10.1021/acs.jchemed.5b00737
  • Goleman, D. (1995). Emotional intelligence. New York, NY: Bantam Books.
  • Gonzalez-Perez, L. I., & Ramirez-Montoya, M. S. (2022). Components of Education 4.0 in 21st century skills frameworks: systematic review. Sustainability, 14(3), 1493. https://doi.org/10.3390/su14031493
  • Gunawan, J., Marzilli, C., & Aungsuroch, Y. (2021). Establishing appropriate sample size for developing and validating a questionnaire in nursing research. Belitung Nursing Journal, 7(5), 356-360. https://doi.org/10.33546/bnj.1927
  • Gyurova, V. T. (2020). The place of research and creative skills in the training of future teachers. Education and Self Development, 15(3), 120-129. https://orcid.org/0000-0002-6477-6268
  • Hadah, L. M., Maghfiroh, S., Humaira, N. Z., & Akhada, W. N. (2020). The relationship between speaking and writing performance in an indonesian senior high English foreign language (EFL) classroom. Alsuna: Journal of Arabic and English Language, 3(2), 162-178. https://doi.org/10.31538/alsuna.v3i2.778
  • Hailikari, T. K., & Parpala, A. (2014). What impedes or enhances my studying? The interrelation between approaches to learning, factors influencing study progress and earned credits. Teaching in Higher Education, 19(7), 812-824. https://doi.org/10.1080/13562517.2014.934348
  • Hamid, S. R. A., Hassan, S. S. S., & Ismail, N. A. H. (2012). Teaching quality and performance among experienced teachers in Malaysia. Australian Journal of Teacher Education, 37(11), 85-103. https://doi.org/10.14221/ajte.2012v37n11.2
  • Hasan, N. A. A., Ahmad, N., & Razak, N. A. A. (2017). Factors that significantly affect college students’ CGPA. International Academic Research Journal of Social Science, 3(1), 77- 81.
  • Hatlevik, I. K., & Hatlevik, O. E. (2018). Examining the relationship between teachers’ ICT self-efficacy for educational purposes, collegial collaboration, lack of facilitation and the use of ICT in teaching practice. Frontiers in Psychology, 9, 935. https://doi.10.3389/fpsyg.2018.00935
  • Herman, H., Hady, H., & Arafah, W. (2018). The influence of market orientation and product innovation on the competitive advantage and its implication toward Small and Medium Enterprises (UKM) performance. International Journal of Science and Engineering Invention, 4(08), 08-21. https://doi.org/10.23958/ijsei/vol04-i08/02
  • Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of Management, 21(5), 967-988. https://doi.org/10.1177%2F014920639502100509
  • Huerta, M. V., Carberry, A. R., Pipe, T., & McKenna, A. F. (2021). Inner engineering: Evaluating the utility of mindfulness training to cultivate intrapersonal and interpersonal competencies among first‐year engineering students. Journal of Engineering Education, 110(3), 636-670. https://doi.10.1002/jee.20407
  • Hyder, M. R., & Farooq, M. S. (2022). Development and validation of Teachers’ Performance Appraisal Scale (TPAS) for public primary schools of Punjab. International Research Journal of Education and Innovation, 3(2), 241-256. https://doi.org/10.53575/irjei.v3.02(22)25.241-256
  • Jayanthi, S. V., Balakrishnan, S., Ching, A. L. S., Latiff, N. A. A., & Nasirudeen, A. M. A. (2014). Factors contributing to academic performance of students in a tertiaryinstitution in Singapore. American Journal of Educational Research, 2(9), 752-758. https://doi.org/10.12691/education-2-9-8
  • Jureviciene, M., Kaffemaniene, I., & Ruskus, J. (2012). Concept and structural components of social skills. Baltic Journal of Sport and Health Sciences, 3(86),
  • Kasilingam, G., & Chinnavan, E. (2014). Assessment of learning domains to improve student's learning in higher education. Journal of Young Pharmacists, 6(1). https://dx.doi.org/10.5530/jyp.2014.1.5
  • Khan, M. J., Altaf, S., & Kausar, H. (2013). Effect of Perceived Academic Stress on Students' Performance. FWU Journal of Social Sciences, 7(2),
  • Klemm, W. R. (2007). What good is learning if you don't remember it? Journal of Effective Teaching, 7(1), 61-73.
  • Knekta, E., Runyon, C., & Eddy, S. (2019). One size doesn’t fit all: Using factor analysis to gather validity evidence when using surveys in your research. CBE-Life Sciences Education, 18(1), 1-17. https://doi.org/10.1187/cbe.18-04-0064
  • Lamm, K. W., Lamm, A. J., & Edgar, D. W. (2020). Scale development and validation: Methodology and recommendations. Journal of International Agricultural and Extension Education, 27(2), 24-35.
