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Qualitative data has been described as voluminous and sometimes overwhelming to the researcher. In what ways...

Qualitative data has been described as voluminous and sometimes overwhelming to the researcher. In what ways could a researcher manage and organize the data?

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Expert Solution

Qualitative Data Analysis(QDA) is the range of processes and procedures where by we move from the qualitative data that have been collected into some form of explanation,understanding or interpretation of the people and situation we are investigating. QDA is uaually based on an interpretative Philosophy.
​ The goal of qualitative data management and analysis is to order,structure and giving meaning to collected data that assigned participants to represents beliefs and experiences-such as employment's effect on happiness,most enjoyable job or past professional training.
​There are 7 steps to managing Qualitative Databases:-
​    1, Keeping copies of important information.A data management system should also be backed up and backups updated as data preparation and analysis proceeds.
​ 2, Arranging field notes or researcher commentary in a chronological,genre,cast-of-charecters,event or activity,topical or qualitative data file schema.
​    3, Creating a system for labelling and storing interviews.
​    4, Catalogical all documents and artifacts.
​ 5, Providing for the safe storage of all meterials.
   6, Checking for missing data.
​ 7, Developing a process for reading and reviewing text.
Organizing data:
​ It is important to keep your evaluation information organized. you may need database or spreadsheet to organize your data.
​ Tips for designing database include:-
​    -- Assign a unique identifier to each individual in your dataset.
   -- Include all information about an individual in one row of your database.
​ -- Limit responses so that incorrect information cannot be entered.
​ -- Code text responses into numerical form so that they are easier to analyze.(e.g, 1=yes, 2= no)
      -- Enter data in a consistent format.


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