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Indonesian-language version of general self-efficacy scale-12 using Bayesian confirmatory factor analysis: A construct validity testing Muhammad Dwirifqi Kharisma Putra; Wardani Rahayu; Jahja Umar
Jurnal Penelitian dan Evaluasi Pendidikan Vol 23, No 1 (2019)
Publisher : Graduate School, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1594.957 KB) | DOI: 10.21831/pep.v23i1.20008

Abstract

The General Self-Efficacy Scale 12 (GSES-12) is a brief measure for assessing self-efficacy. This study aimed to revise an Indonesian language version of the GSES-12 that was translated and adopted from previous research. The revision conducted by following the Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures, and the final version was administered to 303 (132 male, 171 female) Indonesian students, with a mean age of 19.56 years (SD: 1.20). This study is presented to establish the construct validity of this instrument further. The results of Bayesian CFA revealed a higher-order structure of factor representing constructs of self-efficacy. Considering the theoretical background and the best model fit indices (PPP-value = 0.549 and BRMSEA = 0.001), it is concluded that the Indonesian version of GSES-12 appears to be a valid instrument in assessing self-efficacy in Indonesian speaking students and is expected to facilitate the examination of self-efficacy in Indonesian speaking populations.
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
Kerancuan Dalam Penggunaan Istilah “Construct Reliability” Jahja Umar
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 3, No 4 (2014): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v3i4.9323

Abstract

AbstractIn the classic theory where “true-score” for every person that had been tested cannot be obtained, the reliability coefficient is needed so that test result user can see how far the data can be trusted. For example, like making “confident interval” for true score in test score that already obtained. Next, researcher that will be analyzed the result data statistically, with regression analysis for example, can even use reliability coefficient test score to check bias in regression coefficient because of the low score of varible coefficient that used as predictor. So, when the data that analyzed is total-score, researcher have to report the reliability coefficient. Most popular reliability coefficient is Cronbach, that can estimate if some of the assumption is required, one of them is that all test item is parallel and assumption that error measurement cannot be corelated. With the advancement of psychometry subject over years, reliability coefficient can be estimate more accurate even when one or many of the assumption cannot be required. One of them is the reliability that measure each item’s representation, that many called it “construct reliability”. The word “construct” is happened to misleaded it. This article explain that commonly there are no difference between coefficient and the “new” coefiecient. AbstrakDalam teori tes klasik di mana “true-score” untuk setiap orang yang di tes tidak dapat diperoleh, koefisien reliabilitas diperlukan agar pengguna hasil tes dapat melihat sejauh mana data yang dimiliki dapat dijadikan pegangan / dipercaya. Misalnya dengan membuat “confident interval” untuk true-score bagi skor tes (yang dalam hal ini adalah skor total dari skor item) yang diperoleh. Selanjutnya, peneliti yang akan menganalisis data hasil tes secara statistik, misalnya dengan analisis regresi, bahkan dapat menggunakan koefisien reliabilitas skor tes tersebut untuk mengkoreksi bias yang terjadi pada koefisien regresi akibat rendahnya reliabilitas skor variabel yang dijadikan prediktor. Oleh sebab itu, ketika data yang dianalisis adalah skor tes (skor-total) seorang peneliti atau pengguna tes harus melaporkan koefisien reliabilitas itu. Koefisien reliabilitas yang sangat populer adalah Cronbach , yang dapat di estimate jika beberapa asumsi terpenuhi, diantaranya asumsi bahwa seluruh item tes adalah paralel dan asumsi bahwa kesalahan pengukuran tidak saling berkorelasi. Seiring dengan kemajuan di bidang psikometri, misalnya dengan dikembangkannya metode Analisis Faktor Konfirmatorik (CFA), koefisien reliabilitas dapat diestimasi dengan lebih akurat meskipun satu atau beberapa dari asumsi tersebut tak dapat terpenuhi. Salah satunya adalah koefisien reliabilitas jika asumsi paralelitas tak terpenuhi, yaitu koefisien dengan memperhitungkan bobot setiap item, yang kemudian ada yang menyebutnya dengan istilah “construct reliability”. Penggunaan kata “construct” di sini ternyata telah menimbulkan kesalahan dalam menafsirkan istilah tersebut. Tulisan ini berisi uraian untuk menjelaskan bahwa pada dasarnya tak ada perbedaan yang mendasar antara koefisien seperti Cronbach  dan sejenisnya dengan koefisien “baru” tersebut.
The Influence Of Policy Intervention, Personal Factor, And Physical Environmental Factor On Pro-Environmental Behavior Agustin Yolandari; Jahja Umar
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 6, No 1 (2017): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v6i1.8147

