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Direct linkShen, Zuchao; Kelcey, Benjamin – Journal of Educational and Behavioral Statistics, 2020
Conventional optimal design frameworks consider a narrow range of sampling cost structures that thereby constrict their capacity to identify the most powerful and efficient designs. We relax several constraints of previous optimal design frameworks by allowing for variable sampling costs in cluster-randomized trials. The proposed framework…
Descriptors: Sampling, Research Design, Randomized Controlled Trials, Statistical Analysis
Download full textQu, Wen; Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2020
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…
Descriptors: Social Science Research, Multivariate Analysis, Statistical Distributions, Monte Carlo Methods
Seyda Ince Sezer; Mehmet Diyaddin Yasar – Science Insights Education Frontiers, 2024
The purpose of this research is to identify the situation through content analysis of scale development studies conducted by Turkish researchers in the field of preschool education. Thus, the overall trend of scale development research in preschool education was established. This research is a document analysis study. The documents studied are…
Descriptors: Foreign Countries, Preschool Education, Preschool Teachers, Measures (Individuals)
Trafimow, David; Wang, Tonghui; Wang, Cong – Educational and Psychological Measurement, 2019
Two recent publications in "Educational and Psychological Measurement" advocated that researchers consider using the a priori procedure. According to this procedure, the researcher specifies, prior to data collection, how close she wishes her sample mean(s) to be to the corresponding population mean(s), and the desired probability of…
Descriptors: Statistical Distributions, Sample Size, Equations (Mathematics), Statistical Analysis
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
Acar, Tülin – International Journal of Assessment Tools in Education, 2019
The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS…
Descriptors: Sample Size, Computer Software, Probability, Statistical Analysis
Qu, Wen; Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2020
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…
Descriptors: Social Science Research, Statistical Distributions, Multivariate Analysis, Monte Carlo Methods
Zorluoglu, Seraceddin Levent; Yalçinkaya Önder, Eylem; Timur, Betül; Timur, Serkan; Güvenç, Elif; Özergun, Ilgim; Özdemir, Muzaffer – Journal of Baltic Science Education, 2022
Science education focuses on the methods of thinking about and using process skills rather than memorizing scientific facts. 5E educational model aims to learn by discovering scientific knowledge and engaging students in learning environments. The aim of this study was to examine the articles in the field of education related to the 5E educational…
Descriptors: Science Process Skills, Models, Science Instruction, Teaching Methods
Goodman, Joshua T.; Dallas, Andrew D.; Fan, Fen – Applied Measurement in Education, 2020
Recent research has suggested that re-setting the standard for each administration of a small sample examination, in addition to the high cost, does not adequately maintain similar performance expectations year after year. Small-sample equating methods have shown promise with samples between 20 and 30. For groups that have fewer than 20 students,…
Descriptors: Equated Scores, Sample Size, Sampling, Weighted Scores
Blaikie, Norman – International Journal of Social Research Methodology, 2018
The debate on determining sample size in qualitative research is confounded by four fundamental methodological issues: the exclusive focus on theme analysis; the diverse and imprecise use of 'qualitative'; a reliance on only two logics of inquiry, "induction" and "deduction," and the occasional confusion of…
Descriptors: Sampling, Sample Size, Qualitative Research, Research Methodology
Liang, Xinya; Kamata, Akihito; Li, Ji – Educational and Psychological Measurement, 2020
One important issue in Bayesian estimation is the determination of an effective informative prior. In hierarchical Bayes models, the uncertainty of hyperparameters in a prior can be further modeled via their own priors, namely, hyper priors. This study introduces a framework to construct hyper priors for both the mean and the variance…
Descriptors: Bayesian Statistics, Randomized Controlled Trials, Effect Size, Sampling
Tosun, Cemal – International Journal of Disability, Development and Education, 2022
The aim of this study was to reveal trends of articles related to science education for special education students published in the SSCI journals. For bibliometric analysis, "Education & Educational Research" and "Education Specific" categories and SSCI journals were selected in WoS database and a total of 193 articles were…
Descriptors: Bibliometrics, Science Education, Special Education, Students with Disabilities
Imamoglu, Mehmet; Erbas, Cagdas; Dikmen, Cemal Hakan – Online Submission, 2022
The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education"…
Descriptors: Trend Analysis, Educational Trends, Simulated Environment, Physical Education
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
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
