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Coding (social sciences)

In the social sciences, coding is an analytical process in which data, in both quantitative form (such as questionnaires results) or qualitative form (such as interview transcripts) are categorized to facilitate analysis. In the social sciences, coding is an analytical process in which data, in both quantitative form (such as questionnaires results) or qualitative form (such as interview transcripts) are categorized to facilitate analysis. One purpose of coding is to transform the data into a form suitable for computer-aided analysis. This categorization of information is an important step, for example, in preparing data for computer processing with statistical software. Some studies will employ multiple coders working independently on the same data. This minimizes the chance of errors from coding and is believed to increase the reliability of data. One code should apply to only one category and categories should be comprehensive. There should be clear guidelines for coders (individuals who do the coding) so that code is consistent. For quantitative analysis, data is coded usually into measured and recorded as nominal or ordinal variables. Questionnaire data can be pre-coded (process of assigning codes to expected answers on designed questionnaire), field-coded (process of assigning codes as soon as data is available, usually during fieldwork), post-coded (coding of open questions on completed questionnaires) or office-coded (done after fieldwork). Note that some of the above are not mutually exclusive. In social sciences, spreadsheets such as Excel and more advanced software packages such as R, Matlab, PSPP/SPSS, DAP/SAS, MiniTab and Stata are often used. For disciplines in which a qualitative format is preferential, including ethnography, humanistic geography or phenomenological psychology a varied approach to coding can be applied. Iain Hay (2005) outlines a two-step process beginning with basic coding in order to distinguish overall themes, followed by a more in depth, interpretive code in which more specific trends and patterns can be interpreted. Much of qualitative coding can be attributed to either grounded or a priori coding. Grounded coding refers to allowing notable themes and patterns emerge from the document themselves, where as a priori coding requires the researcher to apply pre-existing theoretical frameworks to analyze the documents. As coding methods are applied across various texts, the researcher is able to apply axial coding, which is the process of selecting core thematic categories present in several documents to discover common patterns and relations.

[ "Algorithm", "Social science", "Statistics", "Artificial intelligence", "feature coding", "OPS-301", "Forward error correction", "coding errors", "phonological coding" ]
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