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All Journal Jurnal Penelitian dan Evaluasi Pendidikan TAZKIYA JOURNAL OF PSYCHOLOGY International Journal of Education Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) REiD (Research and Evaluation in Education) Indonesian Journal of Educational Assesment
Bahrul Hayat
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Arts Humanities Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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LITERACY OF OUR YOUNGSTERS: RESULTS AND RESTRAINTS FROM PISA Hayat, Bahrul
International Journal of Education Vol 5, No 1 (2010): November 2010
Publisher : UPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ije.v5i1.5644

Abstract

This article focused on results of assessment of PISA on level of literacy of youngsters in a number of countries including Indonesia. Key findings comprised reading literacy, mathematics literacy, and science literacy of Indonesian youngsters and those of other countries are described. Several factors assumed to have impacts on the results of assessment covered impacts of gender, engagement on learning, family background, and school characteristics. There are several constraints faced by Indonesia that make the assessment result unsatisfying, namely, input and process of education. Constraints of education input cover 1) insufficient availability of educators and educational staff; 2) unavailable learning facilities or inefficient use of the facilities; and 3) inadequate education costs. Constraints of education process comprise 1) too much structured and heavily loaded content, and 2) teacher oriented instructional method. The constraints of education process cause instructional process ineffective. There are seven solutions that need to be organized to cope with the constraints. They are 1) the development of better curriculum, learning method, and assessment system, 2) the capacity of educators’ profession, 3) the improvement of facilities and learning materials, 4) a life skill education, 5) the development of a superior school on basic education, 6) the improvement of quality and relevance of education, 7) the use of ICT for schooling and learning system.
The Effect Of Mastery Learning On Affective Characteristics Of Students A Quantitative Research Synthesis Hayat, Bahrul
‎‎‎TAZKIYA: Journal of Psychology Vol 3, No 2 (2015): TAZKIYA Journal of Psychology
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.592 KB) | DOI: 10.15408/tazkiya.v20i2.9176

Abstract

Many experimental researches have been conducted until recent years to see the effect of mastery learning approach on students’ cognitive behavior and affective characteristics. But the question is how much evidence is there in the existing research results provides scientific conclusions by combining existing experimental results. By treating different experiments of mastery learning as research replications, the experimental results can be combined using a meta-analysis technique. This paper shows how a quantitative research synthesis can effectively be used to combine statistical evidences of researches conducted separately and independently. The effect of mastery learning on affective characteristics of students was selected for this research synthesis. The mastery learning approach to be investigated in this research synthesis is Bloom type of mastery learning strategy. Using 26 independent comparisons, the results of study show that: a) the effect sizes of mastery learning on affective characteristics of students are heterogeneous across studies, b) the source of study, either from dissertation or journal article, does not explain the variability among the effect sizes, c) mastery learning programs using a ≥ 75% mastery criterion seem to have positive affective impact on the students, while those using < 75 % mastery criterion have no impact on the affective characteristics of students, d) the mean effect size shows a decreasing trend as the level of education increases, e) the mean effect size is highly positive for mathematics class and low positive effect for science and social studies, and f) short treatment duration has a much larger positive effect size than the long term treatment duration. DOI: 10.15408/tazkiya.v20i2.9176
Validasi Instrumen Social Provision Scale Pada Siswa Sekolah Menengah Atas: Studi dengan Penerapan Rasch Model Deviana, Tina; Hayat, Bahrul; Suryadi, Bambang
Indonesian Journal of Educational Assessment Vol 3, No 1 (2020): IJEA
Publisher : Pusat Asesmen dan Pembelajaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.09 KB) | DOI: 10.26499/ijea.v3i1.54

Abstract

The condition of Indonesia is currently being faced by the corona virus (COVID-19) pandemic 2019. The importance of solutions related to the existence of the role of teachers or educators to provide references such as social support to students in learning and teaching activities from home, this study conducted to provide research tools or instruments that can be used by educators or researchers by testing the validity of a social support construct (Social Provision Scale) measuring instrument using the Rasch Model. Although much has been done to test the validity of the Social Provision Scale, no one has examined it by involving social support in the context of Education. Likewise, the majority of research on social support uses confirmatory factor analysis, and no one has used the Rasch Model in validating the Social Provision Scale instrument, especially in Indonesia. The data used are secondary data from Putra of 326 people in SMA Negeri 29 South Jakarta using cluster sampling. The results of the application of the Rasch Rating Scale model show that the psychometric characteristics of the Social Provision Scale are very good and precise, as well as the compatibility of the items to the model. Implications and suggestions for future research are also discussed.
Comparing item parameter estimates and fit statistics of the Rasch model from three different traditions Bahrul Hayat; Muhammad Dwirifqi Kharisma Putra; Bambang Suryadi
Jurnal Penelitian dan Evaluasi Pendidikan Vol 24, No 1 (2020)
Publisher : Graduate School, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pep.v24i1.29871

Abstract

Rasch model is a method that has a long history in its application in the fields of social and behavioral sciences, including educational measurement. Under certain circumstances, Rasch models are known as a special case of Item response theory (IRT), while IRT is equivalent to the Item Factor Analysis (IFA) models as a special case of Structural Equation Models (SEM), although there are other ‘tradition’ that consider Rasch measurement models not part of both. In this study, a simulation study was conducted using simulated data to explain how the interrelationships between the Rasch model as a constraint version of 2-parameter logistic (2-PL) IRT, Rasch model as an item factor analysis were compared with the Rasch measurement model using Mplus, IRTPRO and WINSTEPS program, each of which came from its own 'tradition'. The results of this study indicate that Rasch models and IFA as a special case of SEM are mathematically equal, as well as the Rasch measurement model, but due to different philosophical perspectives, people might vary in their understanding of this concept. Given the findings of this study, it is expected that confusion and misunderstanding between the three can be overcome.
Pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling: studi dengan simulasi Monte Carlo Muhammad Dwirifqi Kharisma Putra; Jahja Umar; Bahrul Hayat; Agung Priyo Utomo
Jurnal Penelitian dan Evaluasi Pendidikan Vol 21, No 1 (2017)
Publisher : Graduate School, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (96.024 KB) | DOI: 10.21831/pep.v21i1.12895

