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Adaptation of academic success inventory for college students of the Indonesian: validity and reliability study

Year 2024, Volume: 5 Issue: 4, 119 - 128, 30.12.2024
https://doi.org/10.5281/zenodo.14599790

Abstract

Academic success is defined differently by experts. Some define academic success as a score of learning outcomes in the form of Grade Point Average (GPA) or Standardized Test Scores (SAT). Some define it as academic achievement, academic performance, academic outcomes, and GPA as a tool for measurement. However, academic success is not just the value of learning outcomes in the form of GPA/SAT. It contains very important psychological variables. Therefore, there is a need for a more comprehensive measurement of academic success, not only from a cognitive aspect but also from a psychological aspect. The research objective was to adapt the Academic Success Inventory for College Students (ASICS) instrument developed by Prevatt et al. (2011) in America into Indonesian culture and language so that it can be used to measure the academic success of Indonesian students. The adaptation method, as described by Beaton et al. (2000), includes translations, synthesis, expert committee review, and pretesting. The research respondents were 364 students in the province of East Java, Indonesia. Data analysis used confirmatory factor analysis. The results showed that the loading factor values ranged from 0.716 to 0.959, meeting the minimum validity criteria. the Cronbach's alpha value is between 0.747 and 0.869, and the Composite reliability value is between 0.748 and 0.873. The Average Variance Extracted value is between 0.546 and 0.781.

References

  • Anwar, Z., Rahmawati, H., & Farida, I. A. (2022). Sukses Akademik, Motivasi dan Perbedaan Individu: Studi Literature Review. Empati-Jurnal Bimbingan Dan Konseling, 9(2), 217–223. https://doi.org/10.26877/empati.v9i2.11837
  • Bachik, M. A. K., & Carey, G. (2021). VIA character strengths among US college students and their associations with happiness, well-being, resiliency, academic success and psychopathology. The Journal of Positive Psychology, 16(4), 1–14. https://doi.org/10.1080/17439760.2020.1752785
  • Bayat, B., & Salehiniya, H. (2019). Assessing academic success rate and related factors among the students. Journal of Education and Health Promotion, 8(1), 1–5. https://doi.org/http://dx.doi.org/10.4103/jehp.jehp_244_18
  • Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures. Spine, 25(24), 3186–3191. https://journals.lww.com/spinejournal/Fulltext/2000/12150/Guidelines_for_the_Process_of_Cross_Cultural.14.aspx
  • Bekmezci, M., & Saygin, M. (2019). Mersin ilinde öğrenim gören üniversite öğrencilerinin girişimcilik eğilimleri: Devlet ve vakıf üniversitesi karşılaştırması. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 6(11), 108–123. https://tinyurl.com/DOI-journal2019
  • Davey, A., & Savla, J. (2010). Statistical power analysis with missing data: A structural equation modeling approach. In Statistical power analysis with missing data: A structural equation modeling approach. Routledge/Taylor & Francis Group.
  • Demir, Ö., & Acar, M. (2020). Sosyal bilimler sözlügü. İstanbul: Agaç Yayıncılık: LiteraTürk.
