Category: Learning modules
K- Nearest Neighbor, popular as K-Nearest Neighbor (KNN), is an algorithm that helps to assess the properties of a new variable with the help of the properties of existing variables. KNN is applicable in classification as well as regression predictive problems.
analyse with SPSS, classification in supervised learning, Supervised learning, trend discoveryNvivo word frequency query helps to list the most frequent words in the transcripts. It helps to search textual content of sources, nodes, folders and cases. This article explains how to generate Nvivo word frequency query.
nvivo analysis, nvivo moduleMind maps portray the connection between nodes. Concept maps on the other hand help visualise thoughts, define concepts and contemplate the connections.
nvivo data representation, nvivo moduleMind maps are used to brainstorm ideas and visualize thoughts. A mind map begins with a main idea around which associated elements are drawn. They are useful for representing a node hierarchy.
nvivo data representation, nvivo moduleThis article explains qualitative data representation in NVivo. Visualisation takes place on attitudes or perceptions of participants on certain issues. With the use of different tools, visualisation takes place on different qualitative items of projects.
nvivo data representation, nvivo moduleHamlet II helps in quantitative analysis of text. It helps assess the joint occurrences or recurrence of word frequencies in a vocabulary list or in content.
basics of hamlet, hamletCluster analysis serves as an extension to qualitative data representation through data visualisation. It is an exploratory technique for visualising patterns in a study by grouping sources or nodes.
nvivo data representation, nvivo moduleThis article presents the steps to perform frequency analyses which are, keyword in-context or KWIC and graphical analysis of wordlist and compare wordlist.
hamlet, text data analysis