Testing the reliability of the data is a first step. Researchers need to demonstrate the trustworthiness of their data by measuring their reliability" (Krippendorff, 2004, p. Here, then, reliability is the degree in which members of a designated community agree on the readings, interpretations, responses to, or uses of given texts or data. This means "that the reading of textual data as well as of the research results is replicable elsewhere, that researchers demonstrably agree on what they are talking about. Researchers need to presume that their data can be trusted to mean the same to all of their users. Therefore, the analyst's ability to examine the phenomena relies heavily on a consensual reading and use of the data that represent the phenomena of interest. When collecting any type of interview data or observations, the phenomena of interest usually disappears right after it has been recorded or observed. The second one is an interpretivist conception of reliability. There are two ways to rationalize reliability, one routed in measurement theory, which is less relevant for the type of data that ATLAS.ti users have. Hence, you may wish to ensure that you yourself are reliably interpreting a code the same way across time, or that you can rely on your colleagues to use it in the same way" (p. If a category is used in different ways, you will be unable to rely on it to bring you all the relevant data. Richards (2009) wrote: "But being reliable (to use the adjective) beats being unreliable. Reliability grounds this confidence empirically (Krippendorff, 2004). Therefore, the researchers should be confident that their data has been generated taking precaution against distortions and biases, intentional or accidental, and that the mean the same thing to anyone who uses them. Thus, the data are the trusted ground for any reasoning and discussion of the results. The purpose of collecting and analyzing data is that researchers find answers to the research questions that motivated the study in the first place. For a more detailed explanation, see Merging Projects. All coders need to use the desktop version (Mac or Windows). As you need to start from a common Master project when setting up a project for ICA analysis, you cannot check for inter-coder agreement if one of the coders is using the Web version.
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