Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool
Data from community-based research offer crucial insights into community needs, challenges, and strengths, informing effective decision making for development strategies. To ensure efficient analysis, accessible and user-friendly tools are necessary for quick and accurate results. While successful t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Social Sciences |
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| Online Access: | https://www.mdpi.com/2076-0760/14/6/346 |
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| author | Jonathan Bennett Mehdi Hajilo Anna Paula Della Rosa Rachel Arthur Wesley James Karen Matthews |
| author_facet | Jonathan Bennett Mehdi Hajilo Anna Paula Della Rosa Rachel Arthur Wesley James Karen Matthews |
| author_sort | Jonathan Bennett |
| collection | DOAJ |
| description | Data from community-based research offer crucial insights into community needs, challenges, and strengths, informing effective decision making for development strategies. To ensure efficient analysis, accessible and user-friendly tools are necessary for quick and accurate results. While successful tools and programming languages exist, many social science researchers struggle with complex analytical tools due to limited exposure during their education, as such tools are often not required. Developing an automated, user-friendly tool for community research can support students, researchers, and data centers by bridging gaps in analysis capabilities and enhancing the accessibility of valuable insights. We developed a new automated tool using the Shiny framework in R designed primarily for analyzing data in community research, which often involves pre- and post-analysis tests. While the tool is specifically tailored for pre- and post-survey data, it can also be easily adapted to provide other statistical information. The findings presented in this paper highlight the efficiency of using this tool for community-based research and emphasize the need for further development to address its shortcomings. Furthermore, this paper is considered the groundwork for developing more accessible, user-friendly, and free tools in the future, especially in an era of advanced and complex technologies. |
| format | Article |
| id | doaj-art-d6f8b3af669f4dbaaeb680069b21592c |
| institution | Kabale University |
| issn | 2076-0760 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Social Sciences |
| spelling | doaj-art-d6f8b3af669f4dbaaeb680069b21592c2025-08-20T03:27:22ZengMDPI AGSocial Sciences2076-07602025-05-0114634610.3390/socsci14060346Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated ToolJonathan Bennett0Mehdi Hajilo1Anna Paula Della Rosa2Rachel Arthur3Wesley James4Karen Matthews5Center for Community Research and Evaluation (CCRE), University of Memphis, Memphis, TN 38152, USACenter for Community Research and Evaluation (CCRE), University of Memphis, Memphis, TN 38152, USACenter for Community Research and Evaluation (CCRE), University of Memphis, Memphis, TN 38152, USACenter for Community Research and Evaluation (CCRE), University of Memphis, Memphis, TN 38152, USACenter for Community Research and Evaluation (CCRE), University of Memphis, Memphis, TN 38152, USADelta Health Alliance, Stoneville, MS 38776, USAData from community-based research offer crucial insights into community needs, challenges, and strengths, informing effective decision making for development strategies. To ensure efficient analysis, accessible and user-friendly tools are necessary for quick and accurate results. While successful tools and programming languages exist, many social science researchers struggle with complex analytical tools due to limited exposure during their education, as such tools are often not required. Developing an automated, user-friendly tool for community research can support students, researchers, and data centers by bridging gaps in analysis capabilities and enhancing the accessibility of valuable insights. We developed a new automated tool using the Shiny framework in R designed primarily for analyzing data in community research, which often involves pre- and post-analysis tests. While the tool is specifically tailored for pre- and post-survey data, it can also be easily adapted to provide other statistical information. The findings presented in this paper highlight the efficiency of using this tool for community-based research and emphasize the need for further development to address its shortcomings. Furthermore, this paper is considered the groundwork for developing more accessible, user-friendly, and free tools in the future, especially in an era of advanced and complex technologies.https://www.mdpi.com/2076-0760/14/6/346democratizing data analysiscommunity-based researchautomated toolquantitative analysisuser evaluation |
| spellingShingle | Jonathan Bennett Mehdi Hajilo Anna Paula Della Rosa Rachel Arthur Wesley James Karen Matthews Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool Social Sciences democratizing data analysis community-based research automated tool quantitative analysis user evaluation |
| title | Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool |
| title_full | Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool |
| title_fullStr | Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool |
| title_full_unstemmed | Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool |
| title_short | Democratizing Quantitative Data Analysis and Evaluation in Community-Based Research Through a New Automated Tool |
| title_sort | democratizing quantitative data analysis and evaluation in community based research through a new automated tool |
| topic | democratizing data analysis community-based research automated tool quantitative analysis user evaluation |
| url | https://www.mdpi.com/2076-0760/14/6/346 |
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