Development And Evaluation Of Data Analysis Indicator Chart For Quantitative Research

Data Analysis plays an important role in helping researchers and students who are conducting quantitative research studies. However, some researchers and students face problems identifying and understanding what type of data analysis to use when conducting the research. This issue has caused problems with the research they are conducting, leading to errors. Due to the situation, we came out with a product named Research Data Analysis Indicator Chart (REDAIC) in the form of sunburst or wheel chart. The purpose of this project is to assist researchers and students whom having difficulty determining which type of data analysis to be used in their quantitative research based on their objectives and sample group. The project’s primary objectives are to design and develop the product along with implementation and evaluation whether the usage of the product meets the purpose. When the researchers use the REDAIC chart, we can see that the product managed to help researchers identify the type of data analysis that will be used by them for their research without any errors. We gave out product evaluation questionnaire using 5 points Likert scale to 30 respondents. The results indicate that the mean value for visual design is 4.76, tutorial approach is 4.77, applicability is 4.73, and user satisfaction is 4.70. We can conclude that REDAIC has fulfilled the needs and wants of the users as indicator of the type of data that needs to be used for quantitative research