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Mac users: Remote assistance for installing NVivo for Mac is available by calling the Technology Help Desk at 717-477-HELP (x4357). NVivo for home/personal computers. NVivo is also available for installation on home/personal PCs and Macs for all campus faculty, staff, and students. To install NVivo on a personal device, follow these simple. Download Crack NVivo 11.4.0 License Incl Crack Free Download (Win-Mac) NVivo 11.4.0 Crack is the world’s #1 qualitative data analysis (QDA) computer software that allows you to collect, organize and analyze content from interviews, focus group discussions, surveys, audio, social media data, YouTube videos and web pages.


NVivo for Mac is the first software for qualitative data analysis that is a true Mac application built to OS X guidelines, providing a true Mac experience for computer assisted qualitative data analysis software (CAQDAS) users. You can work with content from documents, PDFs, audio and video, enabling you to evaluate, interpret and uncover social phenomena.
Using NVivo for Mac you can:
-Analyze interview transcripts, focus group discussions and observational data.
-Analyze qualitative content in the form of documents, PDF, audio and video.
-Use memos, classifications and queries to support your literature review.
NVivo for Mac highlights
-Work with sources like documents, PDF, audio and video materials.
-Find themes by creating nodes, code to new or existing nodes, highlight coded content and display coding stripes.
-Create, edit, import and work with audio and video transcripts, synchronized with your media.
-Record information about the people, places or cases in your research by using classifications, then exchange with other software like IBM SPSS Statistics for further analysis.
-Use coding queries to uncover patterns in your data, test ideas and see connections between people, places, topics and themes in your project.
-Run text search queries to find words and phrases in your data and view them in context, or automatically code this content. Gain insight into your data and visualize the results in a word tree.
-Organize your data using folders and sets.


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Queries help you to explore your data and investigate hunches as you progress through your project. This topic introduces the different types of queries and helps you to get up and running.

In this topic

What are queries?

Queries provide a flexible way to gather and explore subsets of your data. In NVivo, you can create queries to

  • Find and analyze the words or phrases in your sources and nodes. You can find specific words or those that occur most frequently.

  • Ask questions and find patterns based on your coding and check for coding consistency among team members.

You can create the following queries in NVivo:

QueryDescriptionExamples
Text SearchFind all occurrences of a word, phrase, or concept.
  • Find and analyze all occurrences of the phrase alternative energy.
  • Find the words policy or legislation and code them at the new node government.
Word FrequencyFind the most frequently occurring words or concepts.

  • Look for the most frequently occurring words in a set of interviews.

CodingFind all content coded at selected nodes, a combination of nodes, or a combination of nodes and attributes.

  • What do property developers say about rising sea levels?—run a query to gather content that has been coded atrising sea levelsand at nodes with the attributeproperty developer.

  • Show me content coded at both coral bleaching and rising sea temperatures.
Matrix Coding

Find a combination of items (usually nodes and attributes) and display the results in a table.

  • Compare thepositiveandnegativeattitudes of interview participants to a range of local council services.
  • Compare how the termssustainable,conservationandglobal warming are used by different lobby groups—run text searches and create a node for each term and then use the nodes in the matrix criteria.
Coding comparison

Compare coding done by two users or two groups of users.

This query measures the 'inter-rater reliability' (Cohen's Kappa coefficient) or the degree of agreement for coding done by selected users.

Compare coding between users in different locations or from different disciplines who are coding the same data in order to check the consistency of their coding.

Refer to Move forward with queries and visualizations for more ideas about how you can use queries in your project.

How do I get started with queries?

The best way to become familiar with queries is to run some simple queries and preview the results.

Refer to Create, edit and manage queries for more information on creating queries.

Understand query results

When you run a query, the results are displayed in Detail View—for example:

  • Coding query results are a temporary node. You can view the source content (Reference pane) or the sources that contain the content (Summary pane).

  • Word Frequency query results are a list of words. You can also visualize the results as a word cloud.

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The results of some types of queries can be saved in your project—for example, you can save the results of a Coding or Text Search query as a node.

After you have explored the results in Detail View, you can decide whether or not you want to save them. You may have no need to save the results—if you do not save them, they are discarded when you close the Detail View window.

If you delete or update project items that are included in saved query results—the results are updated to reflect the changes. If you add new items that match the query criteria they are not automatically included in the results. To make sure that your query results accurately reflect the current state of your project, it is best to run the query again.

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Refer to Manage query results for more information.

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