Assignment #5 Coding Qualitative Data Assignment Instructions

DATA CODING

process used in data analysis to develop codes from the collected data. And quantitative research. The data is either obtained from various documents, observations, interviews, or questionnaires. The purpose of data coding is to bring out the essence and meaning of the data collected by the researcher. Decoding. This process should only be attempted or gun when the researchers fully familiar with the data he or she has collected. Coding is about labeling section of the texts. There can be multiple codes for the segment of the data. Codes are used to identifying interesting points or features in the data. Coding and organizing literature. Every researcher code their work in different ways. According to Ryan Bell and hardly, coding is the starting point for most forms of qualitative data analysis. Steps to consider. For data coding. Hold your data as soon as possible. This will enhance your understanding of the data as well as with theoretical standpoint. Further, this process will alleviate cluster and the feeling of being swamped by collected data. You should start by reading, reading again, and then read again. And then coax suggested that the first time you read thoroughly and tried to make sense of the texts. This also applies to any audio or visual effects. The second time you look at the texts, I start to highlight what seems to be essential themes or pattern annotate alongside to indicate why you think these themes are patterns are important. The third time, read and check your annotations and highlights. And actually soil. Have you missed anything? Do you, do your justification makes sense? What linkages do you begin to see in your code? Review your codes as it relates to the transcript. For connection with total the codes. Is there evidence where participants believe that one code or one thing tends to associate with are caused by something else here. So hold those convection. Consider more general, their general theoretical ideas in relation to the code that outline the connection between concepts and theories you are creating. Develop the linkage. We're making a revert to the data for confirmation. Any information that slices the data should be coded in different ways. Keep coded in perspective and do not equate it with analysis, annotated alongside to indicate the significance of the code. Keep in mind, each code needs to be identified by its location in the transcript. Each code will be considered as to whether it links to another code. And each code should also be compared to other documents. Texts, you're looking to ensure that each time you see the same word or phrases, they are all assign the same code. There are a number of issues with coding that might raise their heads and that integrating might make apparent. These include the fact that no two researcher would ever called precisely the fight, is because coding is mainly subjective and based on a person's worldview, just as no one knowledge will be exactly the same as another or anyone else. Their understanding knowledge are also diverse. There's also the issue of time. It takes time to complete a research project. And over time, the researcher's understanding, knowledge and data may change. Thus coating may also change. This is the reason for each code given at the time of coding must be kept up to date so they can be checked against the new codes. Coding software. There are different types of software that can help if you prefer not to code by hand. One of the most well-known software for coding is NVivo. It is a software that support mixed methods as well as qualitative research. You can use it to analyze interviews and focus groups, audios, and some survey work, as well as social media and videos, such as YouTube. And Vivo, handles many types of that. Including word, PDFs, pictures that a tables, spreadsheets, audio files, video, including new to social media data, and webpages. It can interchange data with other application such as Word, Excel, SPSS, Survey Monkey, and note, an Evernote. It also handle several languages as well as English, French, German, Spanish, Portuguese, simplified Chinese, and has a separate Japanese interface. Your conclusions, query results, models, and charts can also be exported or simply copy and paste into reports and presentations. Quoting quantitative data. Though it might seem easy to do, do not under estimate the rigor that is embedded in this process. Remember to code as soon as you ascertain the transcribed data. This will alleviate much criticism, such as the possibility of losing context of what is said by your participant or fragmented data through your narrative. The coding process is of great significance to qualitative research. As it sets the stage for data analysis.