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Chow, Jason C.; Morse, Ashley; Zhao, Hongyang; Kingsbery, Corinne; Murray, Rebecca; Soni, Isha – Remedial and Special Education, 2023
We conducted a systematic literature review examining the participant characteristics of studies of students with emotional disturbance (ED) with the purpose of better understanding potential similarities and differences between students with ED in research and the population of students with ED. Results indicate (a) participants with reported…
Descriptors: Emotional Disturbances, Students with Disabilities, Student Characteristics, Special Education
Shortt, Mitchell; Tilak, Shantanu; Kuznetcova, Irina; Martens, Bethany; Akinkuolie, Babatunde – Computer Assisted Language Learning, 2023
More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…
Descriptors: Gamification, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Heilmann, John; Miller, Jon F. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs) collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research and development over the ensuing decades has culminated into SALT Solutions, a set of tools to assist SLPs to efficiently complete language sample analysis (LSA) with their…
Descriptors: Sampling, Language Usage, Data Analysis, Data Collection
Süleyman Demir; Derya Çobanoglu Aktan; Nese Güler – International Journal of Assessment Tools in Education, 2023
This study has two main purposes. Firstly, to compare the different item selection methods and stopping rules used in Computerized Adaptive Testing (CAT) applications with simulative data generated based on the item parameters of the Vocational Maturity Scale. Secondly, to test the validity of CAT application scores. For the first purpose,…
Descriptors: Computer Assisted Testing, Adaptive Testing, Vocational Maturity, Measures (Individuals)
Lee, Yen-Mei – Interactive Learning Environments, 2023
The study aimed to conduct a systematic literature review to identify the trends, impacts, and challenges of mobile microlearning (MML) research. Using five academic databases from the fields of social science, engineering, and medical science as search sources, 26 scholarly articles, published between 2015 and 2020, were retrieved. The study…
Descriptors: Educational Research, Telecommunications, Handheld Devices, Instructional Effectiveness
Gizem Canbulat; Salih Uzun – Turkish Journal of Education, 2024
This research aimed to determine the trends related to blended learning studies conducted in science education through descriptive content analysis. This study was performed using the document review method. For this purpose, 120 studies on blended learning in science education were determined between 2005 and 2022 in the Web of Science (WoS)…
Descriptors: Blended Learning, Educational Research, Science Education, Research Methodology
Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Bulus, Metin; Dong, Nianbo – Journal of Experimental Education, 2021
Sample size determination in multilevel randomized trials (MRTs) and multilevel regression discontinuity designs (MRDDs) can be complicated due to multilevel structure, monetary restrictions, differing marginal costs per treatment and control units, and range restrictions in sample size at one or more levels. These issues have sparked a set of…
Descriptors: Sampling, Research Methodology, Costs, Research Design
Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A. – Journal of Educational and Behavioral Statistics, 2021
In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…
Descriptors: Learning Analytics, Computer Software, Syntax, Adults
The Ulysses Principle: A Criterial Framework for Reducing Bias When Enlisting the Work of Historians
Møller, Jørgen; Skaaning, Svend-Erik – Sociological Methods & Research, 2021
The historical turn in social science has prompted scholars to engage with the work of historians on a large scale. Here, social scientists face two standard problems of selection bias: confirmation bias and convenience sampling. So far, the record of dealing with these problems has been poor, and little has been done to specify how social…
Descriptors: Historians, Bias, Sampling, Research Problems
Growns, Bethany; Towler, Alice; Dunn, James D.; Salerno, Jessica M.; Schweitzer, N. J.; Dror, Itiel E. – Cognitive Research: Principles and Implications, 2022
Forensic science practitioners compare visual evidence samples (e.g. fingerprints) and decide if they originate from the same person or different people (i.e. fingerprint 'matching'). These tasks are perceptually and cognitively complex--even practising professionals can make errors--and what limited research exists suggests that existing…
Descriptors: Crime, Evidence, Sampling, Statistics Education
Schneider, Daniel; Harknett, Kristen – Sociological Methods & Research, 2022
In this article, we explore the use of Facebook targeted advertisements for the collection of survey data. We illustrate the potential of survey sampling and recruitment on Facebook through the example of building a large employee--employer linked data set as part of The Shift Project. We describe the workflow process of targeting, creating, and…
Descriptors: Social Media, Data Collection, Advertising, National Surveys
Moschion, Julie; Polidano, Cain; Fischer, Daniel – National Centre for Vocational Education Research (NCVER), 2022
The aim of this analysis of data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey is to compare labour market outcomes between individuals who have Vocational Education and Training (VET) qualifications only, VET and Higher Education (HE) qualifications and HE qualifications only, but who work in the same occupations. In…
Descriptors: Vocational Education, Higher Education, Career Pathways, Labor Market
Maag Merki, Katharina; Grob, Urs; Rechsteiner, Beat; Rickenbacher, Ariane; Wullschleger, Andrea – Frontline Learning Research, 2022
Previous findings on the preconditions of teachers' collaboration are inconsistent. This might be related to the research methods used to assess the teachers' collaborative practice. Retrospective assessments by self-report on a relatively general level prevail. The validity of these self-reports is limited, however. In contrast, time-sampling…
Descriptors: Teacher Collaboration, Sampling, Time, Secondary School Teachers
Medway, Rebecca; Scardaville, Melissa; Paek, Chris; Dias, Paula; Kaiser, Ashley; Megra, Mahi; Pulizzi, Scott – National Center for Education Statistics, 2022
These appendices accompany the full report, "National Household Education Surveys Program of 2019: Qualitative Study of Nonresponding Addresses. NCES 2022-043" (ED617187). The full report documents the methods and findings of a qualitative study of nonrespondent addresses to the 2019 administration of the National Household Education…
Descriptors: Educational Attainment, National Surveys, Response Rates (Questionnaires), Mail Surveys