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A diverse group of 27 low-income mothers in New York State was interviewed in depth; data were coded and analyzed qualitatively for emergent themes.
The data were coded and analyzed using the Statistical Package for Social Sciences SPSS) version 21.
The data were coded and analyzed using Dedoose qualitative data analysis software.
The collected data were coded and analyzed using STATA software (version 9.0) from StataCorp (2013).
To more accurately pinpoint the sources of test takers' attitude to the VET, the qualitative data were coded and analyzed with the aid of NVivo.
Data were coded and analyzed using a thematic approach.
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All participants gave written consent; data was coded and analyzed anonymously.
The data was coded and analyzed using two strategies derived from Grounded Theory, coding and memo writing.
All qualitative data was coded and analyzed using NVIVO-v8 software.
The data was coded and analyzed using the SPSS package.
After the interviews the dietary data was coded and analyzed using food composition tables [ 25].
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