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- #How to classify attribute and value data in nvivo 12 manual
- #How to classify attribute and value data in nvivo 12 code
use this rather than the below option only if you really do not understand option C. You can combine/copy/merge those case type nodes into another node based on a socio demographic characteristic (and so on with other socio demographic values) female, male, OR female of 20-29yrs old etc. Where a file consists of more than one case you can use the code/node applied to each case to view just that case (say one speaker from a focus group)ī. Once you have done this (however you do it see below at section 12.2) It enables several possibilities for you straightaway.Ī.
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Sometimes nodes will be needed to represent observations, field notes, or material about studies or places. If the answer to the second question above was YES and you do have a complex dataset with many socio-demographic or other information to keep in mind about your respondents/cases then you need to create Nodes which act as structural nodes representing for your individual respondents or the other units of analysis you are dealing with.
#How to classify attribute and value data in nvivo 12 code
12.1.2 MORE COMPLEX METHODS OF ORGANISATIONĬreating nodes to represent and code respondents/cases/other units of analysis (Though you can do separate queries to build up a sense of comparison). to produce an easy cross tabulation matrix style output in one query. Multiple folders cannot be searched ‘across’ - i.e. They can’t be combined to create more complex scoping for a query. You may already have organised you source files in folders – these can act as a filtering device when doing later Queries ‘Items in Selected Folder’ using the query tool – similarly Sets (if you have sources there) can acts as an ‘Selected item’ to filter to. If the answer is YES, y ou probably need to make a choice from the more complex methods of data organisation 12.1.1. complex facts, features and information to keep in your head when it will come to interrogating and comparing across and within different files and cases? If the answer is YES you can ignore the more complex options for data organisation and possibly focus on the simpler options.Ģ.Do you have too much information i.e. We strongly advise you to follow the logic of all the advice below in sequence.ġ.Do you have a very homogenous data set with not many differences in respondent type or socio demographic characteristics are not relevant? Some of the methods you may already be using. We all the methods (and state their shortcomings if there are any, so that you can make the right choice for your data). Organizing data using NVivo’s most efficient method for doing so is not the easiest process to absorb and get right.
#How to classify attribute and value data in nvivo 12 manual
Related: "Using NVivo" Cover, NCapture and the Web, YouTube, and Social Media, Import Classification Sheets Wizard: Step 4, Future Look: Data Repositories for NVivo-based Data Sets?, Manual Coding in NVivo, mixed methods research, Import Classification Sheets Wizard: Step 3, Classifications with Pullouts, Complementary Tools, Research Journaling in NVivo, qualitative research, Conducting Data Queries in NVivo (Part 1 of 2), Creating Relationships between Project Items (Nodes, Sources, and Other Entities), Right-click Open Classification Sheet, What is NVivo?, Creating Case Nodes, Some Types of Data Visualizations in NVivo, Creation of a New Node Classification, Creating Codebooks in NVivo (through Reports.through Share), A Simplified Timeline of Qualitative and Mixed Methods Research (as a semi-recursive process), The NVivo User Interface, Setting up a Qualitative or Mixed Methods Research Project.This section only deals with the organisation of primary data – see a short section at the end which discusses the organisation of e.g.