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Pro-environmental behavior is an act to protect and minimize the negative impacts of human activities on the environment. The purpose from this study is to determine whetherthere's influence from interventions policy, attitude towards pro-environmental behavior, subjective norm, perceived behavioral control (PBC), environmental knowledge (system knowledge, action related knowledge, and knowledge effectiveness), physical environmental factors (physical family environmental factor and physical society environmental factor), gender and age on pro- environmental behavior. The samples are 201 people who lives in Depok and South Tangerang, who has implemented an intervention policy called "Community-based Waste Management" and the areas of which the intervention policy have not been applied. The sampling technique used is a non-probability sampling and the data analysis used is Multiple Regression Analysis on the level of significance at0.05. The results showed that there is a significant influence on the whole independent variable towards pro-environmental behavior (R2=40.1%). Minor hypothesis test results shows that there are 8 variables that have a significant influence on pro-environmental behavior which are interventions policy, subjective norm, perceived behavioral control (PBC), system knowledge, physical family environmental factor, age and interaction between policy intervention and action related knowledge.  Perilaku pro-lingkungan adalah perilaku yang dilakukan untuk melindungi, memperbaiki serta meminimalisir dampak negatif dari aktivitas manusia terhadap lingkungan. Tujuan dari penelitian ini adalah untuk mengetahui apakah ada pengaruh dari kebijakan intervensi, sikap terhadap perilaku pro-lingkungan, norma subjektif, Perceived Behavior Control (PBC), pengetahuan lingkungan (system knowledge, action related knowledge, knowledge effectiveness), faktor lingkungan fisik (faktor lingkungan fisik keluarga, faktor lingkungan fisik masyarakat), jenis kelamin dan usia terhadap perilaku pro-lingkungan. Sampel pada penelitian ini adalah masyarakat yang bertempat tinggal di Depok dan Tangerang Selatan yang telah diterapkan kebijakan intervensi “Pengelolaan Sampah Berbasis Masyarakat” dan daerah yang belum diterapkan, yaitu sebanyak 201 orang. Teknik pengambilan sampelyang digunakan adalah non-probability sampling. Analisis data yang digunakan dalam penelitian ini adalah Multiple Regression Analysis pada taraf signifikansi 0.05. Hasil penelitian ini menunjukkan bahwa ada pengaruh yang signifikan dari seluruh independent variable terhadap perilaku pro-lingkungan (R2=40,1%). Hasil uji hipotesis minor menunjukkan variabel yang memiliki pengaruh yang signifikan terhadap perilaku pro-lingkungan ialah kebijakan intervensi, norma subjektif, Perceived Behavior Control (PBC), system knowledge, faktor lingkungan fisik keluarga, usia dan interaksi antara kebijakan intervensi dan action related knowledge DOI: 10.15408/jp3i.v6i1.8147
Uji Validitas Konstruk dengan CFA dan Pelaporannya Jahja Umar; Yunita Faela Nisa
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 9, No 2 (2020): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v9i2.16964

Abstract

Confirmatory Factor Analysis (CFA) is the most reliable method of construct validity analysis in the fields of psychology, education and social sciences. From the author's observations on research articles as well as bachelor and graduate theses, and dissertations using CFA, it was found that there are a lot of misunderstandings and incompleteness in reporting CFA analysis. This paper is intended as an effort to improve this situation and provide recommendations in reporting data analysis using CFA. At the very least, this article is to show the important things that must be considered in understanding and using CFA and test theory in general.
Self-Efficacy sebagai mediator pengaruh stres kerja dan tipe kepribadian terhadap somatisasi pada anggota polisi satuan lalu lintas polda metro jaya Isnidiniyah Pratiwi; Risatianti Kolopaking; Jahja Umar; Zulfa Indira
‎‎‎TAZKIYA Journal of Psychology Vol 2, No 1 (2014): TAZKIYA Journal of Psychology
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.151 KB) | DOI: 10.15408/tazkiya.v2i1.10757