  • Li, J., & Qin, J. (2022). Effect of teachers’ knowledge sharing behavior on students’ entrepreneurial motivation in social media environment. International Journal of Emerging Technologies in Learning (iJET), 17(2), 143-157.
  • Liao, X., Zhu, X., & Cheong, C. M. (2021). Direct and indirect effects of independent language skills on the integrated writing performance of Chinese-speaking students with low proficiency. Reading and Writing, 34(10), 2529-2557. https://doi.org/10.1007/s11145-021-10152-7
  • Liu, M. (2022). Foreign language classroom anxiety, gender, discipline, and English test performance: a cross-lagged regression study. The Asia-Pacific Education Researcher, 31(3),205-215. https://doi.org/10.1007/s40299-020-00550-w
  • Liu, X., & Read, J. (2020). General skill needs and challenges in university academic reading: Voices from undergraduates and language teachers. Journal of College Reading and Learning, 50(2), 70-93. https://doi.org/10.1080/10790195.2020.1734885
  • Mallillin, L. L. D. (2020). Different domains in learning and the academic performance of the students. Journal of Educational System, 4(1), 1-11.
  • Mirzeoglu, A. D. (2014). The effects of peer teaching on the university students achievements in cognitive, affective, psychomotor domains and game performances in volleyball courses. Educational Research and Reviews, 9(9), 262- 271. https://doi.org/10.5897/ERR2013.1690
  • Nakayama, M., Mutsuura, K., & Yamamoto, H. (2021). Impact of learner’s characteristics and learning behaviour on learning performance during a fully online course. In Note Taking Activities in E-Learning Environments, 15- 36. https://doi.org/10.1007/978-981-16-6104-4_2
  • Ng, P. T. (2020). The paradoxes of student well- being in Singapore. ECNU Review of Education, 3(3), 437-451. https://doi.org/10.1177%2F2096531120935127
  • Nyongesa, M. K., Mwangi, P., Koot, H. M., Cuijpers, P., Newton, C. R., & Abubakar, A. (2020). The reliability, validity and factorial structure of the Swahili version of the 7-item generalized anxiety disorder scale (GAD-7) among adults living with HIV from Kilifi, Kenya. Annals of General Psychiatry, 19(1), 1-10. https://doi.org/10.1186/s12991-020- 00312-4
  • O’brien, B. C., Hirsh, D., Krupat, E., Batt, J., Hansen, L. A., Poncelet, A. N., & Hauer, K. E. (2016). Learners, performers, caregivers, and team players: Descriptions of the ideal medical student in longitudinal integrated and block clerkships. Medical teacher, 38(3), 297-305. https://doi.org/10.3109/0142159X.2015.1033390
  • Ongeri, L., Ametaj, A., Kim, H., Stroud, R. E., Newton, C. R., Kariuki, S. M., & Gelaye, B. (2022). Measuring psychological distress using the K10 in Kenya. Journal of affective disorders, 303, 155-160. https://doi.org/10.1016/j.jad.2022.02.012
  • Paroginog, F. E., Dusal-alpuerto, M. A. R. I. B. E. T. H., & Pilongo, L. W. R. (2018). Social skills and academic performance among grade 10 students of the University of Bohol– University High School. ACADEME, 12, 1- 31.
  • Petra, T. Z. H. T., & Ab Aziz, M. J. (2020). Investigating reliability and validity of student performance assessment in Higher Education using Rasch Model. In Journal of Physics: Conference Series, 1529(4). http://doi.org/10.1088/1742-6596/1529/4/042088
  • Rajhans, V., Memon, U., Patil, V., & Goyal, A. (2020). Impact of COVID-19 on academic activities and way forward in Indian Optometry. Journal of Optometry, 13(4), 216-226. https://doi.org/10.1016/j.optom.2020.06.002
  • Rasheed, H. M. W., He, Y., Khalid, J., Khizar, H. M. U., & Sharif, S. (2022). The relationship between e‐learning and academic performance of students. Journal of Public Affairs, 22(3), e2492. https://doi.org/10.1002/pa.2492
  • Rovai, A. P., Wighting, M. J., Baker, J. D., & Grooms, L. D. (2009). Development of an instrument to measure perceived cognitive, affective, and psychomotor learning in traditional and virtual classroom higher education settings. The Internet and higher education, 12(1), 7-13. https://doi.org/10.1016/j.iheduc.2008.10.002
  • Rukthong, A., & Brunfaut, T. (2020). Is anybody listening? The nature of second language listening in integrated listening-to- summarize tasks. Language Testing, 37(1), 31-53. https://doi.org/10.1177%2F0265532219871470
