JSTOR Daily

Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...
JSTOR Daily

On the Estimation of Hierarchical Latent Regression Models for Large-Scale Assessments

To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The ...
insider.si.edu

Data analysis using regression and multilevel/hierarchical models / Andrew Gelman, Jennifer Hill

STRI copy 39088014660302 purchased with funds from the S. Dillon Ripley Endowment. SERC copy 39088016914160 purchased with funds from the S. Dillon Ripley Endowment.
Investopedia

Linear vs. Multiple Regression: What's the Difference?

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...
Investopedia

Nonlinear vs. Linear Regression: Key Differences Explained

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...