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The effectiveness of item parceling to increase the model fit: A case study of PAPs Hapsari, Anindita Dwi; Widhiarso, Wahyu
Jurnal Penelitian dan Evaluasi Pendidikan Vol. 27 No. 1 (2023)
Publisher : Graduate School, Universitas Negeri Yogyakarta in cooperation with Himpunan Evaluasi Pendidikan Indonesia (HEPI) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pep.v27i1.49012

Abstract

The impact of item parceling to improve model fit indexes in confirmatory factor analysis has been on debate amongst psychometricians. In this study, the effectiveness of item parceling was examined using Tes Potensi Akademik Pascasarjana (PAPS) or Postgraduate Academic Potential Test in Universitas Gadjah Mada. Item parceling approach, second-order approach, and item-based approach of confirmatory factor analysis (CFA) were used for examination. Data were collected from a sample of 1374 postgraduate candidates in 2017. The result found that model fit indices such as the chi-squared test, comparative fit index, Tucker-Lewis index, and standardized root mean square residual were improved in the item parceling approach when compared to item based approach. Interestingly, the root mean square error of approximation were deteriorating in the item parceling approach. The finding of this study suggested that model dimensionality and sample size should be carefully considered when using the item parceling approach.
Assessing the Predictive Power of Aptitude Tests on Academic Achievement of Students in Science and Technology Majors Hapsari, Anindita Dwi; Hidayat, Rahmat
Gadjah Mada Journal of Psychology (GamaJoP) Vol 10, No 2 (2024)
Publisher : Faculty of Psychology, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/gamajop.83491

Abstract

Aptitude tests are used as part of aptitude assessments. The results of these tests can later serve as the basis for providing study major recommendations for clients who wish to pursue their studies at higher education institutions. Two of the aptitude tests used as part of the aptitude assessment are the Differential Aptitude Test (DAT) and the Flanagan Aptitude Classification Test (FACT) which consisted of comprehension, reasoning, patterns, arithmetic, mechanical reasoning, and speed-accuracy subtests. This research intended to know the predictive power of aptitude tests on academic achievement in higher education institutions, especially in the STEM program. Participants in this study were 179 students (111 female, 68 male) at Universitas Gadjah Mada. All participants had taken an aptitude assessment at a psychological service provider and had undergone their first year of study in the STEM programs. Correlation analysis was carried out with the aptitude test as the predictor and GPA as the criterion. This study found that only the numerical ability subtest had a satisfactory correlation coefficient as a predictor of the academic performance in female STEM students in higher education.