  • Saritepeci, M., & Ugurcan, S. E. R. T. (2021). Cyberloafing level of university students: A scale development study. Research on Education and Psychology, 5(1), 41-52.
  • Schinske, J., & Tanner, K. (2014). Teaching more by grading less (or differently). CBE-Life Sciences Education, 13(2), 159-166. https://doi.org/10.1187/cbe.cbe-14-03-0054
  • Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11. https://doi.org/10.12691/ajams-9-1-2
  • Soffer, T., & Cohen, A. (2019). Students' engagement characteristics predict success and completion of online courses. Journal of Computer Assisted Learning, 35(3), 378-389. https://doi.org/10.1111/jcal.12340
  • Suhendi, H. Y., Ramdhani, M. A., & Irwansyah, F. S. (2018). Verification Concept of Assessment for Physics education student learning outcome. International Journal of Engineering & Technology (UEA), 7(3.21), 321-325.
  • Taar, J., & Palojoki, P. (2022). Applying inter thinking for learning 21st-century skills in home economics education. Learning, Culture and Social Interaction, 33, 100615. https://doi.org/10.1016/j.lcsi.2022.100615
  • Tapsir, R., Nik Pa, N. A., & Zamri, S. N. A. B. S. (2018). Reliability and validity of the instrument measuring values in mathematics classrooms. Malaysian Online Journal of Educational Sciences, 6(2), 37-47.
  • Topor, D. R., Keane, S. P., Shelton, T. L., & Calkins, S. D. (2010). Parent involvement and student academic performance: A multiple mediational analysis. Journal of prevention & intervention in the community, 38(3), 183- 197. https://doi.org/10.1080/10852352.2010.486297
  • Tsankov, N. (2017). Development of transversal competences in school education (a didactic interpretation ). International Journal of Cognitive Research in Science, Engineeringand Education, 5(2), 129. https://doi.org/10.5937/IJCRSEE1702129T
  • Vermunt, J. D., &Donche, V. (2017). A learning patterns perspective on student learning in higher education: state of the art and moving forward. Educational Psychology Review, 29(2), 269-299. https://doi.org/10.1007/s10648-017-9414-6
  • Wong, B., DeWitt, J., & Chiu, Y. L. T. (2021). Mapping the eight dimensions of the ideal student in higher education. Educational Review, 1-19. https://doi.org/10.1080/00131911.2021.1909538
  • Wong, S. L. (2020). Affective characteristics for 21st century learning environments: Do they matter?. International Journal of Interactive Mobile Technologies, 14(12),
  • Wylie, E. C., & Lyon, C. J. (2020). Developing a formative assessment protocol to support professional growth. Educational Assessment, 25(4), 314-330. https://doi.org/10.1080/10627197.2020.1766956
  • Xing, X., Huerta, M., & Garza, T. (2019). College and career preparation activities and their influence on post-high school education and work attainment. Journal of Career and Technical Education, 34(1), 8-28.
  • Xu, Y. (2021). Investigating the effects of digital multimodal composing on Chinese EFL learners’ writing performance: A quasi- experimental study. Computer Assisted Language Learning, 1-21. https://doi.org/10.1080/09588221.2021.1945635
  • Yan, Z., Li, Z., Panadero, E., Yang, M., Yang, L., & Lao, H. (2021). A systematic review on factors influencing teachers’ intentions and implementations regarding formative assessment. Assessment in Education: Principles, Policy & Practice, 28(3), 228-260. https://doi.org/10.1080/0969594X.2021.1884042
  • Yanofsky, S. D., & Nyquist, J. G. (2010). Using the affective domain to enhance teaching of the ACGME competencies in anesthesiologytraining. The Journal of Education in Perioperative Medicine: JEPM, 12(1),
  • Yusoff, M. S. B., Arifin, W. N., & Hadie, S. N. H. (2021). ABC of questionnaire development and validation for survey research. Education in Medicine Journal, 13(1). https://doi.org/10.21315/eimj2021.13.1.10
  • Zeng, Z. (2022). Research on the cultivation of college English listening, speaking, reading, and writing ability by VR technology. Security and Communication Networks, https://doi.org/10.1155/2022/4241870
  • Yan, Z. (2020). Self-assessment in the process of self-regulated learning and its relationship with academic achievement. Assessment & Evaluation in Higher Education, 45(2), 224- 238. https://doi.org/10.1080/02602938.2019.1629390
  • Zhu, Y., Ritter, S. M., & Dijksterhuis, A. (2020). Creativity: Intrapersonal and interpersonal selection of creative ideas . The Journal of Creative Behavior, 54(3), 626-635. https://doi.10.1002/jocb.397

