David N Lang
@davidnlang.bsky.social
86 followers 310 following 9 posts
Economist and computational social scientist Views do not represent those of my employer
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davidnlang.bsky.social
Come check out my talk tomorrow and learn about the impact of age verification laws on user search behavior
@stanfordcyber.bsky.social #TSRconf

osf.io/4cjpw_v2/dow...
Reposted by David N Lang
cacradle2career.bsky.social
We’re taking the first step towards our Query Builder project📊 🗣️After launching in April, users shared interest in accessing the data powering Student Pathways beyond the preset visualizations. We’re meeting your needs by providing an accessible format to dive into the data now! bit.ly/C2C-datasets
C2C graphic image promoting the Student Pathways Dataset
Reposted by David N Lang
cacradle2career.bsky.social
📊Who is C2C for?

Whether you’re a student, educator, researcher, advocate, a policymaker – we invite you to learn more about how C2C’s tools and resources can help you improve outcomes for Californians! c2c.ca.gov
Reposted by David N Lang
cacradle2career.bsky.social
🔍Why is C2C needed?

Through C2C:
✅Student and families can make informed decisions about their future goals.
✅State leaders can access info to support policy decisions. 👇
Reposted by David N Lang
cacradle2career.bsky.social
👋The California Cradle-to-Career Data System is officially on @bsky.app!

💭About us: We’re California’s official source for info on education and workforce outcomes. c2c.ca.gov 👇
davidnlang.bsky.social
what’s the topic? i had one that was pending before the supreme court.
Reposted by David N Lang
johnholbein1.bsky.social
You've heard of the many analysts projects, right?

Scholars give the same dataset/question to a bunch of researchers & they still get different answers.

Why is that?

Data cleaning!

This is consistent with Gelman's "garden of forking paths." Small coding decisions often drive results.
davidnlang.bsky.social
If you are a macroeconomist, I would say lock in your estimates of the output gap now and potential gdp now. I believe this is going to be the most important question in macroeconomic policy for next 12 months.
Reposted by David N Lang
murray.senate.gov
Trump's tariffs are a massive tax that YOU will pay.

That means higher prices and serious pain for families and small businesses across our country.

Repost if you agree Republicans need to join Democrats and vote to END the chaos & REVERSE these reckless tariffs.
Reposted by David N Lang
jrothst.bsky.social
We are hiring an education researcher to join the @capolicylab.bsky.social and @berkeleycshe.bsky.social teams. You'll work on projects using administrative data relating to California higher education. Here's more information: capolicylab.org/careers/rese...
Reposted by David N Lang
betsyjwolf.bsky.social
Gutting research and science hurts Americans.
davidnlang.bsky.social
I am OOO but one of the things I have been thinking about is how this pairs with the notion of overalignment ies.ed.gov/ncee/wwc/Doc...
ies.ed.gov
davidnlang.bsky.social
I admire your courage and sacrifice. I nuked mine and only had 1k followers.
Reposted by David N Lang
andrewdeanho.bsky.social
Want to help save research using NCES restricted-use data? Here is a gdrive with actions, background, and context from my colleague sean reardon (sharing with permission):
1) actions
2) background
3) list of data files: drive.google.com/drive/folder...
davidnlang.bsky.social
Very useful thread. This also a helpful reminder for folks who are working with coarse statistical tables and historical documents as well.
dynarski.bsky.social
If you have research dependent on these data here is my suggestion
1/N

Big picture:

Create a dataset of cell means (cells must be big enough to pass disclosure)

- load these cell means into many, many tables & put through review

-These cell means can then be used in OLS - which runs on means
andrewdeanho.bsky.social
Research with restricted-use data is more precise, powerful, and relevant. Faculty and staff will be working through the weekend to answer important research questions before we no longer can. This is not normal, necessary, or efficient.
Reposted by David N Lang
dynarski.bsky.social
If you have research dependent on these data here is my suggestion
1/N

Big picture:

Create a dataset of cell means (cells must be big enough to pass disclosure)

