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No Child Left Behind Act 20011
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Showing 1 to 15 of 35 results Save | Export
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Klingbeil, David A.; Osman, David J.; Van Norman, Ethan R.; Berry-Corie, Kimberly; Kim, Jessica S.; Schmitt, Madeline C.; Latham, Alexander D. – Reading & Writing Quarterly, 2023
Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…
Descriptors: Screening Tests, Reading Tests, Middle School Students, Identification
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Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
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Muttaqin, Haniful; Putri, Ratu Ilma Indra; Somakim – Journal on Mathematics Education, 2017
This research was motivated by several studies which show that students have difficulties in understanding the material ratio, wherein one contributing factor is the lack of ability in proportional reasoning. The purpose of this study is to produce a trajectory of learning to help students develop abilities in comparison reasoning. Solution…
Descriptors: Mathematics Instruction, Mathematical Concepts, Grade 7, Graphs
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Garcia-Mila, Merce; Marti, Eduard; Gilabert, Sandra; Castells, Marina – Mathematical Thinking and Learning: An International Journal, 2014
Studies that consider the displays that students create to organize data are not common in the literature. This article compares fifth through eighth graders' difficulties with the creation of bar graphs using either raw data (Study 1, n = 155) or a provided table (Study 2, n = 152). Data in Study 1 showed statistical differences for the type of…
Descriptors: Graphs, Problems, Data Interpretation, Comparative Analysis
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Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
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Adelson, Jill L.; Dickinson, Emily R.; Cunningham, Brittany C. – Educational Researcher, 2016
This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…
Descriptors: Reading Achievement, Achievement Gap, School Districts, Institutional Characteristics
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Thurlow, Martha L.; Wu, Yi-Chen; Lazarus, Sheryl S.; Ysseldyke, James E. – Exceptionality, 2016
Federal regulations indicate that the achievement gap must be closed between subgroups, including the gap between special education and non-special education students. We explored the ways in which achievement trends are influenced by three methods of reporting (cross-sectional, cohort-static, and cohort-dynamic). We also investigated (a) the ways…
Descriptors: Special Education, Achievement Gap, Mathematics Achievement, Change
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Lau, Kit-Ling – Journal of Educational Research, 2017
Building on previous listening strategy research, the author aimed to explore the differences between Chinese high-proficiency listeners (HLs) and low-proficiency listeners (LLs) on their strategy use, problems, and motivation in native language (L1) listening. It involved 1,290 Grade 7 and 1,515 Grade 9 students. Both quantitative and qualitative…
Descriptors: Foreign Countries, Secondary School Students, Grade 7, Grade 9
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Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica – Society for Research on Educational Effectiveness, 2014
Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…
Descriptors: Data Analysis, Academic Achievement, Urban Schools, Correlation
Herman, Rebecca; Huberman, Mette – Society for Research on Educational Effectiveness, 2012
The TALPS study aims to build on the existing research base to develop promising methodologies to identify chronically low-performing and turnaround schools, as well as to identify promising strategies for turning around chronically low-performing schools. By looking specifically at schools identified as turnaround, in comparison to nonturnaround…
Descriptors: Policy Analysis, Educational Practices, Instructional Leadership, Accountability
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Fortson, Kenneth; Verbitsky-Savitz, Natalya; Kopa, Emma; Gleason, Philip – National Center for Education Evaluation and Regional Assistance, 2012
Randomized controlled trials (RCTs) are widely considered to be the gold standard in evaluating the impacts of a social program. When an RCT is infeasible, researchers often estimate program impacts by comparing outcomes of program participants with those of a nonexperimental comparison group, adjusting for observable differences between the two…
Descriptors: Charter Schools, Middle School Students, Educational Research, Research Design
Guindon, John R., Sr. – ProQuest LLC, 2014
This quantitative causal comparative study looked to see if there was a relationship between childhood obesity and student achievement. Because of the many conflicting results in the research available, it was not known if there was a relationship between childhood obesity and student achievement among inner-city middle school students in a school…
Descriptors: Children, Obesity, Academic Achievement, Comparative Analysis
Scranton, Melissa Arnold – ProQuest LLC, 2013
The purpose of this study was to gain a better understanding of how students think in a technological environment. This was accomplished by exploring the differences in the thinking of students while they worked in a technological environment and comparing this to their work in a paper and pencil environment. The software program TinkerPlots:…
Descriptors: Middle School Students, Comparative Analysis, Computer Software, Data Analysis
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Gottschall, Amanda C.; West, Stephen G.; Enders, Craig K. – Multivariate Behavioral Research, 2012
Behavioral science researchers routinely use scale scores that sum or average a set of questionnaire items to address their substantive questions. A researcher applying multiple imputation to incomplete questionnaire data can either impute the incomplete items prior to computing scale scores or impute the scale scores directly from other scale…
Descriptors: Questionnaires, Data Analysis, Computation, Monte Carlo Methods
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What Works Clearinghouse, 2010
The study examined the effect of charter school attendance on annual student achievement growth in math and reading. The research described in this report is consistent with WWC evidence standards with reservations. Strengths: The study matched charter school students to similar students in traditional public schools using demographic and academic…
Descriptors: Institutional Characteristics, Mathematics Achievement, Reading Achievement, Charter Schools
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