CODING OF DATA
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.
• Process of assigning numerical values to responses that are
originally in a given format such as numerical, text, audio or
video.
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.
• 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.
TYPES OF CODING
• Thematic Analysis Coding.
• Pattern Coding
• Selective coding
• Axial coding
• Elaborative coding
• Theoretical coding
• Logitudinal coding
• Content analysia coding
Examples
• Examples of programs and things built with code are websites,
web applications, mobile applications, games, and artificial
intelligence systems.
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
DISADVANTAGES OF CODING
• Meaning of data can be obscured
• Value of judgements are difficult to code
• Entry may be slow

CODING OF DATA.pptx.pptx

  • 1.
  • 2.
    MEANING • Coding isthe 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 ofassigning numerical values to responses that are originally in a given format such as numerical, text, audio or video.
  • 4.
    OBJECTIVES OF CODINGOF 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 whohave 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 ofprograms 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