Accountability and Performance Update – Jan 8 – 14, 2024

Webinar: Examining the Impact & Path Forward for the Evidence Act (Wed., Jan. 17, 1 p.m. Eastern)

Data Foundation and others

This special virtual event will preview a forthcoming white paper from the Data Foundation examining the Evidence Act’s tangible impact in the United States on policymaking, evidence-building capacity, data infrastructure, privacy protections, and more.

Vermont Releases Accountability & Performance Report

Barrett & Greene

The state has released its report and recommendations on accountability and performance. Attention to performance management is not new in Vermont. In 2014, the legislature passed Act 186, known as the “Outcomes Bill”, which resulted in an annual report of outcomes for Vermont residents, tied to population-level information.

Federal Agencies Release Refreshed Priority Performance Goals

IBM Center for The Business of Government

So far, 74 agency priority goals have been posted on performance.gov. Of these, some agencies have noted that the wording of their specific goals are still forthcoming. There were 85 agency priority goals in the previous two-year cycle.

Making Measurement Meaningful

Stacey Barr’s Blog

Here’s a link to a white paper: “We can build a meaningful measurement approach through stages. Each stage takes on a common struggle and replaces its root cause with measurement practices that work.”

Impact of Evidence Act: 5 Years of Progress

Data Foundation

Signed into law by a Republican President, passed through a Democratic Senate, championed by a Republican House Speaker, and based on bipartisan commission recommendations, the Evidence Act is quietly revolutionizing how the U.S. government operates.  In just five years, we are seeing major, positive shifts.

Resource of the Week:  Intro to Measurement and Indicators

J-PAL North America

The goal of measurement is to get reliable data with which to answer research questions and assess theories of change. Inaccurate measurement can lead to unreliable data, from which it is difficult to draw valid conclusions. This resource covers key measurement concepts, means of data collection, from whom data should be collected, and common sources of measurement error. 

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