  • DeVon, H. A., Block, M. E., Moyle-Wright, P., Ernst, D. M., Hayden, S. J., Lazzara, D. J., Savoy, S. M., & Kostas-Polston, E. (2007). A Psychometric Toolbox for Testing Validity and Reliability. Journal of Nursing Scholarship, 39(2), 155–164. https://doi.org/https://doi.org/10.1111/j.1547-5069.2007.00161.x
  • Festa-Dreher, D. (2012). The academic success inventory for college students: An item response theory analysis [Proquest]. https://search.proquest.com/openview/9763b1a949bec7c644bd2a6302e038d8/1?pq-origsite=gscholar&cbl=18750
  • Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Gutiérrez, M., & Tomás, J. M. (2019). The role of perceived autonomy support in predicting university students’ academic success mediated by academic self-efficacy and school engagement. Educational Psychology, 39(6), 729–748. https://doi.org/https://doi.org/10.1080/01443410.2019.1566519
  • Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
  • Hair, Joseph F, Black, W. C., Babin, B. J., Anderson, R. E., Black, W. C., & Anderson, R. E. (2019). Multivariate data analysis. In Cengage Learning, EMEA (8th ed). https://tinyurl.com/yc3cs8he
  • 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(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
  • Kemenristekdikti. (2019). Statistik Pendidikan Tinggi (Higher Education Statistics) 2019. In Pusdatin Kemenristekdikti. https://pddikti.kemdikbud.go.id/asset/data/publikasi/Statistik Pendidikan Tinggi Indonesia 2019.pdf
  • Kemenristekdikti. (2020). Statistik Pendidikan Tinggi (Higher Education Statistics) 2020. https://pddikti.kemdikbud.go.id/asset/data/publikasi/Statistik Pendidikan Tinggi 2020.pdf
  • McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. In Psychological Methods (Vol. 7, pp. 64–82). American Psychological Association. https://doi.org/10.1037/1082-989X.7.1.64
  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory New York. In McGraw-Hill (Third Edit). McGraw-Hill. https://tinyurl.com/Psychometric-Theory
  • Orcanli, K., Bekmezci, M., & Boztoprak, H. (2021). Adaptation of Academic Success Inventory Scale for College Students to Turkish: Validity and Reliability Study. OPUS Uluslararası Toplum Araştırmaları Dergisi, 17(37), 399–4026. https://doi.org/https://doi.org/10.26466/opus.879645
  • Prevatt, F., Li, H., Welles, T., & Festa-Dreher, D. (2011). The Academic Success Inventory for College Students: Scale Development and Practical Implications for Use with Students. Journal of College Admission, 2(11), 26–31. https://eric.ed.gov/?id=EJ926821
  • Roksa, J., & Kinsley, P. (2019). Correction to: The Role of Family Support in Facilitating Academic Success of Low-Income Students. Research in Higher Education, 60(4), 437. https://doi.org/https://doi.org/10.1007/s11162-018-9517-z
  • Serrano, C., Murgui, S., & Andreu, Y. (2022). Improving the prediction and understanding of academic success: The role of personality facets and academic engagement. Revista de Psicodidáctica (English Ed.), 27(1), 21–28. https://doi.org/https://doi.org/10.1016/j.psicoe.2021.11.002
  • York, T. T., Gibson, C., & Rankin, S. (2019). Defining and measuring academic success. Practical Assessment, Research, and Evaluation, 20(5), 1–20. https://doi.org/https://doi.org/10.7275/hz5x-tx03
Year 2024, Volume: 5 Issue: 4, 119 - 128, 30.12.2024
https://doi.org/10.5281/zenodo.14599790

