2016
DOI: 10.1080/19404476.2016.1252304
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Predicting Middle Level State Standardized Test Results Using Family and Community Demographic Data

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Cited by 17 publications
(8 citation statements)
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“…Shared cognitive models enable administrators to manage various, redundant information caused by complexity by simplifying environmental complexity. In this context, models regarding school categorizations indicate which type or scale of schools to be compared with by determining their positions relative to others (Tienken, Colella, Angelillo, Fox, McCahill, & Wolfe, 2017). On the other hand, it is understood that the relationship between environmental scanning and cognitive models is mutual as data from scanning can be used not only to nurture the current models, but also modify them (Vandenbosch & Higgins, 1996).…”
Section: Discussionmentioning
confidence: 99%
“…Shared cognitive models enable administrators to manage various, redundant information caused by complexity by simplifying environmental complexity. In this context, models regarding school categorizations indicate which type or scale of schools to be compared with by determining their positions relative to others (Tienken, Colella, Angelillo, Fox, McCahill, & Wolfe, 2017). On the other hand, it is understood that the relationship between environmental scanning and cognitive models is mutual as data from scanning can be used not only to nurture the current models, but also modify them (Vandenbosch & Higgins, 1996).…”
Section: Discussionmentioning
confidence: 99%
“…Such a framework shifts the emphasis from reporting positive results (e.g., EE strategies being better than non-EE strategies) to celebrating null effects (i.e., no difference between EE and non-EE strategies). Many readers likely adopt the view that academic measures (e.g., standardized test scores) are poor indicators of student learning that ignore critical factors such as motivation or affective gains (Aydeniz and Southerland, 2012;Tienken et al, 2017). We agree with this view but argue that academic outcomes are clearly a metric of interest to policy makers and funders and are essential to advocate for EE in schools.…”
Section: Introductionmentioning
confidence: 90%
“…More than half a decade has passed since the enactment of ESSA; the school-level accountability system, which uses student test scores from state-mandated standardized tests for identifying schools that need support, was largely established under NCLB waivers authorized during the Obama administrations’ Race to the Top initiative (Tienken et al, 2017 ). ESSA’s policy framework devolves the design and execution of accountability regimes but retains the test-based regime of these previous policies; notably federal mandates for annual and statewide testing and reporting.…”
Section: Essa Policy History: Change or Continuity?mentioning
confidence: 99%