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.
Focus group interviews: qualitative or quantitative?
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).
Structural equation model (SEM)
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.
Advantages of using Advanced Excel for a large data set
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 […]
Determining the impact of an event on share prices using the event study
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.
Problems faced during statistical analysis using panel data with STATA
In one of my recent projects I had to use panel data 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 using SPSS
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.
Selecting cases for analysis in SPSS
When researcher needs to perform selective analysis (for example, your research aim is to find out gender-based preferences for Lux soap. After you finish your survey, you may choose to do 2 separate analyses in SPSS: first of all males, then of all female respondents), then this command is used, i.e. selecting cases for analysis.