Category: Learning modules
Nvivo memo can be prepared and linked to sources, nodes and case nodes. Like nodes, a memo also can be typed or directly imported to Nvivo.
nvivo data processing, nvivo moduleQueries can be generated in Nvivo by 3 ways; words, content and matrix coding. Not only words but also by number of nodes or classification in different nodes and attributes. For that purpose, Nvivo matrix coding query is useful.
nvivo analysis, nvivo moduleApart from sources, nodes, classifications, queries and maps, the Nvivo main folder also contains the option of ‘Reports’ (see figure below). ‘Reports’ contains a summary of the project.
nvivo module, nvivo result summarisationThe present article shows extensions of ARCH, i.e. GARCH model in STATA. Like ARCH model, ARCH extensions like Generalised ARCH (GARCH) model too need squared residuals as determinants of the equation’s variance.
STATA for data analysisThis article shows the application of one of the other multidimensional scaling methods Individual Differences Scaling (INDSCAL) using Hamlet II. INDSCAL compares the co-occurrence of matrices obtained from comparable search lists.
analysis and scaling, hamletK- 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 module