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What is Manual Coding?

Published in Data Analysis 3 mins read

Manual coding is the process of meticulously organizing and categorizing raw data by hand, without relying on specialized coding software. This involves carefully reviewing the data and assigning appropriate codes to different categories based on predefined criteria.

The Manual Coding Process

Instead of using software, manual coding utilizes traditional tools and methods, such as:

  • Printouts of the data
  • Pencil and paper for note-taking and coding
  • Post-it notes for organizing data segments
  • Highlighters to mark relevant information

While the core process relies on these manual techniques, basic software can be used after the initial coding to organize the manually coded data.

Why Use Manual Coding?

Although automated coding solutions exist, manual coding can be preferred in certain situations:

  • Smaller Datasets: When working with relatively small amounts of data, the overhead of setting up and learning specialized software might outweigh the benefits.
  • Complex or Nuanced Data: Situations where the coding requires a deep understanding of context, cultural nuances, or subjective interpretations may benefit from the human judgment inherent in manual coding.
  • Exploratory Research: In the initial stages of research, when coding categories are still evolving, manual coding allows for greater flexibility and adaptability.
  • Limited Resources: When specialized software is unavailable or budget constraints exist, manual coding provides a viable alternative.

Tools Used in Manual Coding

As mentioned previously, manual coding relies on a range of basic tools:

Tool Purpose
Printouts Providing a tangible copy of the data for review
Pencil/Paper Recording codes, notes, and observations
Post-it Notes Organizing and categorizing data segments
Highlighters Marking key information and relevant passages
Basic Software Organizing already coded data, creating reports/summaries

Example of Manual Coding

Imagine you have a collection of customer feedback forms. To manually code this data, you would:

  1. Read each feedback form carefully.
  2. Identify key themes or topics emerging from the responses (e.g., product quality, customer service, pricing).
  3. Assign codes to represent these themes (e.g., "PQ" for product quality, "CS" for customer service).
  4. Mark or highlight sections of each form that relate to a particular code.
  5. Record the codes assigned to each form.
  6. Tally the number of times each code appears to identify the most common themes.

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