Data visualization is a technique for data representation in the form of tables, charts and diagrams. This article explains representation of demographic information of the participants (e.g. teachers) based on nodes in Nvivo.
Nvivo coding query eases the understanding of nodes and their interconnections. Given the vast array of nodes generated, researchers find it difficult to connect two nodes.
Queries 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.
Apart 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.
The 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.
This 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.
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.