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Public Policy Institute of California, 2021
The PPIC Statewide Survey was inaugurated in 1998 to provide a way for Californians to express their views on important public policy issues. The survey provides timely, relevant, nonpartisan information on Californians' political, social, and economic opinions. It seeks to inform and improve state policymaking, raise awareness, and encourage…
Descriptors: Research Methodology, Research Design, Sample Size, Data Collection
Bitterman, Amy; Lammert, Jill; Moore, Hadley; Schaaf, Jennifer – IDEA Data Center, 2021
This resource provides states with an overview on how to gather representative parent involvement data for State Performance Plan/Annual Performance Report (SPP/APR) Indicator B8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the…
Descriptors: Parent Participation, Data Collection, Annual Reports, Sampling
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
Bohanon, Hank S.; Wu, Meng-Jia – International Journal of Developmental Disabilities, 2020
Including students with disabilities requires schoolwide interventions that are implemented with fidelity (adherence). Collection of fidelity data may become problematic when multiple evidence-based treatments exist in one setting. To address concerns around efficiency of data collection, this study hypothesized that the three sampling approaches…
Descriptors: Inclusion, Students with Disabilities, Program Implementation, Fidelity
Sánchez Sánchez, Ernesto; García Rios, Víctor N.; Silvestre Castro, Eleazar; Licea, Guadalupe Carrasco – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
In this paper, we address the following questions: What misconceptions do high school students exhibit in their first encounter with significance test problems through a repeated sampling approach? Which theory or framework could explain the presence and features of such patterns? With brief prior instruction on the use of Fathom software to…
Descriptors: High School Students, Misconceptions, Statistical Significance, Testing
Yamaguchi, Kazuhiro – Journal of Educational and Behavioral Statistics, 2023
Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…
Descriptors: Bayesian Statistics, Classification, Statistical Inference, Sampling
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
Martin, Michael O.; Mullis, Ina V. S. – Journal of Educational and Behavioral Statistics, 2019
International large-scale assessments of student achievement such as International Association for the Evaluation of Educational Achievement's Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study and Organization for Economic Cooperation and Development's Program for International…
Descriptors: Achievement Tests, International Assessment, Mathematics Tests, Science Achievement
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
Sim, Julius; Saunders, Benjamin; Waterfield, Jackie; Kingstone, Tom – International Journal of Social Research Methodology, 2018
There has been considerable recent interest in methods of determining sample size for qualitative research a priori, rather than through an adaptive approach such as saturation. Extending previous literature in this area, we identify four distinct approaches to determining sample size in this way: rules of thumb, conceptual models, numerical…
Descriptors: Sample Size, Qualitative Research, Research Methodology, Statistical Analysis
Shear, Benjamin R.; Nordstokke, David W.; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2018
This computer simulation study evaluates the robustness of the nonparametric Levene test of equal variances (Nordstokke & Zumbo, 2010) when sampling from populations with unequal (and unknown) means. Testing for population mean differences when population variances are unknown and possibly unequal is often referred to as the Behrens-Fisher…
Descriptors: Nonparametric Statistics, Computer Simulation, Monte Carlo Methods, Sampling
Lu, Ru; Guo, Hongwen; Dorans, Neil J. – ETS Research Report Series, 2021
Two families of analysis methods can be used for differential item functioning (DIF) analysis. One family is DIF analysis based on observed scores, such as the Mantel-Haenszel (MH) and the standardized proportion-correct metric for DIF procedures; the other is analysis based on latent ability, in which the statistic is a measure of departure from…
Descriptors: Robustness (Statistics), Weighted Scores, Test Items, Item Analysis
Salimi, Moh; Dardiri, Achmad; Sujarwo – European Journal of Educational Research, 2021
This study aimed to describe the profile of the students' social skills of Bengawan Solo nature elementary school. The study was qualitatively conducted as a case study. The participants were teachers and students who were chosen by employing a purposive sampling technique. The data were obtained through observations, questionnaires, interviews,…
Descriptors: Profiles, Interpersonal Competence, Sampling, Elementary School Students
Wentzel, Kathryn R. – Educational Psychologist, 2021
In this article, I comment on the potential benefits and limitations of open science reforms for improving the transparency and accountability of research, and enhancing the credibility of research findings within communities of policy and practice. Specifically, I discuss the role of replication and reproducibility of research in promoting better…
Descriptors: Access to Information, Research, Credibility, Replication (Evaluation)