Jahja Umar
Institut Asesmen Indonesia

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Peran Pengukuran Dananalisis Statistika Dalam Penelitian Psikologi Jahja Umar
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 4, No 1 (2015): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v4i1.9256

Abstract

Abstract At least, there are four source of error which cause research result invalidity, especially in data analysis using statistics, those are sampling error, measurement error, specification error, other sources of error that haven't been know and assumed as random error. In psychology research, impact of measurement error to research result validity more dominantly is caused by almost all variables in psychology that are latent. Impact of measurement error generally is in form of under-estimation to statistical coefficient such as correlation, regression, etc. But now, there are methods that can be used to correct all those negative impacts, such as confirmatory factor analysis which result true-score estimation to be used as data that will be analysed. There is also structural equation model analysis where error impact can corrected directly, thus pure correlation and regression coefficient obtained. This article illustrates how serious error that can happen without correction, using SEM approach   Abstrak Setidaknya ada empat sumber kesalahan yang dapat mengakibatkan tidak validnya hasil penelitian,terutamadalamanalisisdatastatistika,yaitu:(a)kesalahansampling,(b)kesalahanpengukuran,(c)kesalahanspesifikasi/teori ,dan(d)sumberkesalahanlainyangbelumdiketahuidandianggapbersifat random.Dalampenelitianpsikologidampak kesalahan pengukuran terhadap validitas hasil penelitian lebih dominankarenahampirsemuavariabelnya merupakan variabel laten. Dampak dari kesalahan pengukuran umumnyaberupaunder-estimasi terhadap koefisien statistik seperti korelasi, regresi, dan lain-lainnya.Namunpadasaatini,telah tersedia berbagai metode statistika yang dapat digunakan untuk mengoreksi dampak negatif tersebut, misalnya analisis faktor konfirmatorik yang dapatmenghasilkanestimate true-scoreuntukdigunakansebagaidatayang akandianalisis.Selanjutnyajugaterdapatanalisismodelpersamaanstrukturaldimana dampak kesalahan pengukuran dapat dikoreksi secara langsung sehingga diperoleh koefisien korelasidanregresiyangmurni.Dalamtulisaninidisajikan ilustrasi (dengan pendekatan SEM) betapa seriusnya kesalahan yang dapat terjadi jika tidak dilakukankoreksi.  
Development and Validation of Situational Judgement Test to Measure Continuous Learning Competency Yunita Faela Nisa; Jahja Umar; Puspita Dian Arista; Helena Widaningrum; Bahrul Hayat
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 11, No 1 (2022): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v11i1.25302

Abstract

Measuring continuous learning (CL) competency is beneficial to achieving success for individuals and organizations. For this reason, the availability of a brief but valid instrument is crucial. This study aims to develop a valid instrument to measure the CL using a situational judgment test (SJT). The instrument was developed and validated using respondents of 502 employees at the supervisory level in the electrical industry (with age M=30.13, SD=6.17). For content validity, we first held focus group discussions with supervisors and managers to identify and develop some essential characteristics of the CL. Subject matter experts were involved in writing and reviewing the items. A confirmatory factor analysis was conducted to test the construct validity, and it was found that 12 of 13 items fitted a unidimensional model. All the factor loadings were statistically significant (p<.05). A further test for parallel assumption was done to check the tau-equivalence. This test is vital because raw scores are mostly used in daily practice rather than scaled scores. The results showed that 12 items met the tau equivalent requirement. For further research, scoring for multiple-choice SJTs using the nominal response model (NRM) could be considered since there was a tendency for some of the questions to elicit ambiguous choices.