Cite this article

APA

    APA : Jabir, M. S., & Farooq, M. S. (2022). Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level. Global Social Sciences Review, VII(II), 447-462. https://doi.org/10.31703/gssr.2022(VII-II).44

CHICAGO

    CHICAGO : Jabir, Maria Saima, and Muhammad Shahid Farooq. 2022. "Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level." Global Social Sciences Review, VII (II): 447-462 doi: 10.31703/gssr.2022(VII-II).44

HARVARD

    HARVARD : JABIR, M. S. & FAROOQ, M. S. 2022. Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level. Global Social Sciences Review, VII, 447-462.

MHRA

    MHRA : Jabir, Maria Saima, and Muhammad Shahid Farooq. 2022. "Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level." Global Social Sciences Review, VII: 447-462

MLA

    MLA : Jabir, Maria Saima, and Muhammad Shahid Farooq. "Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level." Global Social Sciences Review, VII.II (2022): 447-462 Print.

OXFORD

    OXFORD : Jabir, Maria Saima and Farooq, Muhammad Shahid (2022), "Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level", Global Social Sciences Review, VII (II), 447-462

TURABIAN

    TURABIAN : Jabir, Maria Saima, and Muhammad Shahid Farooq. "Development And Validation of Students' Academic Performance Scale For Higher Secondary School Level." Global Social Sciences Review VII, no. II (2022): 447-462. https://doi.org/10.31703/gssr.2022(VII-II).44