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Found 5 result(s)

WorldData.AI

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Country
WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends. WorldData.AI allows you to save your models in its “My Models Trained” section. You can make your models public and share them on social media with interesting images, model features, summary statistics, and feature comparisons. Empower others to leverage your models. For example, if you have discovered a previously unknown impact of interest rates on new-housing demand, you may want to share it through “My Models Trained.” Upload your data and combine it with external trends to build, train, and deploy predictive models with one click! WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.

Cross-national Equivalent File

CNEF

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The Cross-National Equivalent File (CNEF) contains population panel data from Australia, Canada, Germany, Great Britain, Korea, Russia, Switzerland and the United States. Each of these countries undertakes a longitudinal household economic survey. The data are made equivalent, providing a reference dataset which cross-links each of the individual studies and allowing cross-national comparisons.

Future of Families and Child Wellbeing Study

FFCWS

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The Fragile Families and Child Wellbeing Study changed its name to The Future of Families and Child Wellbeing Study (FFCWS). Note that all documentation issued prior to January 2023 contains the study’s former name. Any further reference to FFCWS should kindly observe this name change. The Fragile Families & Child Wellbeing Study is following a cohort of nearly 5,000 children born in large U.S. cities between 1998 and 2000 (roughly three-quarters of whom were born to unmarried parents). We refer to unmarried parents and their children as “fragile families” to underscore that they are families and that they are at greater risk of breaking up and living in poverty than more traditional families. The core Study was originally designed to primarily address four questions of great interest to researchers and policy makers: (1) What are the conditions and capabilities of unmarried parents, especially fathers?; (2) What is the nature of the relationships between unmarried parents?; (3) How do children born into these families fare?; and (4) How do policies and environmental conditions affect families and children?

Measures of Effective Teaching - Longitudinal Database

MET Longitudinal Database

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The Measures of Effective Teaching(MET) project is the largest study of classroom teaching ever conducted in the United States. The University of Michigan compiled the MET data and video files into a rich research collection called the MET Longitudinal Database. Approved researchers can access the restricted MET quantitative and video data using secure online technical systems. The MET Longitudinal Database consists of a Web-based application for searching the collection and viewing the videos with accompanying metadata, and a Virtual Data Enclave that provides secure remote access to the quantitative data and documentation files.

AmericasBarometer

Barómetro de las Américas

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AmericasBarometer surveys are multi-country, regularly conducted surveys of democratic values and behaviors in the Americas. The raw data are available for free at all LAPOP consortium member institutions, and at all other users worldwide. Besides this a permanent ownership of the data, in becoming a 'repository', is possible for a fee.