This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...
This is a preview. Log in through your library . Abstract Researchers in comparative research increasingly use multilevel models to test effects of country-level factors on individual behavior and ...
Study objective: To understand the context for tobacco smoking in young adolescents, estimating the effects of individual, family, social, and school related factors. Design: Cross sectional analysis ...
Multilevel Statistical Modeling for Proteomic Experiments With Complex Designs and Isobaric Labeling
Quantitative mass spectrometry-based proteomic experiments are designed to answer increasingly complex questions. For example, we may want to characterize changes in protein abundance in biological ...
Each year, the Government publishes school performance tables that report the achievement and progress of pupils in English secondary schools. In the 2011 tables, the Government: introduced a range of ...
Please note that the application window for this workshop has closed. If you would like to be informed of future workshops, you can subscribe to the Centre for Multilevel Modelling Newsletter. This ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...
Using multilevel time-series models for estimation of mobility trends The Dutch Travel Survey is an annual sample survey used to compile statistics about mobility of residents of the Netherlands. This ...
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