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The Online Unpad SAS (Statistical Analysis Series) as a Statistical Software During Pandemic Covid-19 in Indonesia
Ratna Jatnika, Fitri Ariyanti Abidin, Ahmad Gimmy Prathama, Mustofa Haffas

Universitas Padjadjaran


Abstract

Research shows that some students experience anxiety while studying Statistics, especially during the Covid-19 pandemic. However, using online statistical data processing software will significantly reduce anxiety. One of the online statistical data processing software is Unpad Statistical Analysis Series. This study aims to examine whether the Unpad Statistical Analysis Series training improves the ability of lecturers and students to analyze statistical data. Thirty-seven participants attended the training session and had their learning outcomes evaluated. The material used for training is Psychometric Analysis and Sampling Techniques. Evaluation of learning outcomes using one group pretest-posttest design. From the results of the paired-sample t-test, it shows that the software improves the statistical analysis skills of participants for Psychometric Analysis (t = -5,227, p = 0.00, d = 1.20) and Sampling Techniques (t = -8.015, p = 0, 00, d = 1.84).

Keywords: ability in statistical data analysis, pandemic Covid-19, online learning, online Unpad SAS, statistical software

Topic: Educational Technology

Plain Format | Corresponding Author (Ratna Jatnika)

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