Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Psikologika : Jurnal Pemikiran dan Penelitian Psikologi ANIMA Indonesian Psychological Journal MANASA, Jurnal Ilmiah Psikologi
Santoso, Agung
Program Studi Psikologi, Fakultas Psikologi Universitas Sanata Dharma, Yogyakarta
Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Hubungan antara Ekspresi Gambar Orang dan Faktor-Faktor Kepribadian 16PF Reni Nurhayati; Agung Santoso
Psikologika: Jurnal Pemikiran dan Penelitian Psikologi Vol. 23 No. 2 (2018)
Publisher : Fakultas Psikologi dan Ilmu Sosial Budaya Universitas Islam Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/psikologika.vol23.iss2.art7

Abstract

This study aims to determine how the dimensions of Draw A Person test (DAP) is able to uncover traits from the 16 PF test (The Sixteen Personality Factor Questionnaire). Data from 200 subject who filled the DAP and 16 PF tests were processed and analyzed using exploratory factor analysis and regression. From the analysis of factor analysis to people's image expression data, we obtained 8 sets of factors, namely Factor I - VIII from DAP. From the regression test between Factor 16 PF and the factor image test of the person, it was found several Factors 16 PF which can be used to predict some expressions of people's images. These factors include Factor Q3 which is able to predict Factor VII and Factor Q4 that is able to predict Factor I.
Get Acquainted with Quantile Regression Agung Santoso; Tri Hayuning Tyas
ANIMA Indonesian Psychological Journal Vol. 32 No. 1 (2016): ANIMA Indonesian Psychological Journal (Vol. 32, No. 1, 2016)
Publisher : Laboratory of General Psychology, Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (535.978 KB) | DOI: 10.24123/aipj.v32i1.583

Abstract

This article was written to introduce quantile regression (QR) analysis technique for research in Psychology. The authors present the advantages possessed by QR compared with ordinary least square (OLS) for the regression analysis approach. The QR’s main advantage than OLS is the information concerning the effects of the independent variables on the dependent variable at a location other than the mean. QR can also provide information regarding the effect of independent variables on the distribution and skewness of the dependent variable. Another QR’s advantage is associated with the robustness against violations of assumptions about the normal distribution of data and homogeneity of variance. These two advantages make the authors feel the need to introduce QR in studies in Psychology. The authors are then applying the QR on real data as an illustration. The results of the analysis in the illustration show the advantages of QR over OLS, especially in providing information on the phenomenon under study.
Comparing t Test, rit Significance Test, and rit Criteria for Item Selection Method: A Simulation Study Agung Santoso
ANIMA Indonesian Psychological Journal Vol. 32 No. 2 (2017): ANIMA Indonesian Psychological Journal (Vol. 32, No. 2, 2017)
Publisher : Laboratory of General Psychology, Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.307 KB) | DOI: 10.24123/aipj.v32i2.588

Abstract

Three criteria of items selection have been widely used despite of their limitations without any empirical evidence to support its practice. Current study examined the three criteria to determine which of the three criteria were the best among the others. Those criteria were the item total correlation, its significance by t-test and significance of rit. Simulations were conducted to demonstrate which of the three criteria provided the least errors in both excluding good items and including bad items in the scale. The author manipulate four conditions in conducting simulation study: (a) number of items in a scale; (b) value of rit in population; (c) sample sizes; and (d) criteria in including or excluding items in a scale. The results showed that criteria of rit > .30 provided the least errors of including bad items and excluding good items, particularly when n > 200. The two criteria based on significance test provided the largest errors therefore were not recommended in future practice.
How Reliable The Measurement of Predictors Should Be: Monte Carlo Study in the Regression Framework Agung Santoso
ANIMA Indonesian Psychological Journal Vol. 33 No. 1 (2017): ANIMA Indonesian Psychological Journal (Vol. 33, No. 1, 2017)
Publisher : Laboratory of General Psychology, Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.563 KB) | DOI: 10.24123/aipj.v33i1.1441

Abstract

Current study investigate the effect of measurement error on the estimation of predictors that are measured either with or without error, type 1 error rates, and power to detect non-null parameters. Author also looked for minimum value of measurement reliability needed for the analysis to provide desired results. Such value used to be based only on subjective judgements without any empirical study to support them. Simulation was conducted by manipulating the reliability of one predictor, the sample sizes, and the correlation between predictors. The model used in current study included only two predictors. The results showed that the higher the reliability of predictor measurement, the lower the bias of estimates of the two predictors and the type 1 error rates. Increasing reliability was also followed by increased power. Author also demonstrated that the minimum reliability to achieve desired results should be .8 to .9, not .7 as suggested by others.
Utilizing Fisher’s-Z Transformation for Item Selection Agung Santoso
ANIMA Indonesian Psychological Journal Vol. 33 No. 3 (2018): ANIMA Indonesian Psychological Journal (Vol. 33, No. 3, 2018)
Publisher : Laboratory of General Psychology, Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.599 KB) | DOI: 10.24123/aipj.v33i3.1694

Abstract

The previous work has shown that item selection method based on the use of corrected item-total correlation larger than .3 as the criterion provided the least errors of including items with low corrected item-total correlation in the population and excluding items with high corrected item-total correlation in the population. However, such method did not address the fact that corrected item-total correlation fluctuated across samples. Therefore, in smaller samples, the method provided larger errors. The current article proposed a new method for item selection that took into account the fluctuations of corrected item-total correlation across samples. The method was a significant test of correlation coefficient with the null hypothesis stating that the corrected item-total correlation was larger than or equal to .3. Four simulations were conducted to evaluate the proposed method and its modification. The results showed that the method was performed very well in reducing errors of including items with low corrected item-total correlation even in smaller sample sizes. However, the errors of excluding items with high corrected item-total correlation were large, particularly in small sample size. The large exclusion error was due to the lack of power to reject the null hypothesis when sample size was small. In larger samples, the proposed method and its modification and the method used criterion of corrected item total correlation larger than .3 performed equally well.
MIS-INTERPRETASI NILAI P Agung Santoso
MANASA Vol 3 No 1 (2014): Juni, 2014
Publisher : Faculty of Psychology, Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tulisan ini bertujuan untuk memaparkan pemahaman mengenai nilai p yang benar dan sekaligus menunjukkan kesalahan-kesalahan yang seringkali terjadi dalam interpretasi maupun pengambilan kesimpulan penelitian terkait dengan nilai p. Pemahaman tentang nilai p dibutuhkan dalam uji signifikansi hipotesis nul yang mengarahkan pada jawaban terhadap masalah penelitian yang diajukan. Tulisan ini juga memaparkan hasil survey yang dilakukan penulis mengenai kesalahan interpretasi nilai p. Hasil survey menunjukkan masih banyak dosenpeneliti-mahasiswa yang keliru memahami nilai p. Penulis memberikan tiga rekomendasi yang kiranya dapat mengatasi kekeliruan ini dan dapat meningkatkan pemahaman dan mendorong praktek analisis statistik yang benar di Psikologi di Indonesia.
Co-Authors Reni Nurhayati Tri Hayuning Tyas