- load these cell means into many, many tables & put through review

-These cell means can then be used in OLS - which runs on means
andrewdeanho.bsky.social
Research with restricted-use data is more precise, powerful, and relevant. Faculty and staff will be working through the weekend to answer important research questions before we no longer can. This is not normal, necessary, or efficient.
aeraedresearch.bsky.social
AERA has just learned that all restricted-use NCES data licenses will be cancelled, possibly as early as March 20. We urgently request that all AERA members and others in the research community with restricted-use licenses take these two actions: www.aera.net/Research-Pol...
Reposted by David N Lang
aeraedresearch.bsky.social
AERA has just learned that all restricted-use NCES data licenses will be cancelled, possibly as early as March 20. We urgently request that all AERA members and others in the research community with restricted-use licenses take these two actions: www.aera.net/Research-Pol...
Reposted by David N Lang
itemrespwarehouse.bsky.social
Simulation studies are common in psychometrics. We are trying to make them more relevant to practice by increasing their connection to empirical data. Feedback welcome!
osf.io/preprints/ps...
OSF
osf.io
davidnlang.bsky.social
Thanks for helpful comments from @robbwiller.bsky.social @jrothst.bsky.social @nickhuntington12.bsky.social and many others
zevesanderson.com
Do age-verification laws for online adult content work? Based on Google search data, not really.

New WP from me and & co-authors up now on OSF: osf.io/z83ev
Reposted by David N Lang
dcollier74.bsky.social
Hey, I am guest-editing an issue on student loans.

RE: collapse of Academic Twitter, we're extending the call for abstracts til March 31st.

If you have #Qualitative work on #studentloans, submit!

Requote and share widely.

#AcademicSky #EduSky #HigherEd

ojed.org/hepe/announc...

*Link works now
Description: Despite the growing national conversation around student loan debt, there is a notable lack of qualitative research exploring its personal and emotional impacts on borrowers. Most studies focus on quantitative data, such as default rates, repayment trends, and economic effects, overlooking the nuanced experiences and perspectives of individuals grappling with debt. The lived realities of borrowers—how they manage the stress of repayment, navigate complex forgiveness programs, or make life decisions around their debt—remain underexplored. This gap in the literature presents an urgent need for qualitative studies that can provide deeper insights into the psychological, social, and financial burdens of student debt. We call for proposals that prioritize borrower narratives to better inform policy changes and humanize the debt crisis.

Number of Inclusions: We are seeking up to eight (8) high-quality qualitative articles for inclusion in the special issue. We welcome submissions that utilize mixed or multiple methods, but the qualitative component must be equally emphasized or more prominent. Our goal is to strengthen the representation of qualitative research in the literature.

Timeline:  Calls for proposal will occur in October 2024 and will be open until March 31st, 2025.  Proposals will be up to 700 words and should include: introduction, short lit review/study purpose, methods, and if applicable initial findings.

Proposal decisions are expected to occur in July 2025.  For accepted proposals, full papers will be due August 2025 and will be subjected to peer-review.  We expect peer-review to last no longer than 60 days (November 2025) and will provide authors another 30 days (December 2025 - January 2026) to make revisions.  Once all final revisions are completed the special issue will go to press.
davidnlang.bsky.social
Very excited to be a part of this and cautiously optimistic I might be the first person to cite it.
nickchk.com
After a long wait, the working paper for the Many-Economists Project: The Sources of Researcher Variation in Economics. We had 146 teams perform the same research three times, each time with less freedom. What source of freedom leads to different choices and results? papers.ssrn.com/sol3/papers....
The Sources of Researcher Variation in Economics
We use a rigorous three-stage many-analysts design to assess how different researcher decisions—specifically data cleaning, research design, and the interpretat
papers.ssrn.com
Reposted by David N Lang
itemrespwarehouse.bsky.social
Do you need educational and psychological item response data to do your research? The IRW has 600 item response datasets (more coming!), distributed in a standardized format and ready for analysis.