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Domina, Thurston; Pharris-Ciurej, Nikolas; Penner, Andrew M.; Penner, Emily K.; Brummet, Quentin; Porter, Sonya R.; Sanabria, Tanya – Educational Researcher, 2018
Students in the United States whose household income is less than 130% of the poverty line qualify for free lunch, and students whose household income is between 130% and 185% of the poverty line qualify for reduced-price lunch. Education researchers and policymakers often use free and reduced-price lunch (FRPL) status to measure socioeconomic…
Descriptors: Lunch Programs, Educationally Disadvantaged, Low Income Students, Economically Disadvantaged
Kontas, Hakki; Ă–zpolat, Esen Turan – International Journal of Evaluation and Research in Education, 2017
The purpose of this study was to investigate exam scores' predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear…
Descriptors: Scores, Prediction, Predictive Validity, School Readiness
Johnson, Ursula Y.; Hull, Darrell M. – Journal of Educational Research, 2014
The authors examined science achievement growth at Grades 3, 5, and 8 and parent school involvement at the same time points using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999. Data were analyzed using cross-classified multilevel latent growth curve modeling with time invariant and varying covariates. School-based…
Descriptors: Science Achievement, Parent Participation, Grade 3, Grade 5
Kettler, Ryan J.; Elliott, Stephen N.; Kurz, Alexander; Zigmond, Naomi; Lemons, Christopher J.; Kloo, Amanda; Shrago, Jacqueline; Beddow, Peter A.; Williams, Leila; Bruen, Charles; Lupp, Lynda; Farmer, Jeanie; Mosiman, Melanie – Assessment for Effective Intervention, 2014
Motivated by the multiple-measures clause of recent federal policy regarding student eligibility for alternate assessments based on modified academic achievement standards (AA-MASs), this study examined how scores or combinations of scores from a diverse set of assessments predicted students' end-of-year proficiency status on statewide achievement…
Descriptors: Eligibility, Alternative Assessment, Academic Achievement, Predictive Validity
LaVenia, Mark; Pineau, Kristina N.; Lang, Laura B. – Society for Research on Educational Effectiveness, 2010
This study investigates the predictive validity of students' levels of critical thinking disposition, as measured by the California Measure of Mental Motivation (CM3; Giancarlo, Blohm, & Urdan, 2004) for students' math achievement, as measured by the Mathematics assessment included in the Florida Comprehensive Assessment Test (FCAT). The CM3…
Descriptors: Advanced Students, Magnet Schools, Predictive Validity, Integrity
Vickers, Heather; Pate, James L.; Brockmeier, Lantry L.; Green, Robert B.; Tsemunhu, Rudo – International Journal of Educational Leadership Preparation, 2014
This nonexperimental survey research investigated whether enrollment, location, expenditures, percentage of free and reduced lunch and percentage of minority students influenced Georgia's superintendent and board chairperson satisfaction. In addition, this study investigated whether respondents' satisfaction could predict student achievement.…
Descriptors: Governance, Boards of Education, Board of Education Policy, Superintendents
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Nekulak, Tracey A. – ProQuest LLC, 2009
The main purpose of this researcher was to examine how well the New York State Mathematics Assessment in Grade 8 predicted success in high school mathematics programs at the Regents and Accelerated levels as measured by the New York State Regents' Math A and B examinations. These exams are statewide and are governed by the New York State…
Descriptors: High Schools, Predictive Validity, Program Effectiveness, Data Analysis

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