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Showing 1 to 15 of 75 results Save | Export
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Nianbo Dong; Keith Herman; Benjamin Kelcey; Sirui Ren; Wendy Reinke; Jessaca Spybrook – Grantee Submission, 2025
Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…
Descriptors: Causal Models, Statistical Analysis, Context Effect, Intervention
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Qian, Jiahe – ETS Research Report Series, 2020
The finite population correction (FPC) factor is often used to adjust variance estimators for survey data sampled from a finite population without replacement. As a replicated resampling approach, the jackknife approach is usually implemented without the FPC factor incorporated in its variance estimates. A paradigm is proposed to compare the…
Descriptors: Computation, Sampling, Data, Statistical Analysis
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Klingbeil, David A.; Van Norman, Ethan R.; Nelson, Peter M. – Assessment for Effective Intervention, 2021
This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…
Descriptors: Achievement Tests, Grade 6, Grade 7, At Risk Students
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Groth, Randall E. – Journal of Statistics Education, 2019
The Common Core State Standards for Mathematics have a widespread impact on children's statistical learning opportunities. The Grade 6 standards are particularly ambitious in the goals they set. In this critique, experiences helping children work toward the Grade 6 Common Core statistics expectations are used in conjunction with previous research…
Descriptors: Common Core State Standards, Grade 4, Grade 5, Grade 6
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Okurut, Jeje Moses – Journal of Education and Learning, 2018
The impact of automatic promotion practice on students dropping out of Uganda's primary education was assessed using propensity score in difference in differences analysis technique. The analysis strategy was instrumental in addressing the selection bias problem, as well as biases arising from common trends over time, and permanent latent…
Descriptors: Social Promotion, Dropouts, Elementary School Students, Rural Urban Differences
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Sripai, Sunan; Wanawan, Ketkanok – Educational Research and Reviews, 2018
This research aimed to analyze the Latent Group Profile, hereafter (LPA) of good teacher characteristics' in the 21st century in the Northeastern region of Thailand. The samples were 4 groups, viz; 10 expert teachers for interviewing on the draft of the variable to develop the indicators; 12 teachers who won Guru Awards from Teachers Council for…
Descriptors: Profiles, Teacher Characteristics, Classification, Interviews
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Keller, Bryan; Tipton, Elizabeth – Journal of Educational and Behavioral Statistics, 2016
In this article, we review four software packages for implementing propensity score analysis in R: "Matching, MatchIt, PSAgraphics," and "twang." After briefly discussing essential elements for propensity score analysis, we apply each package to a data set from the Early Childhood Longitudinal Study in order to estimate the…
Descriptors: Computer Software, Probability, Statistical Analysis, Longitudinal Studies
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Groth, Randall E.; Butler, Jaime; Nelson, Delmar – Teaching Statistics: An International Journal for Teachers, 2016
Students can struggle to understand and use terms that describe probabilities. Such struggles lead to difficulties comprehending classroom conversations. In this article, we describe some specific misunderstandings a group of students (ages 11-12) held in regard to vocabulary such as "certain", "likely" and…
Descriptors: Statistical Analysis, Statistics, Probability, Misconceptions
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Campbell, Claire; Bond, Trevor – Educational Psychology, 2017
The Goodenough-Harris Drawing Test (GHDT) is a non-verbal assessment designed to infer young children's levels of intellectual development and understanding via the collection of three human figure drawings (HFDs)--one each of a man, a woman and a self-portrait. This paper presents findings from a research project that applied the Rasch model for…
Descriptors: Freehand Drawing, Young Children, Cognitive Development, Human Body
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Chan, Wendy – Journal of Research on Educational Effectiveness, 2017
Recent methods to improve generalizations from nonrandom samples typically invoke assumptions such as the strong ignorability of sample selection, which is challenging to meet in practice. Although researchers acknowledge the difficulty in meeting this assumption, point estimates are still provided and used without considering alternative…
Descriptors: Generalization, Inferences, Probability, Educational Research
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Gifted Child Quarterly, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Poverty, Talent Identification, Low Income Students
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Grantee Submission, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Disadvantaged Schools, Elementary School Students, Elementary Schools
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Herrmann-Abell, Cari F.; DeBoer, George E. – Grantee Submission, 2016
Understanding students' misconceptions and how they change is an essential part of supporting students in their science learning. This paper presents results from distractor-driven multiple-choice assessments that target students' misconceptions about energy. Over 20,000 elementary, middle and high school students from across the U.S. participated…
Descriptors: Item Response Theory, Probability, Elementary School Students, Middle School Students
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Uyanik, Gökhan – Universal Journal of Educational Research, 2016
The aim of this study is to investigate the attitudes of the primary school teacher candidates towards teaching profession and self-efficacy beliefs in teaching science. The research was conducted with a survey model. The sample of the study consisted of 182 teacher candidates who were studying at the 2015-2016 spring term from Kastamonu…
Descriptors: Self Efficacy, Preservice Teachers, Science Instruction, Student Attitudes
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de Aldama, Carlos; Pozo, Juan Ignacio – Electronic Journal of Research in Educational Psychology, 2016
Introduction: Several studies show that one of the essential factors in the way teachers use Information and Communication Technologies (ICT) in their lessons are the beliefs they hold regarding ICT as tools for teaching and learning. This study analyses the relationship between these beliefs and the way teachers use ICT in the classroom through…
Descriptors: Information Technology, Beliefs, Questionnaires, Technology Uses in Education
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