RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC

The study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine t...

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Main Authors: Karunia Eka Lestari, Fitriani Agustina, Mokhammad Ridwan Yudhanegara, Edwin Setiawan Nugraha, Sisilia Sylviani
Format: Article
Language:English
Published: Universitas Pattimura 2024-10-01
Series:Barekeng
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Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12965
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author Karunia Eka Lestari
Fitriani Agustina
Mokhammad Ridwan Yudhanegara
Edwin Setiawan Nugraha
Sisilia Sylviani
author_facet Karunia Eka Lestari
Fitriani Agustina
Mokhammad Ridwan Yudhanegara
Edwin Setiawan Nugraha
Sisilia Sylviani
author_sort Karunia Eka Lestari
collection DOAJ
description The study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine the income inequality level in Indonesia. The sample size, statistical power, and effect size for the one-sample t-test are evaluated by aid G*Power software. The test results show that for a sample size of 10, at the 95% confidence interval, there is not enough evidence to show that the Gini ratio in 2023 is smaller than 0.4. A retrospective analysis using G*power software reveals that for a sample size of 20 at the same confidence interval, there is enough evidence to suggest that the Gini ratio is statistically significant at less than 0.4 with a power of analysis of 90.8% and an effect size of 0.76. This study has important implications in hypothesis testing, especially in retrospective analysis, since understanding the effect of sample size and effect size makes it possible for academics or practitioners to optimize hypothesis testing and generate more accurate and reliable test results.
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institution Kabale University
issn 1978-7227
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language English
publishDate 2024-10-01
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series Barekeng
spelling doaj-art-0f19dcbf65994efa8d9cb22e5de8ca8f2025-08-20T03:37:34ZengUniversitas PattimuraBarekeng1978-72272615-30172024-10-011842517253010.30598/barekengvol18iss4pp2517-253012965RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMICKarunia Eka Lestari0Fitriani Agustina1Mokhammad Ridwan Yudhanegara2Edwin Setiawan Nugraha3Sisilia Sylviani4Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Singaperbangsa Karawang, IndonesiaDepartment of Mathematics Education, Faculty of Mathematics and Natural Sciences Education, Universitas Pendidikan Indonesia, IndonesiaDepartment of Mathematics Education, Faculty of Teacher Training and Education, Universitas Singaperbangsa Karawang, IndonesiaDepartment of Actuarial Science, Faculty of Business, President University, IndonesiaDepartment of Mathematics, Faculty of Mathematics and Natural Science, Universitas Padjajaran, IndonesiaThe study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine the income inequality level in Indonesia. The sample size, statistical power, and effect size for the one-sample t-test are evaluated by aid G*Power software. The test results show that for a sample size of 10, at the 95% confidence interval, there is not enough evidence to show that the Gini ratio in 2023 is smaller than 0.4. A retrospective analysis using G*power software reveals that for a sample size of 20 at the same confidence interval, there is enough evidence to suggest that the Gini ratio is statistically significant at less than 0.4 with a power of analysis of 90.8% and an effect size of 0.76. This study has important implications in hypothesis testing, especially in retrospective analysis, since understanding the effect of sample size and effect size makes it possible for academics or practitioners to optimize hypothesis testing and generate more accurate and reliable test results.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12965gini ratiohypothesis testingstatistical powerretrospective analysis
spellingShingle Karunia Eka Lestari
Fitriani Agustina
Mokhammad Ridwan Yudhanegara
Edwin Setiawan Nugraha
Sisilia Sylviani
RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
Barekeng
gini ratio
hypothesis testing
statistical power
retrospective analysis
title RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
title_full RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
title_fullStr RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
title_full_unstemmed RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
title_short RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
title_sort retrospective analysis in hypothesis testing to evaluate indonesia s gini ratio after covid 19 pandemic
topic gini ratio
hypothesis testing
statistical power
retrospective analysis
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12965
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AT mokhammadridwanyudhanegara retrospectiveanalysisinhypothesistestingtoevaluateindonesiasginiratioaftercovid19pandemic
AT edwinsetiawannugraha retrospectiveanalysisinhypothesistestingtoevaluateindonesiasginiratioaftercovid19pandemic
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