Artificial intelligence (AI) is becoming an increasingly influential tool in social work research and practice, offering opportunities...
Nari
To use a custom font in matplotlib graphs and figures in Google Colab, it isn’t as straightforward...
Primary vs. Secondary Data Primary data is information collected firsthand by researchers specifically for their current study....
In this blog post, I will share my experience and the steps I took to effectively prepare...
I decided to write this since I have been asked this question by so many students—and my...
What are Instrumental Variables? Instrumental variable regression is a statistical method used when you suspect that there’s...
Propensity score matching (PSM) is a statistical technique that allows us to estimate the effect of a...
Aspect Fixed Effects (FE) Random Effects (RE) Definition Represent constant parameters that apply to all individuals in the sample. Capture variation across...
Understanding Fixed Effects, Random Effects, and Mixed Effects 1) Fixed Effects Models: In fixed effects models, the...
In this blog post, we’ll explore Poisson regression models using the HINTS 6 dataset. Our dependent variable...
Regression Coefficients, Odds Ratios, and Marginal Effects Feature Regression Coefficients Odds Ratios Marginal Effects Definition Represents the...
Ordinal logistic regression (ordered logistic regression) is a type of regression analysis that is used when the...
Multinomial logistic regression is a method for modeling categorical outcomes with more than two levels. It allows...
In statistical analysis, particularly in regression models, identifying outliers and high-leverage observations is crucial for ensuring the...
In this blog post, I will show you how to use listcoef command in stata for logistic...
