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Abstract
This study has the objective of developing a student statistical literacy test. It is hoped that the test instrument can measure students' statistical literacy skills with instruments that are valid in terms of content and constructs. In this study the instrument was developed in three stages, namely introduction, planning and development. For content validity, it was carried out by 5 experts. As for the construct validity using confirmatory analysis, Goodness of Fit and model reliability. The validity results show that each item is measured by 5 aspects of statistical literacy indicators. The RMSEA value is 0.062 which is between 0.05 and 0.08, CFI and GFI is 1.00 which means the statistical literacy model is in the good fit category. Statistical literacy values were obtained from trials on 50 students in the city of Tarakan, North Kalimantan with good construct reliability test results where the construct reliability (CR) value of each latent variable was 0.73 ≥ 0.70 with a Variance extracted (VE) value of 0.58 ≥ 0.5. The conclusion is that the developed statistical literacy instrument meets valid and reliable constructs to measure students' statistical literacy levels.
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References
- Aiken, L. . (1985). Three Coefficients For Analyzing The Reability and Validity Of Ratings. Educational and Psychological Measurement, 45, 131–142.
- Andriatna, R., & Kurniawati, I. (2021). Analisis Level Literasi Statistik Mahasiswa Calon Guru Matematika. Transformasi:Jurnal Pendidikan Matematika Dan Matematika, 5(2), 619–632.
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- Ghozali, I. (2014). Structural Equation Modelling-Metode Alternatif dengan Partial Least Squares (PLS). Universitas Diponegoro.
- Magdalena, I., Hifziyah, M., Aeni, V. N., & Rahayu, R. P. (2020). Pengembangan Instrumen Tes Siswa Tingkat Sekolah Dasar Kabupaten Tangerang. Nusantara: Jurnal Pendidikan Dan Ilmu Sosial, 2(2), 227–237.
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- Pulungan, D. A., & Herosian, M. Y. (2019). PENGEMBANGAN INSTRUMEN TES TINGKAT LITERASI STATISTIS SISWA. SUPERMAT (JURNAL PENDIDIKAN MATEMATIKA), 3(2), 1–12. https://doi.org/10.33627/sm.v3i2.259
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References
Aiken, L. . (1985). Three Coefficients For Analyzing The Reability and Validity Of Ratings. Educational and Psychological Measurement, 45, 131–142.
Andriatna, R., & Kurniawati, I. (2021). Analisis Level Literasi Statistik Mahasiswa Calon Guru Matematika. Transformasi:Jurnal Pendidikan Matematika Dan Matematika, 5(2), 619–632.
Anuraga, G., Sulistiyawan, E., & Munadhiroh, S. (2017). Structural Equation Modeling – Partial Least Square Untuk Pemodelan Indeks Pembangunan Kesehatan Masyarakat (Ipkm) Di Jawa Timur. Seminar Nasional Matematika Dan Aplikasinya, 257.
F.Hair, J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Factor Analysis.In:Multivariate Data Analysis. Pearson Education Inc.
Ghozali, I. (2014). Structural Equation Modelling-Metode Alternatif dengan Partial Least Squares (PLS). Universitas Diponegoro.
Magdalena, I., Hifziyah, M., Aeni, V. N., & Rahayu, R. P. (2020). Pengembangan Instrumen Tes Siswa Tingkat Sekolah Dasar Kabupaten Tangerang. Nusantara: Jurnal Pendidikan Dan Ilmu Sosial, 2(2), 227–237.
Noviantari, I., & Faridhoh. (2021). Analisis Learning Loss Kemampuan Literasi Statistis Mahasiswa. Jurnal Pendidikan Matematika Raflesia, 6(03), 112–120.
Pulungan, D. A. (2014). Pengembangan Instrumen Tes Literasi Matematika Model PISA. Journal of Educational Research and Evaluation, 3(2), 74–78.
Pulungan, D. A., & Herosian, M. Y. (2019). PENGEMBANGAN INSTRUMEN TES TINGKAT LITERASI STATISTIS SISWA. SUPERMAT (JURNAL PENDIDIKAN MATEMATIKA), 3(2), 1–12. https://doi.org/10.33627/sm.v3i2.259
Retnawati, H. (2016). Analisis Kuantitatif Instrumen Penelitian. Parama Publishing.
Takaria, J., & Talakua, M. (2018). Kemampuan Literasi Statistik Mahasiswa Calon Guru Ditinjau Dari Kemampuan Awal Matematika. Jurnal Kependidikan, 2(2), 395–408.