Abstract

References

  • Anwar, Z., Rahmawati, H., & Farida, I. A. (2022). Sukses Akademik, Motivasi dan Perbedaan Individu: Studi Literature Review. Empati-Jurnal Bimbingan Dan Konseling, 9(2), 217–223. https://doi.org/10.26877/empati.v9i2.11837
  • Bachik, M. A. K., & Carey, G. (2021). VIA character strengths among US college students and their associations with happiness, well-being, resiliency, academic success and psychopathology. The Journal of Positive Psychology, 16(4), 1–14. https://doi.org/10.1080/17439760.2020.1752785
  • Bayat, B., & Salehiniya, H. (2019). Assessing academic success rate and related factors among the students. Journal of Education and Health Promotion, 8(1), 1–5. https://doi.org/http://dx.doi.org/10.4103/jehp.jehp_244_18
  • Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures. Spine, 25(24), 3186–3191. https://journals.lww.com/spinejournal/Fulltext/2000/12150/Guidelines_for_the_Process_of_Cross_Cultural.14.aspx
  • Bekmezci, M., & Saygin, M. (2019). Mersin ilinde öğrenim gören üniversite öğrencilerinin girişimcilik eğilimleri: Devlet ve vakıf üniversitesi karşılaştırması. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 6(11), 108–123. https://tinyurl.com/DOI-journal2019
  • Davey, A., & Savla, J. (2010). Statistical power analysis with missing data: A structural equation modeling approach. In Statistical power analysis with missing data: A structural equation modeling approach. Routledge/Taylor & Francis Group.
  • Demir, Ö., & Acar, M. (2020). Sosyal bilimler sözlügü. İstanbul: Agaç Yayıncılık: LiteraTürk.
  • DeVon, H. A., Block, M. E., Moyle-Wright, P., Ernst, D. M., Hayden, S. J., Lazzara, D. J., Savoy, S. M., & Kostas-Polston, E. (2007). A Psychometric Toolbox for Testing Validity and Reliability. Journal of Nursing Scholarship, 39(2), 155–164. https://doi.org/https://doi.org/10.1111/j.1547-5069.2007.00161.x
  • Festa-Dreher, D. (2012). The academic success inventory for college students: An item response theory analysis [Proquest]. https://search.proquest.com/openview/9763b1a949bec7c644bd2a6302e038d8/1?pq-origsite=gscholar&cbl=18750
  • Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Gutiérrez, M., & Tomás, J. M. (2019). The role of perceived autonomy support in predicting university students’ academic success mediated by academic self-efficacy and school engagement. Educational Psychology, 39(6), 729–748. https://doi.org/https://doi.org/10.1080/01443410.2019.1566519
  • Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
  • Hair, Joseph F, Black, W. C., Babin, B. J., Anderson, R. E., Black, W. C., & Anderson, R. E. (2019). Multivariate data analysis. In Cengage Learning, EMEA (8th ed). https://tinyurl.com/yc3cs8he
  • 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(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
  • Kemenristekdikti. (2019). Statistik Pendidikan Tinggi (Higher Education Statistics) 2019. In Pusdatin Kemenristekdikti. https://pddikti.kemdikbud.go.id/asset/data/publikasi/Statistik Pendidikan Tinggi Indonesia 2019.pdf
  • Kemenristekdikti. (2020). Statistik Pendidikan Tinggi (Higher Education Statistics) 2020. https://pddikti.kemdikbud.go.id/asset/data/publikasi/Statistik Pendidikan Tinggi 2020.pdf
  • McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. In Psychological Methods (Vol. 7, pp. 64–82). American Psychological Association. https://doi.org/10.1037/1082-989X.7.1.64
  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory New York. In McGraw-Hill (Third Edit). McGraw-Hill. https://tinyurl.com/Psychometric-Theory
  • Orcanli, K., Bekmezci, M., & Boztoprak, H. (2021). Adaptation of Academic Success Inventory Scale for College Students to Turkish: Validity and Reliability Study. OPUS Uluslararası Toplum Araştırmaları Dergisi, 17(37), 399–4026. https://doi.org/https://doi.org/10.26466/opus.879645
  • Prevatt, F., Li, H., Welles, T., & Festa-Dreher, D. (2011). The Academic Success Inventory for College Students: Scale Development and Practical Implications for Use with Students. Journal of College Admission, 2(11), 26–31. https://eric.ed.gov/?id=EJ926821
  • Roksa, J., & Kinsley, P. (2019). Correction to: The Role of Family Support in Facilitating Academic Success of Low-Income Students. Research in Higher Education, 60(4), 437. https://doi.org/https://doi.org/10.1007/s11162-018-9517-z
  • Serrano, C., Murgui, S., & Andreu, Y. (2022). Improving the prediction and understanding of academic success: The role of personality facets and academic engagement. Revista de Psicodidáctica (English Ed.), 27(1), 21–28. https://doi.org/https://doi.org/10.1016/j.psicoe.2021.11.002
  • York, T. T., Gibson, C., & Rankin, S. (2019). Defining and measuring academic success. Practical Assessment, Research, and Evaluation, 20(5), 1–20. https://doi.org/https://doi.org/10.7275/hz5x-tx03
There are 23 citations in total.

Details

Primary Language English
Subjects Educational Psychology
Journal Section Educational Psychology
Authors

Zainul Anwar 0000-0002-6125-0025

Fattah Hanurawan

Tutut Chusniyah 0000-0001-8014-7245

Ninik Setiyowati 0000-0002-6531-6802

Shabina Rehman This is me 0009-0001-4267-7787

Early Pub Date December 5, 2024
Publication Date December 30, 2024
Submission Date July 22, 2024
Acceptance Date September 13, 2024
Published in Issue Year 2024 Volume: 5 Issue: 4

Cite

APA Anwar, Z., Hanurawan, F., Chusniyah, T., Setiyowati, N., et al. (2024). Adaptation of academic success inventory for college students of the Indonesian: validity and reliability study. Psychology Research on Education and Social Sciences, 5(4), 119-128. https://doi.org/10.5281/zenodo.14599790