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Because the process of collaboration itself determines the premises of a research project (namely, how a phenomenon is conceived of and the ways it is to be apprehended) not reporting the methods of collaboration can make it difficult for others to assess the validity, reliability or trustworthiness of data collection and inferences, and to build on the methods of earlier groups.
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Rigour of data collection and analysis enhances the trustworthiness of these findings [ 26].
"Pregnant women also tend to become overweight because the women believe that if they eat more they will nourish the baby" (Interview 12) "There are some limitations here… they have limited movement" (Interview 10) For trustworthiness, it is important to choose a suitable method of data collection.
Trustworthiness of the data collected in this study was met through triangulation of three aspects of data collection: i) having different respondents, ii) using different methods of data collection such as IDIs and FGDs, iii) using different researchers with different experiences to conduct interviews and moderate group discussions [ 24].
Trustworthiness of the data was met through triangulation of three aspects of data collection: i) having different respondents, ii) using different methods of data collection such as IDIs and FGDs, iii) using different researchers with different experiences to conduct interviews and moderate group discussions [ 28].
Trustworthiness of the study was established using within-project evaluation and was accomplished by multiple methods of data collection (interviews and document analysis), iterative data analysis and coding, member checks of themes with several participants.
Science recognizes multiple methods of data collection.
Find a list of data collection sites.
Operational defnitions were used to link each overarching theme and its associated sub-themes to the units of analysis, see example below: > The coding process, operational defnitions, themes and audit trail were shared with experienced researchers to check the transparency of the process, which enhanced the trustworthiness of the data collection process [ 29].
Operational definitions were used to link each overarching theme and its associated sub-themes to the units of analysis (sources), see example: The coding process, operational definitions, themes and audit trail were shared with experienced researchers to check the transparency of the process, which enhanced the trustworthiness of the data collection process [ 27].
RAP depends on triangulation, which is the use of multiple methods, a multidisciplinary research team, and a variety of types of settings and subjects, to gain a high level of trustworthiness in data collection and analysis.
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