Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Natalya Verbitsky-Savitz"'
Publikováno v:
New Directions for Evaluation. 2020:123-138
Autor:
Catherine Roller White, Brandon Coffee-Borden, Natalya Verbitsky-Savitz, Theresa Barila, Peter J. Pecora, Margaret Hargreaves, Andi Ervin, Kathy Adams, Lexie Perreras, Geoffrey B. Morgan, Renee Hunter, Lyndie Case
Publikováno v:
Children and Youth Services Review. 76:142-153
In 2012, the ACEs Public-Private Initiative (APPI), a Washington State consortium of public agencies, private foundations, and local networks, was formed to study interventions to prevent and mitigate adverse childhood experiences (ACEs) and facilita
Autor:
Howard S. Bloom, Alma E. Vigil, Natalya Verbitsky-Savitz, Michael J. Weiss, Himani Gupta, Daniel N. Cullinan
Publikováno v:
Journal of Research on Educational Effectiveness. 10:843-876
Multisite trials, in which individuals are randomly assigned to alternative treatment arms within sites, offer an excellent opportunity to estimate the cross-site average effect of treatment assignment (intent to treat or ITT) and the amount by which
Autor:
Hanley Chiang, Joshua Furgeson, Joshua Haimson, Bing-ru Teh, Natalya Verbitsky Savitz, Brian Gill
Publikováno v:
Statistics and Public Policy. 3:1-11
A growing literature on within-study comparisons (WSC) examines whether and in what context nonexperimental methods can successfully replicate the results of randomized experiments. WSCs require that the experimental and nonexperimental methods asses
Publikováno v:
Economics of Education Review. 44:100-113
Randomized controlled trials (RCTs) are considered the gold standard in estimating treatment effects. When an RCT is infeasible, regression modeling or statistical matching are often used instead. Nonexperimental methods such as these could produce u
Publikováno v:
Sociological Methodology. 39:151-183
A number of recent studies have used surveys of neighborhood informants and direct observation of city streets to assess aspects of community life such as collective efficacy, the density of kin networks, and social disorder. Raudenbush and Sampson (
Autor:
Margaret B. Hargreaves, Natalya Verbitsky-Savitz, Samantha Penoyer, Michaela Vine, Laura Ruttner, Alena Davidoff-Gore
The Adverse Childhood Experiences (ACEs) Public-Private Initiative (APPI) evaluation is a retrospective mixed-methods study designed to answer a central question: “Can a multifaceted, scalable, community-based empowerment strategy focused on mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::78c8c3f606e5e9d72567c56bc75543a0
https://www.mathematica-mpr.com/-/media/publications/pdfs/family_support/appi_cross_site_evaluation_interim_report_es.pdf
https://www.mathematica-mpr.com/-/media/publications/pdfs/family_support/appi_cross_site_evaluation_interim_report_es.pdf
Autor:
Margaret B. Hargreaves, Natalya Verbitsky-Savitz, Samantha Penoyer, Michaela Vine, Laura Ruttner, Alena Davidoff-Gore
The Adverse Childhood Experiences (ACEs) Public-Private Initiative (APPI) evaluation is a retrospective mixed-methods study designed to answer a central question: “Can a multifaceted, scalable, community-based empowerment strategy focused on mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::e71c4d5121c37cea578d5d75e1ba0104
https://www.mathematica-mpr.com/-/media/publications/pdfs/family_support/appi_cross_site_evaluation_interim_report.pdf
https://www.mathematica-mpr.com/-/media/publications/pdfs/family_support/appi_cross_site_evaluation_interim_report.pdf
Autor:
Brian Gill, Joshua Furgeson, Hanley S. Chiang, Bing-Ru Teh, Joshua Haimson, Natalya Verbitsky-Savitz
Ideally, nonexperimental methods that aim to replicate the results of rigorous randomized experiments focus on the intent to treat (ITT) experimental impact estimate, the most causally rigorous measure. This working paper develops a new replication a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7490a2dbd7437cdd3f71ae1407ca0978
https://www.mathematica-mpr.com/-/media/publications/pdfs/education/crossover_replication_wp.pdf
https://www.mathematica-mpr.com/-/media/publications/pdfs/education/crossover_replication_wp.pdf
Nonexperimental methods, such as regression modeling or statistical matching, produce unbiased estimates if the underlying assumptions hold, but these assumptions are usually not testable. Most studies testing nonexperimental designs find that they f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::495f619ea20759aa35a0d25110ef9093
https://www.mathematica-mpr.com/-/media/publications/pdfs/education/nonexperi_estimators_wp.pdf
https://www.mathematica-mpr.com/-/media/publications/pdfs/education/nonexperi_estimators_wp.pdf