Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ann-Marie Faria"'
Autor:
Christina Weiland, Rebecca Unterman, Susan Dynarski, Rachel Abenavoli, Howard Bloom, Breno Braga, Ann-Marie Faria, Erica Greenberg, Brian Jacob, Jane Arnold Lincove, Karen Manship, Meghan McCormick, Luke Miratrix, Tomás Monarrez, Pamela Morris-Perez, Anna Shapiro, Jon Valant, Lindsay Weixler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ad5c5ea1353b8e49dedc2cbab7dd54
https://doi.org/10.3386/w30970
https://doi.org/10.3386/w30970
Autor:
Christina Weiland, Rebecca Unterman, Susan M. Dynarski, Rachel Abenavoli, Howard S. Bloom, Breno Braga, Ann-Marie Faria, Erica H. Greenberg, Brian A. Jacob, Jane Arnold Lincove, Karen Manship, Meghan McCormick, Luke Miratrix, Tomas Monarrez, Pamela Morris-Perez, Anna Shapiro, Jon Valant, Lindsay Bell Weixler
Publikováno v:
SSRN Electronic Journal.
Autor:
Ann-Marie Faria
Publikováno v:
Proceedings of the 2022 AERA Annual Meeting.
Autor:
Ann-Marie Faria
Publikováno v:
AERA 2022.
Autor:
Ann Marie Faria, Xiaoli Wen, Jon Korfmacher, Rebecca J. Bulotsky-Shearer, Debbie L. Hahs-Vaughn
Publikováno v:
Early Childhood Research Quarterly. 27:627-639
Guided by a developmental and ecological model, the study employed latent profile analysis to identify a multilevel typology of family involvement and Head Start classroom quality. Using the nationally representative Head Start Family and Child Exper
Publikováno v:
Prevention Science in School Settings ISBN: 9781493931545
In a time when schools are experiencing the burden of multiple high-priority initiatives and, in many cases, tight budgets, federal priorities to increase evidence for programs and to promote educationally relevant research are increasing the researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc0668d3509fd464e490221a631097c3
https://doi.org/10.1007/978-1-4939-3155-2_11
https://doi.org/10.1007/978-1-4939-3155-2_11
Autor:
Xiaoli Wen, Ann Marie Faria, Christine M. McWayne, Debbie L. Hahs-Vaughn, Rebecca J. Bulotsky-Shearer
Publikováno v:
Evaluation review. 35(3)
Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased p
Autor:
Christine M. McWayne, Rebecca J. Bulotsky-Shearer, Ann Marie Faria, Debbie L. Hahs-Vaughn, Xiaoli Wen
Publikováno v:
Evaluation review. 35(3)
Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probabilit