Wiradhany, Wisnu
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pemahaman Peneliti Psikologi mengenai Besaran Sampel: Data dan Simulasi Wiradhany, Wisnu; Adiasto, Krisna; Yulianto, Jony Eko; Kiling, Indra Yohanes
Jurnal Psikologi Vol 46, No 2 (2019)
Publisher : Faculty of Psychology, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (920.403 KB) | DOI: 10.22146/jpsi.24260

Abstract

The lack of knowledge on how to determine sample sizes in experiments is arguably one of the main reasons underlying the replication crisis in psychological science. A survey distributed among Indonesian students and researchers concerning 1) familiarity and understanding of statistical concepts related to sampling size determination, 2) current sample size determination practices in experiments, and 3) ideal sample sizes for experiments. Subsequently, we simulated expected statistical power given the sample sizes reported in the survey. Results demonstrated that 1) while a majority of participants were somewhat familiar with statistical concepts related to sampling size determination, they did not always endorse the correct and/or complete definition of each concept. Furthermore, 2) participants relied on practical considerations in determining sample sizes. Consequently, 3) the reported sample sizes did not have sufficient power to detect small to medium effect sizes, which are commonly present in psychological science.
CARE Principles to Encourage Adoptions of Open-Source Software in Behavioral Sciences: [Prinsip CARE Sebagai Dukungan Penggunaan Piranti Lunak Sumber Terbuka Dalam Ilmu Perilaku] Wiradhany, Wisnu; Suwartono, Christiany; Bagaskara, Sunu
ANIMA Indonesian Psychological Journal Vol 39 No 1 (2024): ANIMA Indonesian Psychological Journal (Vol. 39, No. 1, 2024)
Publisher : Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/aipj.v39i1.6157

Abstract

Open-source apps and software allow psychological science researchers to collect and analyze data in a more economical and accountable manner. For those who are not convinced yet, this short letter offers a series of arguments and recommendations for adopting open-source apps for data collection and analysis. We put particular emphasis on how using open-source apps support the open science movement by allowing researchers to share research instruments, anonymized data, and data analysis script. Sharing, in turn, facilitates audit, replication, and collaboration, which benefit science in general. Aplikasi dan perangkat lunak sumber terbuka (open-source) memungkinkan ilmuwan psikologi untuk mengumpulkan dan menganalisis data dengan cara yang lebih ekonomis dan dapat dipertanggungjawabkan. Bagi mereka yang belum yakin, surat pendek ini menawarkan serangkaian argumen dan rekomendasi untuk mengadopsi aplikasi sumber terbuka untuk pengumpulan dan analisis data. Kami memberikan penekanan khusus pada bagaimana penggunaan aplikasi sumber terbuka mendukung gerakan sains terbuka dengan memungkinkan ilmuwan berbagi instrumen penelitian, data yang dianonimkan, dan skrip analisis data. Berbagi data, instrumen, dan skrip analisis, pada gilirannya, akan memudahkan audit, replikasi, dan kolaborasi, yang bermanfaat bagi ilmu pengetahuan secara umum.