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Marks, Peter E. L.; Babcock, Ben; van den Berg, Yvonne H. M.; Cillessen, Antonius H. N. – International Journal of Behavioral Development, 2019
In peer nomination research, individuals who do not provide nominations (nonparticipants) are often included on rosters as potential nominees. This can present ethical questions regarding informed consent, but psychometric consequences of excluding nonparticipants from rosters are unknown. In this investigation, Study 1 simulated both random and…
Descriptors: Peer Groups, Adolescents, Grade 7, Grade 8
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Cui, Yang; Chu, Man-Wai; Chen, Fu – Journal of Educational Data Mining, 2019
Digital game-based assessments generate student process data that is much more difficult to analyze than traditional assessments. The formative nature of game-based assessments permits students, through applying and practicing the targeted knowledge and skills during gameplay, to gain experiences, receive immediate feedback, and as a result,…
Descriptors: Educational Games, Student Evaluation, Data Analysis, Bayesian Statistics
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Stevenson, Nathan A. – Assessment for Effective Intervention, 2017
As a school-wide framework, Multi-Tiered Systems of Support (MTSS) relies on the prevention and early identification of students at risk of academic failure. Approaches to early identification of students in need of support include the administration of universal screening assessments and the analysis of existing student data such as attendance,…
Descriptors: Curriculum Based Assessment, Screening Tests, Comparative Analysis, Middle School Students
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Cohn, Stephen T.; Fraser, Barry J. – Learning Environments Research, 2016
In order to investigate the effectiveness of using Student Response Systems (SRS) among grade 7 and 8 science students in New York, the How Do You Feel About This Class? (HDYFATC) questionnaire was administered to 1097 students (532 students did use SRS and 565 students who did not use SRS). Data analyses attested to the sound factorial validity…
Descriptors: Audience Response Systems, Educational Environment, Attitudes, Achievement
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Halpin, Peter F.; Kieffer, Michael J. – Educational Researcher, 2015
The authors outline the application of latent class analysis (LCA) to classroom observational instruments. LCA offers diagnostic information about teachers' instructional strengths and weaknesses, along with estimates of measurement error for individual teachers, while remaining relatively straightforward to implement and interpret. It is…
Descriptors: Multivariate Analysis, Classroom Observation Techniques, Data Analysis, Error of Measurement
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Halpin, Peter F.; Kieffer, Michael J. – Grantee Submission, 2015
The authors outline the application of latent class analysis (LCA) to classroom observational instruments. LCA offers diagnostic information about teachers' instructional strengths and weaknesses, along with estimates of measurement error for individual teachers, while remaining relatively straightforward to implement and interpret. It is…
Descriptors: Multivariate Analysis, Classroom Observation Techniques, Data Analysis, Error of Measurement
Pearson, 2018
aimswebPlus® is an assessment, data management, and reporting system that provides national and local performance and growth norms for the screening and progress monitoring of math and reading skills for all students in kindergarten through 8th grade. aimswebPlus uses two types of measures: (1) "curriculum-based measures" (CBMs)--brief,…
Descriptors: Management Systems, Data Analysis, Standards, Response to Intervention
Bruce-Simmons, Christine – ProQuest LLC, 2013
This study examined the impact of computer-assisted instruction on the mathematics performance of underachieving fifth-grade students in a rural school district in South Carolina. The instructional technology program ([IF) is South Carolina's response to addressing the needs of its young, struggling math students. The 449 fifth-grade students in…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Mathematics Achievement, Underachievement
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Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
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Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
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Shim, Jenna Min – Curriculum Inquiry, 2012
A major goal of this study was to inquire into and gain an understanding of teachers' emotional responses to cultural differences by investigating how teachers handle stories with intercultural themes. The broader goal was to inquire into teachers' emotional lives that though not necessarily visible to them, nonetheless affect what they perceive…
Descriptors: Foreign Countries, Story Telling, Middle School Teachers, Secondary School Teachers
Auty, Bill; Brockmann, Frank – Council of Chief State School Officers, 2012
School accountability is subject to considerable scrutiny. It generates sharp political debate, policy challenges, and continuous discussion. Growth models are now a part of that discussion. To many practitioners the sheer volume of "important to know" information is daunting. The members of the Technical Issues in Large Scale Assessment…
Descriptors: Federal Legislation, Federal Programs, Measurement, Elementary Schools
Pardos, Zachary A.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…
Descriptors: Data Analysis, Bayesian Statistics, Statistical Analysis, Problem Sets
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Thuneberg, Helena; Hotulainen, Risto – High Ability Studies, 2006
This article explores applications of the Self-Organizing Maps method (SOM) to psycho-educational data. The study examines the psychological well-being, self-regulatory and motivational styles of pupils at elementary and middle school (N = 795). The presentation of the method appears in cases which are related to general education, special needs…
Descriptors: Well Being, Student Motivation, General Education, Special Needs Students