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Analisis Rasch terhadap Instrumen General Selfefficacy Scale-12 Versi Bahasa Indonesia: Studi Komparasi Rating Scale Model (RSM) dan Partial Credit Model (PCM) Putra, Muhammad Dwirifqi Kharisma; Retnawati, Heri
Indonesian Journal of Educational Assessment Vol 3, No 1 (2020): IJEA
Publisher : Pusat Asesmen dan Pembelajaran

Self-efficacy is one of the most researched topics in education and psychology, which grounded within social cognitive theory. Various instruments are available that can be used to measure general self-efficacy. As a foundational instrument in the measurement of general self-efficacy, the study investigated the psychometric properties of the General Self-Efficacy Scale-12 (GSES-12). Although the instrument has been adapted into Bahasa, the contribution of the Rasch measurement model in validating this instrument has never done before. By utilizing various advantages of the Rasch model, the polytomous Rasch model (RSM and PCM) were used. The data used in this study are secondary data from previous research. The sample consisted of 303 students (132 male, 171 female) with an age range 18 - 22 years old (mean age = 19.56, SD = 1.20). The results of Rasch's analysis show that the psychometric characteristics of GSES-12 are adequate. The data fit to the Partial Credit Model compared to Rating Scale Model. All assumptions in applying the Rasch model are fulfilled, and also the item fit to the model. Implications and suggestions for future research are also discussed.

The Use of the Partner Surveillance Scale in Instagram: Psychometric Evaluation Based on the Graded Response Model Suryadi, Bambang; Putra, Muhammad Dwirifqi Kharisma
Jurnal Psikologi Vol 47, No 2 (2020)
Publisher : Faculty of Psychology, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpsi.36860

The use of social media, especially Instagram, has become an increasingly powerful form of daily activity. This social media affects the romantic relationship of people, where people in relationships can conduct surveillance on the behaviors of their partner. This study provides an analysis of the psychometric properties of the Indonesian version of the Partner Surveillance Scale which contains 15 items and used a 4-point Likert scale format. The study recruited 214 female university students aged 17-23 years old, who used Instagram. The Graded Response Model (GRM) method was applied. As a result, the Indonesian version of the Partner Surveillance Scale was proved to have good psychometrics properties and had good fit to the GRM. All assumptions of GRM were met and the scale had high reliability. But, it should be noted that some items did not fit well with the model.Â The results of this study also provide an alternative to the use of Confirmatory Factor Analysis (CFA) in analyzing polytomous data with GRM. This study concluded that the psychometric properties of the Partner Surveillance Scale were good.Â

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

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

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

Uji Validitas Konstruk The Social Provisions Scale Muhammad Dwirifqi Kharisma Putra
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 4, No 4 (2015): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v4i4.9310

AbstractThe aim of this study was to test the construct validity of Social Provision Scale. The social provision scale was developed by Cutrona and Russell (1987). 30-items of The Social Provision Scale, consists of six dimensions (attachment, social integration, reassurance of worth, reliable alliance, guidance, opportunity for nurturance) are tested. 326 high school students in Jakarta are participated in this research. By using confirmatory factor analysis and helped by Lisrel 8.70 software, the result showed that the subscales are fit to measure one factor model. AbstrakTujuan dari penelitian ini adalah untuk menguji validitas konstruk dari The Social Provisions Scale. Alat ukur dukungan sosial ini dikembangkan oleh Cutrona dan Russell (1987). Dalam penelitian ini, variabel dukungan sosial terdiri atas enam dimensi yaitu kelekatan, integrasi sosial, adanya pengakuan, ketergantungan untuk dapat diandalkan, bimbingan, dan kesempatan untuk merasadibutuhkan dengan jumlah item sebanyak 30 item. Pelaksanaan tes dilakukan pada siswa salah satu SMA Negeri di Jakarta berjumlah 326 orang. Metode analisis faktor yang digunakan dalam penelitian ini adalah CFA (confimatory factor analysis) dengan bantuan perangkat lunak LISREL 8.70. Hasil pengujian membuktikan bahwa semua subskala sesuai mengukur model satu faktor.

Pengaruh Dukungan Sosial dan Selfefficacy Terhadap Orientasi Masa Depan Pada Remaja Muhammad Dwirifqi Kharisma Putra; Nia Tresniasari
‎‎‎TAZKIYA Journal of Psychology Vol 3, No 1 (2015): TAZKIYA Journal of Psychology
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/tazkiya.v20i1.9194

Teenage years determines success in the future. Good teenagers are who are responsible to their own success in the future, known as future orientation. Given how important future orientation is, researchers examined variables which affect future orientation, thus future orientation can be optimalized. Dimensions of social support and self-efficacy chosen as independent variables. Respondents of this study were 326 students of one of high school in Jakarta. Future orientation, measured using Orientation Test–Revised developed by Scheir, Carver, and Bridges (1994). Social Support, measured using The Social Provisions Scale developed by Cutrona and Russel (1987). Self-efficacy, measured using General Self-efficacy Scale developed by Bosscher and Smit (1998). Instruments' validity were tested using Confirmatory Factor Analysis and data was analysed using Multiple Regression Analysis. α=0.05, result of this study shows future orientation was affected by dimensions of social support, self-efficacy, and interaction between reassurance and self-efficacy with R-square = 30.3%.

