Learning centre

We have prepared various training modules which will help in learning and adoption for your research. Our team of experienced instructors are continuously working towards preparing new modules and training programs for our readers.

Learn to analyse with SPSS

Data analysis has become the most important part of every research, irrespective of the area of research. The dependence on the statistical analysis and the interpretation has increased, especially in the social sciences. There are various statistical software packages available and the Statistical Package for Social Science (SPSS) is one of them. This module will help you to learn SPSS and its major functions.

Learn SPSS

STATA is a versatile software that is particularly useful in the field of econometrics. The software can be used for a range of functions using different tests. Some of them include Analysis of variance, Correlation, and Regression analysis, Analysis of time series models and Panel data analysis. In this module, we make use of a case study to describe how to perform the tests. The goal of this module is to simplify the process of performing diagnostic tests such as stationarity, heteroskedasticity, normality, autocorrelation, and multicollinearity. 

Learn to analyse with Nvivo

NVIVO is a CAQDAS (Computer-assisted (or aided) qualitative data analysis software) application. It is popularly used for analyzing qualitative data. It is useful for analyzing a wide range of unstructured data such as interviews, articles, web content and even audio, video and image data. This module contains a detailed description of how to analyze interview transcripts data on NVIVO. A case example is used throughout the module for easy understanding.

Text analysis

Hamlet II is a software that enables quantitative analysis of textual data. Textual data is mainly collected using open-ended interview questions. This software is popular in the field of social sciences, where open-ended interview questions are often used for analyzing perception. Hamlet II uses graphs to present word frequencies. This module delves into several textual analysis models such as PINDIS, INDSCAL, MRSCAL, MINISSA, MDPREF, and LDA which can be performed only using Hamlet II. 

Learn Hamlet II
Research methodology

Research methodology for any research broadly includes two major aspects. First the data collection and second the procedure followed to analyze the collected data. However, researchers find it difficult to propose the appropriate research methodology to achieve the given aims and objectives of the research. We have prepared the list of articles that will help researchers in choosing the appropriate research methodology.

Learn Research Methodology
Supervised learning

In the digital world of huge data sets, machine learning has become extremely popular. It is broadly divided into supervised and unsupervised learning methods. This module investigates supervised learning methods in detail. Consisting of over 15 testing methods, this module is further divided into classification, regression, detection and estimation tests. Common tests include linear regression, logistic regression, ROC, bootstrap and jackknife, and cluster analysis. 

Learn Supervised Learning
Mendeley logo

Mendeley is an online tool to manage, cite and annotate your references in your paper. It is also called a ‘reference manager’. It helps you store all your online resources for your research in a library which can be accessed with a computer from anywhere and at any time. Mendeley also cites your paper and generates the end list of references automatically. It also allows for sharing the references with other users.

Learn Mendeley