CU Boulder News & Events

Using Hierarchical Logistic Regression to Study DIF and DIF Variance in Multilevel Data

When contextual features of test-taking environments differentially affect item responding for different test-takers and these features vary across test administrations, they may cause differential ...
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

Bayesian Adaptive Regression Splines for Hierarchical Data

This article considers methodology for hierarchical functional data analysis, motivated by studies of reproductive hormone profiles in the menstrual cycle. Current methods standardize the cycle ...
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.
EDN

Hierarchical timing analysis: Pros, cons, and a new approach

As digital semiconductor designs continue to grow larger, designers are looking to hierarchical methodologies to help alleviate huge runtimes. This approach allows designers to select and time certain ...
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 ...