Abstract

Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling. Kondisi simulasi diciptakan dengan beberapa faktor yang ditetapkan yaitu lima kondisi ICC (0.05, 0.10, 0.15, 0.20, 0.25), jumlah kelompok (30, 50, 100 dan 150), jumlah observasi dalam kelompok (10, 20 dan 50) dan diestimasi menggunakan lima metode estimasi: ML, MLF, MLR, WLSMV dan BAYES. Jumlah kondisi keseluruhan sebanyak 300 kondisi dimana tiap kondisi direplikasi sebanyak 1000 kali dan dianalisis menggunakan software Mplus 7.4. Kriteria bias yang masih dapat diterima adalah 10%. Hasil penelitian ini menunjukkan bahwa bias yang terjadi dipengaruhi oleh ukuran sampel dan ICC, penelitian ini juga menujukkan bahwa metode estimasi WLSMV dan BAYES berfungsi lebih baik pada berbagai kondisi dibandingkan dengan metode estimasi berbasis ML.Kata kunci: multilevel latent variable modeling, intraclass correlation coefficients, Metode Markov Chain Monte Carlo THE IMPACT OF SAMPLE SIZE AND INTRACLASS CORRELATION COEFFICIENTS (ICC) ON THE BIAS OF PARAMETER ESTIMATION IN MULTILEVEL LATENT VARIABLE MODELING: A MONTE CARLO STUDYAbstractA monte carlo study was conducted to investigate the effect of sample size and intraclass correlation coefficients (ICC) on the bias of parameter estimates in multilevel latent variable modeling. The design factors included (ICC: 0.05, 0.10, 0.15, 0.20, 0.25), number of groups in between level model (NG: 30, 50, 100 and 150), cluster size (CS: 10, 20 and 50) to be estimated with five different estimator: ML, MLF, MLR, WLSMV and BAYES. Factors were interegated into 300 conditions (4 NG  3 CS  5 ICC  5 Estimator). For each condition, replications with convergence problems were exclude until at least 1.000 replications were generated and analyzed using Mplus 7.4, we also consider absolute percent bias 10% to represent an acceptable level of bias. We find that the degree of bias depends on sample size and ICC. We also show that WLSMV and BAYES estimator performed better than ML-based estimator across varying sample sizes and ICC’s conditions.Keywords: multilevel latent variable modeling, intraclass correlation coefficients, Markov Chain Monte Carlo method
Klasika: Program Analisis Item dan Tes dengan Pendekatan Klasik Bahrul Hayat
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 10, No 1 (2021): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v10i1.20551

Abstract

This article introduces the Klasika software developed to run item and test analysis using the Classical Test Theory approach. Classical Test Theory is one of the specialized competencies and skills that undergraduate students of psychology must possess. Classical Test Theory becomes a mandatory course for all schools or departments of psychology in Indonesia. This article also provides a theoretical foundation of Classical Test Theory's essential concepts and statistical methods, specifically related to items and test statistics. The item analysis and test reliability procedures using Klasika, starting from the data preparation untill data interpretation, are explained with an empirical illustration. Finally, the analysis results using Klasika are compared with the results from Quest software to test the accuracy of the estimation results.
Comparison of methods for detecting anomalous behavior on large-scale computer-based exams based on response time and responses Deni Hadiana; Bahrul Hayat; Burhanuddin Tola
REID (Research and Evaluation in Education) Vol 6, No 2 (2020)
Publisher : Program Pascasarjana Universitas Negeri Yogyakarta & HEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v6i2.31260

Abstract

This study aims to determine the anomalous index (indeks anomali or IA) that considers both response time and responses and compares it with response time effort (RTE) or rapid guessing (tebakan cepat or TC) on various thresholds. Response time and responses from 732 examinees are in natural science subjects consist of 40 multiple choice items with four answer choices. Response time and responses are analyzed to obtain descriptive statistics related to them, calculate the TC and IA index using two methods of the threshold, the first method (M1) is a visualization of identification, and the second method (M2) is based on the amount of time spent responding to each item related to the complexity of items, as proposed by Nitko. The performance of the IA and TC scores is compared related to validity and reliability. The coefficient alpha of IAM1 score 0.84, the coefficient alpha of IAM2 0.82. Both values of the alpha coefficient have fulfilled the reliability requirements of the index determination. The IA proposed in this study has a high correlation with ERP, which is commonly used to determine the solution behavior's magnitude and rapid guessing. The correlation value of IAM1 with TCM1 0.86, the correlation value of IAM2 with TCM2 0.89, and this high correlation value shows that there is a strong relationship between IA and TC. Determination of threshold time uses three categories of multiple choices item that reveal IA and TC distributions that are close to normal distribution so that it reflects natural empirical conditions.
Co-Authors Agung Priyo Utomo Bahrul Hayat, Bahrul Bambang Suryadi Burhanuddin Tola Deni Hadiana Deviana, Tina Jahja Umar Muhammad Dwirifqi Kharisma Putra