Datasets

What are Datasets?

A Public Health Law Research Program “dataset” is a collection of systematically gathered data that reflect the features of a specific body of laws. Datasets are created by employing scientifically valid methods for measuring law. Each dataset is coded by number to allow for quantitative analysis, in a coding scheme provided in a codebook. The process for collecting the data is provided in a research protocol.


Obesity Prevention Laws
By utilizing a collaborative and iterative search process, researchers at the Harvard School of Public Health created this comprehensive database of obesity-related legislation enacted in the 50 states between 2000-2007. The dataset contains over 100 variables reflecting a diverse array of law...   Read more >
State
Distracted Driving Laws
This database of laws provides a comprehensive view of the provisions of laws that restrict the use of mobile communication devices while driving for all 50 states and the District of Columbia between 1992, when first law was passed, through July 15, 2011. The dataset contains information on 22...   Read more >
State
State Vaccination Requirements and Exemption Laws
This dataset and codebook, produced by Tony Yang and Vicky Debold of George Mason University, includes laws pertaining to U.S. immunization requirements and immunization exemptions. To access the materials, visit http://gmu.pcorp.us/ and use the password "solstice" to enter.     Read more >
State
Americans for Nonsmokers’ Rights Foundation
Americans for Nonsmokers’ Rights Foundation has tracked, collected, and analyzed tobacco control laws around the country since the early 1980s, and the lists below represent only a small percentage of the data. Learn more about their comprehensive collection of state and local laws, covering: clean...   Read more >
State, Local
National Health Surveys
The National Health Surveys of the Behavioral Risk Factor Surveillance System (BRFSS) are a state-based system of health surveys that collects information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury....   Read more >
State
Alcohol Policy Information System
The Alcohol Policy Information System (APIS)  (APIS) provides detailed information on a wide variety of alcohol-related policies in the United States at both State and Federal levels. Detailed, state-by-state, information is available for the 35 policies listed below. APIS also...   Read more >
State, Local

Hierarchy of Evidence

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Hierarchy of Evidence

 

The Public Health Law Research program is dedicated to building the evidence base for public health law. In pursuing this aim, we fund and conduct a diverse array of research activities ranging from formative efforts that identify important research questions to the generation of legal data sets to experiments employing various methodological designs.  

As a service to policy-makers and other consumers of NPO research, we have organized our resources according to this hierarchy of evidence, which depicts levels of the scientific authority.  

In general, resources higher up the pyramid are less susceptible to bias and therefore provide more robust evidence about the effects of public health laws. Experimental designs, for example, utilize randomization and double-blinding to reduce selection and measurement biases making them more powerful tools for understanding causal relationships than quasi-experimental and observational designs.  At the top of our pyramid are studies that use systematic processes such as meta-analysis to assess a question in light of a body of primary studies that have examined it.  At the bottom of our pyramid are foundational resources like legal datasets and papers setting out research agendas. The bulk of our resources are primary studies in the middle two levels.

While this hierarchy reflects judgments about the authority of various designs, it does not suggest that research employing a design from a higher level is always more scientifically authoritative than research conducted in a design from a lower level.