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Direct linkHahs-Vaughn, Debbie L.; McWayne, Christine M.; Bulotsky-Shearer, Rebecca J.; Wen, Xiaoli; Faria, Ann-Marie – Evaluation Review, 2011
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 probability must be addressed when analyzing this type of data. Thus, to ensure that research questions are…
Descriptors: Surveys, Data, Probability, Computer Software
Download full textHeppen, Jessica; Jones, Wehmah; Faria, Ann-Marie; Sawyer, Katherine; Lewis, Sharon; Horwitz, Amanda; Simon, Candace; Uzzell, Renata; Casserly, Michael – Council of the Great City Schools, 2011
A key lever for improvement in instruction and student support is the data that are available in urban districts. A considerable amount of information now exists about students' academic strengths and weaknesses, and the momentum to build and improve data systems is increasing at a rapid pace. In fall 2008, the Council of the Great City Schools…
Descriptors: Academic Achievement, Program Effectiveness, Decision Making, Best Practices
Heppen, Jessica; Faria, Ann-Marie; Thomsen, Kerri; Sawyer, Katherine; Townsend, Monika; Kutner, Melissa; Stachel, Suzanne; Lewis, Sharon; Casserly, Michael – Council of the Great City Schools, 2010
Recent years have seen increased interest in data-driven decision making in education; that is, using various types of data, particularly quantitative assessment data, to inform a range of decisions in schools and classrooms. At the same time, districts, states, and schools have invested resources in tools designed to provide teachers, principals,…
Descriptors: Academic Achievement, Teaching Methods, Decision Making, Hypothesis Testing
Faria, Ann-Marie; Heppen, Jessica; Li, Yibing; Stachel, Suzanne; Jones, Wehmah; Sawyer, Katherine; Thomsen, Kerri; Kutner, Melissa; Miser, David; Lewis, Sharon; Casserly, Michael; Simon, Candace; Uzzell, Renata; Corcoran, Amanda; Palacios, Moses – Council of the Great City Schools, 2012
In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…
Descriptors: Academic Achievement, Evidence, Decision Making, Principals
Faria, Ann-Marie; Heppen, Jessica; Li, Yibing; Stachel, Suzanne; Jones, Wehmah; Sawyer, Katherine; Thomsen, Kerri; Kutner, Melissa; Miser, David; Lewis, Sharon; Casserly, Michael; Simon, Candace; Uzzell, Renata; Corcoran, Amanda; Palacios, Moses – Council of the Great City Schools, 2012
In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…
Descriptors: Academic Achievement, Decision Making, Urban Schools, Instructional Improvement
