The previous article speaks of challenges of selection of software and data analysis in a bibliometric study. Challenges of bibliometrics arise at every checkpoint of bibliometrics. Thus, the last section of the bibliometric analysis comprises of challenges with respect to mapping and scattering analysis. Moreover, the challenges also comprise of interpretation from data analyses of mapping and scattering. Read more »
Focus Group Discussion (FGD) is a research method in the social sciences, with a particular emphasis and application in the developmental program evaluation sphere (Doody, Slevin, & Taggart, 2013). Thus, they comprise of predetermined semi-structured interviews whereby broad questions are asked on a theme or a topic generating transcripts of discussion and opinions. Read more »
Structural equation model is a statistical modeling technique. Structural equation model (SEM) tests estimate or establish relationships between variables. It is a multivariate statistical data analysis technique. SEM analyzes the structural relationships or to establish causal relationships between variables. Read more »
In recent years, big data has become a buzz word for them who are relying on digital technologies as it allows storage and analysis of massive data. Here, big data includes both structured and unstructured data sets which require processing capabilities of modern tools. One of the most popular tools to handle big data is Advanced Excel and its relevant add-ons (Rose, Spinks, & Canhoto, 2015).
Event study helps to determine the effect of an event on a dependent variable. In most cases event study is used to determine the impact of an event on the stock prices of a company. The main motive of the event study is to find whether the event has abnormal returns on the prices of the stock. In other words whether the prices would have changed if the event has not taken place. To conduct the event study following steps can be followed: Read more »
In one of my recent projects I had to use panel data for analysis. During the data analysis I faced some problems which may be the most common problems in panel data analysis. So here are some of the problems with their possible solutions that helped me.
Factor analysis is used to find factors among observed variables. In other words, if your data contains many variables, you can use factor analysis to reduce the number of variables. Read more »
A paired sample t-test is used to determine whether there is a significant difference between the average values of the same measurement made under two different conditions. Both measurements are made on each unit in a sample, and the test is based on the difference between these two values. Read more »