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Patton, Jeffrey M.; Cheng, Ying; Hong, Maxwell; Diao, Qi – Journal of Educational and Behavioral Statistics, 2019
In psychological and survey research, the prevalence and serious consequences of careless responses from unmotivated participants are well known. In this study, we propose to iteratively detect careless responders and cleanse the data by removing their responses. The careless responders are detected using person-fit statistics. In two simulation…
Descriptors: Test Items, Response Style (Tests), Identification, Computation
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Walters, Glenn D. – International Journal of Social Research Methodology, 2019
Identifying mediators in variable chains as part of a causal mediation analysis can shed light on issues of causation, assessment, and intervention. However, coefficients and effect sizes in a causal mediation analysis are nearly always small. This can lead those less familiar with the approach to reject the results of causal mediation analysis.…
Descriptors: Effect Size, Statistical Analysis, Sampling, Statistical Inference
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Stevens, John W.; Fletcher, Christine; Downey, Gerald; Sutton, Anthea – Research Synthesis Methods, 2018
A network meta-analysis allows a simultaneous comparison between treatments evaluated in randomised controlled trials that share at least one treatment with at least one other study. Estimates of treatment effects may be required for treatments across disconnected networks of evidence, which requires a different statistical approach and modelling…
Descriptors: Meta Analysis, Network Analysis, Comparative Analysis, Outcomes of Treatment
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Roth, Wolff-Michael – Journal of Curriculum Studies, 2018
The crisis of education frequently is framed in terms of methods, where quantitative research is accused of making the subject invisible through quantification, whereas qualitative research is credited for the emphasis on subjectivity and the discursive construction of reality. Such formulations fail to take into account a long-standing critique…
Descriptors: Educational Research, Research Methodology, Sampling, Educational Theories
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Doehler, Kirsten – Statistics Education Research Journal, 2018
This paper explores the implementation of service-learning projects in a survey sampling statistics course. In these projects, students worked with a community partner to develop and administer a survey, analyze the data collected, and present the results. A study with 23 participants was conducted to investigate whether students' attitudes…
Descriptors: Service Learning, Statistics, Statistical Surveys, Sampling
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Abascal, Elena; Díaz De Rada, Vidal; García Lautre, Ignacio; Landaluce, M. Isabel – International Journal of Social Research Methodology, 2018
In the field of social sciences, certain tasks, such as the identification of typologies and the characterization of groups of individuals according to a set of questions, tend to pose a challenge for researchers. Further complications arise if the chosen rating scale is from 0 to 10, since the responses can be treated either as metric or…
Descriptors: Social Science Research, Research Problems, Rating Scales, Factor Analysis
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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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Yazar, Taha; Tutal, Özgür – Dinamika Ilmu, 2020
In recent years there has been a large increase in the number of research that deal with values education in Turkey. There are several reviews to determine the trends of these studies. However, these reviews were mostly limited to theses, dissertations and proceedings, and it is necessary to review articles on values education. The data of the…
Descriptors: Educational Trends, Values Education, Educational Research, Content Analysis
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Moeller, Julia; Viljaranta, Jaana; Kracke, Bärbel; Dietrich, Julia – Frontline Learning Research, 2020
This article proposes a study design developed to disentangle the objective characteristics of a learning situation from individuals' subjective perceptions of that situation. The term objective characteristics refers to the agreement across students, whereas subjective perceptions refers to inter-individual heterogeneity. We describe a novel…
Descriptors: Student Attitudes, College Students, Lecture Method, Student Interests
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Steed, Elizabeth A.; Kranski, Tessa A. – Topics in Early Childhood Special Education, 2020
Intervention studies to reduce challenging behavior in young children below the age of 6 were reviewed for participant characteristics, including gender, race/ethnicity, disability, socioeconomic status, and language to evaluate the frequency of reporting and diversity of participant characteristics in this area of research. Interventions…
Descriptors: Intervention, Young Children, Behavior Problems, Gender Differences
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Hallberg, Kelly; Williams, Ryan; Swanlund, Andrew – Journal of Research on Educational Effectiveness, 2020
More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…
Descriptors: Data Use, Research Methodology, Program Effectiveness, Design
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Schermer, Maike; Fosker, Tim – International Journal of Research & Method in Education, 2020
Arguably one of the most valuable tools for investigating pupil behaviour in an educational environment is systematic classroom observation. Classroom observation is often cited as having the potential to enable research of the learning process in action. Low inference classroom observation instruments are designed to record a sequence of data…
Descriptors: Classroom Observation Techniques, Learning Processes, Intervals, Individual Differences
Opper, Isaac M. – RAND Corporation, 2020
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not induce small-sample bias…
Descriptors: Artificial Intelligence, Man Machine Systems, Educational Technology, Technology Uses in Education
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Maxwell, Bronwen; Stevens, Anna; Demack, Sean; Coldwell, Mike; Wolstenholme, Claire; Reaney-Wood, Sarah; Stiell, Bernadette; Lortie-Forgues, Hugues – Education Endowment Foundation, 2021
The Education Endowment Foundation (EEF)'s mission is to break the link between family income and educational achievement. This is achieved through summarising the best available evidence in plain language, generating new evidence of 'what works' to improve teaching and learning, and supporting teachers and school leaders to use research evidence…
Descriptors: Foreign Countries, Disadvantaged Youth, Elementary School Students, Secondary School Students
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Hamzah, Nurjailam; Maat, Siti Mistima; Ikhsan, Zanaton – Pegem Journal of Education and Instruction, 2023
The rapid development in the world of technology and communication has contributed directly to the teaching and learning process in schools. Therefore, a paradigm shift towards learning methods in the education system needs to be implemented to meet the educational aims of the 21st century. This is due to the current methods of delivery in…
Descriptors: Needs Assessment, Computer Oriented Programs, Mathematics Education, Trigonometry
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