Category: Learning modules
Joint frequencies analysis helps to search inter-connections between a number of keywords or character strings occurring in the text. It produces matrices of joint frequencies of the items of a specified vocabulary list with respect to a suitably chosen unit of context.
hamlet, text data analysisSlacks based measure or SBM analsysis is a non-radial model to solve the problem in the “additive model” developed by Charnes, Cooper, & Rhodes in 1978. This model can discriminate between efficient and inefficient Decision-Making Units (DMU).
DEA module, measuring returns to scale with deaUnit root indicates a stochastic trend in the time series. Sometimes it is known as “random walk with drift”. A time series dataset will show a systematic unpredictable pattern if it has the unit root.
STATA for data analysisTo test cointegration, Johansen cointegration test is widely used which determines the number of independent linear combinations (k) for (m) time series variables set that yields a stationary process. The test gives the rank of cointegration.
STATA for data analysis, time series analysisGranger causality is a method to examine the causality between two variables in a time series. “Causality” is related to cause and effect notion, although it is not exactly the same. It is a statistical concept which is based on the prediction.
STATA for data analysisReceiver Operating Curve (ROC) is an extension of such classifications. Performance of binary classifier system in the case of ROC analysis can be tested.
classification in supervised learning, Supervised learningData 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 data representation, nvivo moduleNvivo 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.
nvivo analysis, nvivo module