Abstract

This study aimed to examine the effect of emotional intelligence and attachment styles to the career decision making on SMAN 36 Jakarta. This study used a quantitative approach with multiple regression analysis. The sample totaled 237 high school students were taken using a non probability sampling technique. In this study, researcher modified the instrumental data, namely Assessment of Career Decision Making (ACDM), Wong And Law Intelligence Scale (WLEIS) and Adult Attachment Scale (AAS). Research data analysis using SPSS software, while for the construct validity testing using CFA. Based on the analysis of data, there is three research conclusions. The first conclusion is that there is a significant relationship between emotional intelligence and attachment styles to rational career decision making on students. It was found that the variable that have a significant effect is the use of emotions. The second conclusion is there is no significant relationship between emotional intelligence and attachment styles to the intuitive career decision making on students. It was found that the variable that have a significant effect is the avoidance attachment style. The final conclusion there is a significant relationship between emotional intelligence and attachment styles to dependent career decision making on students. It was found that the variable that have a significant effect is self emotions appraisal and regulation of emotions. For further study, the researcher suggested using other variables such as personality, social support, self efficacy and demographic variables.
“MAKAN YANG BENAR SEHATKAN BADAN”: PROGRAM PENDIDIKAN GIZI SEIMBANG UNTUK ANAK USIA SEKOLAH DENGAN PENDEKATAN REGULASI DIRI Risatianti Kolopaking; Agus Firmansyah; Jahja Umar; Umi Fahmida
GIZI INDONESIA Vol 33, No 2 (2010): September 2010
Publisher : PERSATUAN AHLI GIZI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36457/gizindo.v33i2.93

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The school- aged years are a critical time for delivering nutrition education to children because that is the time that cognitive- motivational processes emerge as an important influence on food choices. Conventional methods of delivering nutritional message emphasize on knowledge acquisition; however, experiential knowledge is more effective to promote healthy eating behavior among children. The current study used self-regulatory approach and social cognitive learning technique to develop nutrition education program for 3rd and 4th grades mid-low income children. Until now, there has not been any study on nutrition education in Indonesia that focuses on developing skills and behaviors related to areas of food and eating habits. The general objective of the study is to identify the effectiveness of the program by assessing dietary intake as a combined measure of children’s self-regulation of food choice, children’s selfmotivation, and maternal self-efficacy on the home food environment. Based on formative study, culturally tailored and age-appropriate in-class lessons adapted from Indonesian food dietary guidelines were designed for mid- to low-income children in an urban area of Jakarta. Students received 24 in -class sessions, 45 minutes each session twice a week, for a 12-week intervention taught by nutrition professionals. Both school teachers and parents were involved in the program. Outcome evaluations were studied using a quasi-experimental design with the intervention (n=137) and comparison (n=120) groups combined for three assessment periods: pre-intervention, post-intervention and follow-up (12 weeks after post-intervention). Participants were pair of children and their mothers. To answer the research questions, a multiple group structural equation model (SEM) with a structured mean analysis was used. The results suggest that nutrition education program with a self-regulatory approach had a significant effect in improving children’s self-regulatory behaviors in terms of food choice and maternal self-efficacy on home food environment. The results also showed that the program had a significant sustain able effect in terms of improving children’s dietary intakes. Using self-regulatory model, the results suggest that there are two approaches to implement the program. One approach is to modify maternal self-efficacy on the home food environment to improve children’s self-motivation and their dietary intake; another is to directly modify children’s self-regulation of food choice to improve their dietary intake.Keywords: school-aged children; nutrition education; maternal self-efficacy; self-motivation; self-regulation