Dewa Made Adi Dharma, Muhammad Din, F. Karim, Masruddin
{"title":"The Quality of Local Government Reports in Indonesia: A Meta Analysis Study","authors":"Dewa Made Adi Dharma, Muhammad Din, F. Karim, Masruddin","doi":"10.2991/assehr.k.210615.089","DOIUrl":null,"url":null,"abstract":"This research aims to describe the data measuring variables with respect to the quality of government financial reports. This is a descriptive statistical research that uses a meta-analysis method in analyzing the data. The collection of data involved the use of documentation techniques drawn from previous research journal papers related to the quality of government financial reports. This study found that among 45 data measuring variables, there were 34 variable that have a significant effect and 11 variables with no significant effect.","PeriodicalId":250419,"journal":{"name":"Proceedings of the 2nd Annual Conference on blended learning, educational technology and Innovation (ACBLETI 2020)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Annual Conference on blended learning, educational technology and Innovation (ACBLETI 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/assehr.k.210615.089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research aims to describe the data measuring variables with respect to the quality of government financial reports. This is a descriptive statistical research that uses a meta-analysis method in analyzing the data. The collection of data involved the use of documentation techniques drawn from previous research journal papers related to the quality of government financial reports. This study found that among 45 data measuring variables, there were 34 variable that have a significant effect and 11 variables with no significant effect.