CODING OF DATA.pptx.pptx

Data Coding

1. CODING OF DATA

2. MEANING Coding is the process of labeling and organizing your qualitative data to identify different themes and the relationships between them. Coding is a qualitative data analysis strategy in which some aspect of the data is assigned a descriptive label that allows the researcher to identify related content across the data.

3. Process of assigning numerical values to responses that are originally in a given format such as numerical, text, audio or video.

4. OBJECTIVES OF CODING OF DATA The main objective is to facilitate the automatic treatment of data for analytical purposes. Coding allows programmers to build programs, such as websites and apps. Computer programmers can also tell computers how to process data in better, faster ways.

5. Entrepreneurs who have mastered app development will be able to relate to the tech team and comprehend the difficulties they face. This makes teamwork stronger and increases productivity Coding can be applied to data visualisation.

6. TYPES OF CODING Thematic Analysis Coding. Pattern Coding Selective coding Axial coding

7. Elaborative coding Theoretical coding Logitudinal coding Content analysia coding

8. Examples Examples of programs and things built with code are websites, web applications, mobile applications, games, and artificial intelligence systems.

9. Advantages of Coding Coding helps researchers to identify patterns, themes, and relationships in the data, and to generate insights and interpretations. Data entries can be accurate Less storage space required

10. DISADVANTAGES OF CODING Meaning of data can be obscured Value of judgements are difficult to code Entry may be slow