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The purpose of this article is to explain the process of determining and creating stationarity in time series analysis. Creating a visual plot of data is the first step in time series analysis. Graphical representation of data helps understand it better.
assumption tests in STATA, empirical analysis with econometrics, STATA for data analysis, stationarity test, time series analysis, trend analysisPath analysis is a graphical representation of multiple regression models. In this analysis, the graphs represent the relationship between dependent and independent variables with the help of square and arrows.
regressions in supervised learning, Supervised learningThe meta-analysis results involve basic summary statistics, forest plots and model statistics. Besides these, also funnel plot can be obtained to study publication bias amongst the studies in the analysis.
CMA, CMA analysis, result interpretationThe discussion surrounding meta analysis has effect size at the prime spot. It is the magnitude or size of an effect and usually refers to treatment effect in comprehensive meta analysis (CMA).
CMA, CMA analysisFindings in meta-analysis are integrated by the means of effect sizes also known as the currency of meta-analysis. They span the group of ‘indices’. An index is a statistical measure which is a compound representation of the several observations in the study. It gives a general dimension to the phenomenon.
CMA, CMA analysisLinear regression analysis is conducted to predict the dependent variable based on one or more independent variables.
empirical analysis with econometrics, regression analysis, regression with stata, result interpretation, STATA for data analysisIn 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.
empirical analysis with econometrics, panel data regression in STATAWe have already discussed about factor analysis in previous article (Factor Analysis using SPSS), and how it should be conducted using SPSS. In this article we will be discussing about how output of Factor analysis can be interpreted.
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