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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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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
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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
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Kopp, Jason P.; Jones, Andrew T. – Applied Measurement in Education, 2020
Traditional psychometric guidelines suggest that at least several hundred respondents are needed to obtain accurate parameter estimates under the Rasch model. However, recent research indicates that Rasch equating results in accurate parameter estimates with sample sizes as small as 25. Item parameter drift under the Rasch model has been…
Descriptors: Item Response Theory, Psychometrics, Sample Size, Sampling
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Sim, Julius; Saunders, Benjamin; Waterfield, Jackie; Kingstone, Tom – International Journal of Social Research Methodology, 2018
In his detailed response to our paper on sample size in qualitative research, Norman Blaikie raises important issues concerning conceptual definitions and taxonomy. In particular, he points out the problems associated with a loose, generic application of adjectives such as 'qualitative' or 'inductive'. We endorse this concern, though we suggest…
Descriptors: Sample Size, Sampling, Qualitative Research, Research Methodology
Bramley, Tom – Research Matters, 2020
The aim of this study was to compare, by simulation, the accuracy of mapping a cut-score from one test to another by expert judgement (using the Angoff method) versus the accuracy with a small-sample equating method (chained linear equating). As expected, the standard-setting method resulted in more accurate equating when we assumed a higher level…
Descriptors: Cutting Scores, Standard Setting (Scoring), Equated Scores, Accuracy
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Batanero, Carmen; Begué, Nuria; Borovcnik, Manfred; Gea, María M. – Statistics Education Research Journal, 2020
In Spain, curricular guidelines as well as the university-entrance tests for social-science high-school students (17-18 years old) include sampling distributions. To analyse the understanding of this concept we investigated a sample of 234 students. We administered a questionnaire to them and ask half for justifications of their answers. The…
Descriptors: High School Students, Adolescents, Statistics Education, Sampling
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Pazzaglia, Angela M.; Stafford, Erin T.; Rodriguez, Sheila M. – Regional Educational Laboratory Northeast & Islands, 2016
This guide describes a five-step collaborative process that educators can use with other educators, researchers, and content experts to write or adapt questions and develop surveys for education contexts. This process allows educators to leverage the expertise of individuals within and outside of their organization to ensure a high-quality survey…
Descriptors: Surveys, Sampling, Testing, Sample Size
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Kara, Nuri – Contemporary Educational Technology, 2021
The aim of this study was to conduct a systematic literature review on the use of serious games in science education between 2016 and 2020 years. A total of 39 articles were included from Science Citation Index-Expanded (SCI-Expanded), Social Science Citation Index (SSCI), Arts & Humanities Citation Index (A&HCI) and Emerging Sources…
Descriptors: Science Education, Educational Games, Teaching Methods, Science Achievement
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Finch, W. Holmes; Finch, Maria Hernández – Journal of Experimental Education, 2018
Single subject (SS) designs are popular in educational and psychological research. There exist several statistical techniques designed to analyze such data and to address the question of whether an intervention has the desired impact. Recently, researchers have suggested that generalized additive models (GAMs) might be useful for modeling…
Descriptors: Educational Research, Longitudinal Studies, Simulation, Models
Makela, Susanna; Si, Yajuan; Gelman, Andrew – Grantee Submission, 2018
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to…
Descriptors: Bayesian Statistics, Statistical Inference, Sampling, Probability
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Madaus, Joseph W.; Dukes, Lyman L., III; Lalor, Adam R.; Aquino, Katherine; Faggella-Luby, Michael; Newman, Lynn A.; Papay, Clare; Petcu, Stefania; Scott, Sally; Wessel, Roger D. – Journal of Postsecondary Education and Disability, 2020
The body of research in the field of postsecondary education and disability is wide ranging and continues to evolve. Specifically, the literature corpus includes contributions from a range of professions and a considerable number of journals. This breadth of diversity in perspective presents significant advantages; however, it also presents…
Descriptors: Postsecondary Education, Educational Research, Guidelines, Students with Disabilities
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Diao, Hongyu; Keller, Lisa – Applied Measurement in Education, 2020
Examinees who attempt the same test multiple times are often referred to as "repeaters." Previous studies suggested that repeaters should be excluded from the total sample before equating because repeater groups are distinguishable from non-repeater groups. In addition, repeaters might memorize anchor items, causing item drift under a…
Descriptors: Licensing Examinations (Professions), College Entrance Examinations, Repetition, Testing Problems
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White, Simon R.; Bonnett, Laura J. – Teaching Statistics: An International Journal for Teachers, 2019
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling.
Descriptors: Statistical Bias, Sampling, Statistical Analysis, Learning Activities
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Knudson, Duane – International Journal of Kinesiology in Higher Education, 2017
This study documented the changes in authorship, sampling, and number of references used in studies published in the "Research Quarterly for Exercise and Sport" ("RQES") from 1996 to 2015. Original research articles were reviewed, excluding reviews, technical notes, and commentary (n = 770). Data were analyzed in 10 biennial…
Descriptors: Research Reports, Authors, Sampling, Citations (References)
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