New features of version 12 include:
A list of new features released with NVivo 12
Use NVivo software for qualitative analysis of textual and audiovisual data sources, including:
The following video provides an overview of qualitative analysis using NVivo.
Analysis in NVivo (Windows) by QSR International (YouTube)
NVivo projects typically include the following tasks:
To create a new project file and import research materials:
The following video shows how to start a new project and import files.
Importing with NVIvo 12 (Windows) by QSR International (YouTube)
A code in qualitative research is a word or phrase that summarises or captures the essence of a portion of data.
Coding is the analytical process of categorising data.
In NVivo, coding is the process of gathering related material into a container called a Node. When you open a node, you can see all the references in the project coded to the node.
There are several types of codes in NVivo. Theme nodes are codes that represent the themes or topics that you find in your data. Relationships record the connection between two project items. Sentiment codes are positive and negative nodes created by auto coding of sentiment.
NVivo supports deductive (pre-set coding scheme, often based on emerging themes from a literature review) and inductive (codes generated while examining the collected data) approaches to coding.
If you are taking a deductive approach, you will have a list of pre-defined codes and want to create nodes for these and then code your sources to the relevant node.
To create a New Node:
To code to an existing Node:
If you are taking an inductive approach to coding, you attach codes to units of data as you analyse your files. To do this in NVivo:
The following video demonstrates different ways of coding in NVivo:
Coding in NVivo 12 (Windows) by QSR International (YouTube)
After you have been coding your data for a while, you may notice that you have created two similar nodes and need to merge the contents of both into one node.
To merge two nodes:
A node can also be deleted by selecting it and hitting the Delete key.
All coding will be lost for deleted nodes. Consider renaming or merging nodes instead.
Sometimes you may need to uncode a reference from a file or a node – perhaps the coding was inappropriate, or you may have inadvertently coded the data to the wrong node.
Where data is coded at multiple nodes, you can uncode data from one node without uncoding from the others.
To uncode a reference/s from a file:
To uncode a reference/s from a node:
When working with nodes you can create hierarchies of nodes as you develop concepts. For example, you may have the following nodes relating to mentoring and want to create a hierarchy with mentoring as a higher-level concept.
To do this, select the negative and positive experiences nodes and drag and drop them over the mentoring node. This action makes the moved nodes Child nodes and mentoring the Parent node.
References coded at Child nodes are not automatically included in the Parent node. To include the coding of Child Nodes in the Parent Node you can turn on aggregation by editing the properties of the parent node. To do this simply right click on the parent node, then select Aggregate Coding from Children.
Your participants share common characteristics (e.g., gender, age, etc.) that you can group together to aid your analysis. In NVivo, Case Classifications are used to define these groups and their attributes.
Incorporating demographic data involves the following steps:
Step 1: Create or edit a Case Classification
Classifications can be created by editing a pre-defined classification, importing a classification sheet or by building your own classification in NVivo.
To edit a pre-defined Case classification:
From the Create tab, click Case Classification.
In the New Classification dialog box, select Add one or more predefined classifications to the project, tick the Person checkbox and click OK.
Step 2: Set up attributes and values
Open the pre-defined classification by clicking on the + sign. The attributes (Name, Sex, Age Group, etc) can be edited/deleted and additional attributes can be added if required in your project.
To edit an attribute and set values from a pre-defined classification:
Right click on the attribute (e.g., Sex)
Select Attribute Properties and make the desired changes (e.g., change the name of the attribute to Gender)
On the Values tab, click Add
Enter the name of a value (e.g., Male)
Click Add to enter the name of another value (e.g., Female)
Define the default attribute value (optional) that is set when participants’ are linked to the attribute (useful time-saver if many participants in the study share the same value (e.g., more females than males)
Click OK
To delete an attribute:
Right click on the attribute (e.g., Country of Birth)
Select Delete and Click Yes to confirm deletion
Step 3: Create cases for each participant, code each participant’s data to the case, link the cases to the classification
In this step, the classification is linked to the case of each participant so that all attributes in the classification are available for the participant.
Classifications must be linked to the case node that represents the participant, not to the data file (e.g. the participant’s interview transcript)
To create cases for each participant:
Select all the data files that represent your study participants.
Right Click, then select Create as, Create as Cases. Creating cases from the files in this way codes the file to the case. (If you create case nodes from the ribbon (Create > Case) or by right clicking into List View, you will need to create each case individually and manually code the file to the case).
In the Select Location dialog box, set the location to store your case nodes (e.g., the Cases folder)
In the Assign to Classification drop down menu, select your classification (e.g., People).
Step 4: Specify values for each participant
Select the classification, right click, then select Open Classification Sheet.
A spreadsheet will open in Detail View and you will see the names of your cases.
For each case set specific values for each attribute by clicking on the inverted triangle and selecting the appropriate value.
Use queries to explore your data at different stages of your project.
There are a number of different query types:
Finds all occurrences of a word, phrase or concept
Lists the most frequently occurring words or concepts
Finds content coded at nodes or a combination of nodes and attributes
Find coding intersections between two lists of items
Displays the distribution of coding across cases and demographic attributes
Used to combine a text search and coding query, two text search queries or two coding queries
Compares the coding done by two users or two groups of users
Finds items associated by coding, attribute value, relationships, see also links or maps with other items
Visualisations can be used throughout each stage of your research project.
The following types of visualisations are available:
Present or explore your research data. Types include: bar, column, pie, bubble, heat maps and radar charts.
See patterns in coding or view the attribute values of cases and files.
Brainstorm your ideas
Map concepts and their connections
Represents project items and their linkages
Shows what two items have in common and where they differ
A dynamic diagram focusing on one project item, explore connections between items by stepping forwards and backwards
Find patterns by seeing similarities and differences between files or nodes
Displays social networks as a diagram
© 2024 Libguides. Royal College of Surgeons in Ireland Medical University of Bahrain.