Pilot Testing and Preliminary Psychometric Validation of Situational Judgment Test of Resistance to Sunk Cost Rahmat Hidayat; Muhammad Dwirifqi Kharisma Putra
Jurnal Psikologi Vol 49, No 3 (2022)
Publisher : Faculty of Psychology, Universitas Gadjah Mada

The sunk-cost fallacy is an anomaly in decision-making that has been proven in various experimental studies. However, individual differences in the tendency to fall into sunk-cost fallacy have not been sufficiently reported. This preliminary study contains a psychometric evaluation report of the Resistance to Sunk Costs (RtSC) measurement instrument, a component of the Adult Decision Making Competence instrument (A-DMC; De Bruin, Parker, & Fischhoff, 2007) which is modified into Indonesian socio-cultural and economic contexts. The RtSC instrument uses a situational judgment test model, therefore it is adequate to measure the psychological construct of sunk-cost fallacy. The data analysis techniques used in this study were Item Factor Analysis (IFA) and graded response models. Respondents in this study were 217 students in Indonesia. The analysis results show that the 1-factor model of resistance to sunk costs fits the data. At the item level, based on the IFA, it was found that two out of ten items were found to be misfits. The results of the GRM analysis on the remaining eight items indicate that the items fit the GRM. However, the distinguishing power and reliability were found to be low. It can be concluded that this preliminary study provides a variety of important information as suggestions for improvement for our modified scale. Several theoretical and methodological implications are discussed.

Metacognitive Skills Assessment in Research-Proposal Writing (MSARPW) in the Indonesian University Context: Scale Development and Validation Using Multidimensional Item Response Models Bahrul Hayat; Wardani Rahayu; Muhammad Dwirifqi Kharisma Putra; Iva Sarifah; Tina Deviana; Valendra Granitha Shandika Puri; Khairunesa Isa
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 12, No 1 (2023): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v12i1.31679

This study aimed to develop the Metacognitive Skills Assessment in a Research Proposal Writing Context (MSARPW), a multidimensional measure, based on student perspectives, for assessing metacognitive skills in thesis writing, and assess the instrument’s psychometric properties using item factor analysis (IFA) and multidimensional item response models. The 40-item MSARPW was administered to 602 Indonesian university students (Mage = 25.254 SDage = 6.854). The IFA showed that the two-dimensional factor structure of MSARPW was satisfactory; however, only 24 of the 40 items were found to fit the model. Multidimensional graded response models (MGRM) were applied to the subsequent 24-item MSARPW, which showed that one item (Item 4) did not satisfy the criteria. The estimated reliabilities of each subscale showed that the 23-item MSARPW has good internal consistency (0.891 and 0.902). To conclude, the 23-item MSARPW appears to be a valid and reliable tool for assessing metacognitive skills in the context of research-proposal writing among Indonesian university students.

Psychosocial Factors Affecting Self-Regulated Learning among Indonesian Islamic College Students: The Mediating Role of Perception Feedback Diana Mutiah; Melisa Paulina; Muhammad Dwirifqi Kharisma Putra
Islamic Guidance and Counseling Journal Vol. 6 No. 2 (2023): Islamic Guidance and Counseling Journal
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung in collaboration with Asosiasi Bimbingan dan Konseling Indonesia (ABKIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/0020236369200

In facing various problems during the online learning process, individuals need to have self-regulated learning to be able to undergo online lectures optimally and effectively. Hence, student’s knowledge increases, and learning objectives are achieved. This study aims to investigate the mediating effect of self-efficacy in the relationship between perception feedback on self-regulated learning in undergraduate students. Whether the mediation had varying effects on different age levels and sex differences was also examined. The sampling technique used in this study is non-probability sampling with 410 students. This study uses a quantitative approach with path analysis. In this study, researchers used confirmatory factor analysis (CFA) using Lisrel 8.8 to test the instrument's construct validity. The results showed a direct effect from the independent variables, namely self-efficacy, family support, and an indirect effect through mediator variables, namely self-efficacy, family support, friend support, and gender. The effect of self-efficacy and family support is partial mediation on self-regulated learning. In contrast, peer support and gender demographic variables have a perfect mediating effect on self-regulated learning with perception feedback as a mediator.

Psychosocial Factors Affecting Self-Regulated Learning among Indonesian Islamic College Students: The Mediating Role of Perception Feedback Diana Mutiah; Melisa Paulina; Muhammad Dwirifqi Kharisma Putra
Islamic Guidance and Counseling Journal Vol. 6 No. 2 (2023): Islamic Guidance and Counseling Journal
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung in collaboration with Asosiasi Bimbingan dan Konseling Indonesia (ABKIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/0020236369200

In facing various problems during the online learning process, individuals need to have self-regulated learning to be able to undergo online lectures optimally and effectively. Hence, student’s knowledge increases, and learning objectives are achieved. This study aims to investigate the mediating effect of self-efficacy in the relationship between perception feedback on self-regulated learning in undergraduate students. Whether the mediation had varying effects on different age levels and sex differences was also examined. The sampling technique used in this study is non-probability sampling with 410 students. This study uses a quantitative approach with path analysis. In this study, researchers used confirmatory factor analysis (CFA) using Lisrel 8.8 to test the instrument's construct validity. The results showed a direct effect from the independent variables, namely self-efficacy, family support, and an indirect effect through mediator variables, namely self-efficacy, family support, friend support, and gender. The effect of self-efficacy and family support is partial mediation on self-regulated learning. In contrast, peer support and gender demographic variables have a perfect mediating effect on self-regulated learning with perception feedback as a mediator.

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