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Omar Abu-Ghalyoun; Adnan Al-Abed – Teaching Statistics: An International Journal for Teachers, 2024
This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…
Descriptors: Preservice Teachers, Middle School Teachers, Teacher Characteristics, Knowledge Level
Marianne van Dijke-Droogers; Paul Drijvers; Arthur Bakker – Mathematics Education Research Journal, 2025
In our data-driven society, it is essential for students to become statistically literate. A core domain within Statistical Literacy is Statistical Inference, the ability to draw inferences from sample data. Acquiring and applying inferences is difficult for students and, therefore, usually not included in the pre-10th-grade curriculum. However,…
Descriptors: Statistical Inference, Learning Trajectories, Grade 9, High School Students
Karina C. White; Melanie Manion; Timothy M. Evans – American Biology Teacher, 2024
Access to authentic research is limited at the 7-12 science education level. At the same time, many local restoration projects would benefit from, but don't have access to a long-term system of monitoring. This project seeks to unite those two needs by developing a protocol for 7-12 classrooms to be able to participate in authentic research…
Descriptors: Student Research, Scientific Research, Junior High School Students, Foreign Countries
Yao, Lili; Haberman, Shelby; McCaffrey, Daniel F.; Lockwood, J. R. – ETS Research Report Series, 2020
Minimum discriminant information adjustment (MDIA), an approach to weighting samples to conform to known population information, provides a generalization of raking and poststratification. In the case of simple random sampling with replacement with uniform sampling weights, large-sample properties are available for MDIA estimates of population…
Descriptors: Discriminant Analysis, Sampling, Sample Size, Scores
Richlen, Mindy L.; Curran, Mary Carla; Chadwick, Christina; Hubbard, Katherine A. – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
The Earth's oceans are home to a diverse array of life, from large marine mammals to microscopic organisms. Among the most important are the marine phytoplankton, which comprise the basis of marine food webs, and also produce a large percentage of the Earth's oxygen through photosynthesis. Although the vast majority of phytoplankton are essential…
Descriptors: Oceanography, Science Activities, Marine Biology, Marine Education
Juuti, Kalle; Loukomies, Anni; Lavonen, Jari – International Journal of Science and Mathematics Education, 2020
Previous research has shown that dialogic teacher talk not only supports students' understanding but also raises their interest. However, there is little, if any, research on the connection between dialogic talk and student interest in classroom situations. To investigate this connection, we collected video observations and experience sampling…
Descriptors: Middle School Students, Classroom Communication, Student Interests, Video Technology
Ruiz Reyes, Karen; Contreras Garcia, Jose Miguel – Statistics Education Research Journal, 2021
In statistical inference, importance of sampling is recognized as one of its key concepts, which has allowed its incorporation internationally in different curricular guidelines and specifically in the Chilean curriculum, since the first notions of sampling are introduced in 7th Grade. This paper presents an analysis of the responses to an…
Descriptors: Sampling, Secondary School Students, Statistical Inference, Foreign Countries
Dennis, Minyi Shih; Sorrells, Audrey M.; Chovanes, Jacquelyn; Kiru, Elisheba W. – Learning Disability Quarterly, 2022
This meta-analysis examined the ecological and population validity of intervention research for students with low mathematics achievement (SWLMA). Forty-four studies published between 2005 and 2019 that met the inclusionary criterion were included in this analysis. Our findings suggest, to improve the external validity and generalizability of…
Descriptors: Mathematics Achievement, Low Achievement, Intervention, Meta Analysis
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
Alexander Alperin; Linda A. Reddy; Todd A. Glover; Briana Bronstein; Nicole B. Wiggs; Christopher M. Dudek – School Psychology Review, 2023
This is the first systematic review of the school outcome literature for behavior interventions used with middle school students exhibiting disruptive behaviors. A total of 51 investigations (published between 2000 and 2020) including 6,498 students and 264 implementers were coded on four dimensions (i.e., sample, interventions, methodology, and…
Descriptors: Middle School Students, Student Behavior, Behavior Problems, Intervention
Jiang, Yu; Zhang, Jiahui; Xin, Tao – Journal of Educational and Behavioral Statistics, 2019
This article is an overview of the National Assessment of Education Quality (NAEQ) of China in reading, mathematics, sciences, arts, physical education, and moral education at Grades 4 and 8. After a review of the background and history of NAEQ, we present the assessment framework with students' holistic development at the core and the design for…
Descriptors: Foreign Countries, Educational Quality, Educational Improvement, National Competency Tests
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Kara, Hakan; Cetin, Sevda – International Journal of Assessment Tools in Education, 2020
In this study, the efficiency of various random sampling methods to reduce the number of items rated by judges in an Angoff standard-setting study was examined and the methods were compared with each other. Firstly, the full-length test was formed by combining Placement Test 2012 and 2013 mathematics subsets. After then, simple random sampling…
Descriptors: Cutting Scores, Standard Setting (Scoring), Sampling, Error of Measurement
Tipton, Elizabeth; Spybrook, Jessaca; Fitzgerald, Kaitlyn G.; Wang, Qian; Davidson, Caryn – Educational Researcher, 2021
As a result of the evidence-based decision-making movement, the number of randomized trials evaluating educational programs and curricula has increased dramatically over the past 20 years. Policy makers and practitioners are encouraged to use the results of these trials to inform their decision making in schools and school districts. At the same…
Descriptors: Randomized Controlled Trials, Educational Research, Institutional Characteristics, Participant Characteristics
van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – Mathematical Thinking and Learning: An International Journal, 2020
While various studies suggest that informal statistical inference (ISI) can be developed by young students, more research is needed to translate this claim into a well-founded learning trajectory (LT). As a contribution, this paper presents the results of a cycle of design research that focuses on the design, implementation, and evaluation of the…
Descriptors: Statistical Inference, Grade 9, Sampling, Statistical Distributions