![]() ![]() When the data has been inputted, we can analyze it to produce information. Data tabulation can use cross-section data, time-series data, or panel data. In the data analysis stage, the researchers’ initial step is to input and tabulate the data. The data that has been analyzed can produce information according to the characteristics of the data. ![]() In the context we discuss this time, it can be underlined that data differs from information. Data has a more detailed and technical scope, while information produces explanations that can be used to make decisions. Therefore, the data needs to be analyzed first to get the necessary information.įurthermore, we can distinguish between data and information. If we have not analyzed the data, obtaining the required information will not be possible. Furthermore, panel data is a combination of cross-section data and time-series data. For example: company profit in area ABC measured over 5 time periods. Meanwhile, time-series data consists of one object measured over several periods, for example, consumption, income, & production data in the last 20 years.ĭata involving many objects but measured over several time periods can be called panel data. The cross-sectional data consists of many objects measured in one time period, for example, farmers, companies, consumers, etc. We get cross-section data from the field according to the purpose of data collection. In general, we can divide the data into three, namely cross-section data, time-series data, and panel data. We can choose various data analysis techniques according to the purpose of data analysis. Research data need to be analyzed to obtain the required information. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |