![]() ![]() Variable values: what are the possible values of the variable (categories or numeric range)? If the variable is categorical, what are the labels corresponding to each category? For instance, gender may be encoded as 1/2, with 1 corresponding to "Women" and 2 to "Men".Variable type: is a variable categorical, ordinal, continuous or text? This is important to check that the variable is identified as such in the software used for storage or analysis.If the variable is a survey question, the exact wording of the question and instructions may also be indicated here. Full descriptions are useful to identify the variable more in detail and may include definitions or explanations of acronyms. Variable name and description: what is the variable name in the data set? What is its full description? Variable names are typically short to facilitate the analysis and need to follow software-specific rules (for instance not include any special characters or spaces).Data collection variables: which variables contain data collection information (date of collection, place, researcher, etc.)?.ID variable(s): which variable(s) contain the unique observation identifier (number or alphanumeric combination)?.The following information can commonly be found in a codebook: Its purpose is to record detailed information on each variable. RGPD (Règlement Général de Protection des Données)Ī codebook is a document (typically a table) describing the variables found in a data set. ![]() ![]()
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