Ordinary Least Squares (OLS) and Maximum Likelihood Estimation (MLE) are two ways to estimate relationships between variables...
Nari
Regression diagnostics are crucial for validating the assumptions underlying linear regression models. One of the fundamental assumptions...
When reporting the results of a regression analysis, it is important to be careful about the language...
How it is different from Cronbach’s alpha? 📒 Dunn, T. J., Baguley, T., & Brunsden, V. (2014)....
Choosing the right journal for your academic research can significantly impact the reach and recognition of your...
Before we can trust the results of a regression model, we need to make sure that some...
In this blog post, I will show you how to compare the fit of different regression models...
Beta coefficients and unstandardized coefficients are two different ways of presenting the results of regression analyses. Why...
In this post, I will show you how to run regressions with interaction effects using Stata, and...
In this blog post, I will show you how to run a continuous by continuous interaction in...
My steps to do quantitative research In this article, I will not talk about mathematics and formulas...
Running a bivariate regression can help us understand the relationship between two variables. In this tutorial, we’ll...
Handling missing data is an essential part of any data analysis. Multiple imputation is a robust method...
Two way plot line is a tool for visualizing the relationship between two variables in Stata. It...
Correlation analysis is a statistical technique that measures the strength and direction of the relationship between two...
