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Debelak, Rudolf; Strobl, Carolin – Educational and Psychological Measurement, 2019
M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter. The Type I error rate and…
Descriptors: Test Bias, Item Response Theory, Statistical Analysis, Maximum Likelihood Statistics
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Qiu, Yuxi; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2019
This study aimed to assess the accuracy of the empirical item characteristic curve (EICC) preequating method given the presence of test speededness. The simulation design of this study considered the proportion of speededness, speededness point, speededness rate, proportion of missing on speeded items, sample size, and test length. After crossing…
Descriptors: Accuracy, Equated Scores, Test Items, Nonparametric Statistics
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Flake, Jessica Kay; Petway, Kevin Terrance, II – Educational Measurement: Issues and Practice, 2019
Numerous studies merely note divergence in students' and teachers' ratings of student noncognitive constructs. However, given the increased attention and use of these constructs in educational research and practice, an in-depth study focused on this issue was needed. Using a variety of quantitative methodologies, we thoroughly investigate…
Descriptors: Teachers, Students, Achievement Rating, Interrater Reliability
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Margulieux, Lauren; Ketenci, Tuba Ayer; Decker, Adrienne – Computer Science Education, 2019
Background and context: The variables that researchers measure and how they measure them are central in any area of research, including computing education. Which research questions can be asked and how they are answered depends on measurement. Objective: To summarize the commonly used variables and measurements in computing education and to…
Descriptors: Measurement Techniques, Standards, Evaluation Methods, Computer Science Education
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Walter, Maggie; Suina, Michele – International Journal of Social Research Methodology, 2019
The field of Indigenous methodologies has grown strongly since Tuhiwai Smith's 1999 groundbreaking book "Decolonizing Indigenous Methodologies." For the most part however, there has been a marked absence of quantitative methodologies with the methods aligned with Indigenous methodologies predominantly qualitative. This article proposes…
Descriptors: Indigenous Knowledge, Data Analysis, Qualitative Research, Books
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Crawford, Claire E. – Journal of Education Policy, 2019
This paper challenges the notion that quantitative data -- as a numeric truth -- exist independent of a nation's political and racial landscape. Utilising large-scale national attainment data, the analysis challenges the belief that 'White working class' children in England, especially boys, are 'the new oppressed' -- as a former equality adviser…
Descriptors: Critical Theory, Race, Whites, Working Class
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Seah, Wee Tiong; Wong, Ngai-Ying – Online Submission, 2019
This paper discusses some of the recurrent issues which the authors have noticed in educational research. These might be concerned with the nature of social science research, such as its representation of the reality of student learning, the role for replication studies, and the tolerance for disagreements. There are also issues related to the…
Descriptors: Educational Research, Research Problems, Mixed Methods Research, Qualitative Research
Creswell, John W.; Guetterman, Timothy C. – Pearson, 2019
"Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research" offers a truly balanced, inclusive, and integrated overview of the processes involved in educational research. This text first examines the general steps in the research process and then details the procedures for conducting specific types…
Descriptors: Educational Research, Statistical Analysis, Qualitative Research, Research Design
Leedy, Paul D.; Ormrod, Jeanne Ellis – Pearson, 2019
An engaging, cross-disciplinary guide to research methodology "Practical Research: Planning and Design" is a do-it-yourself, how-to manual for planning and conducting research. Suitable for a wide variety of courses in basic research methodology, the book uses a conversational tone, step-by-step instructions, and practical suggestions to…
Descriptors: Research Methodology, Planning, Research Reports, Research Design
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James, David; Schraw, Gregory; Kuch, Fred – Assessment & Evaluation in Higher Education, 2019
We proposed an extended form of the Govindarajulu and Barnett margin of error (MOE) equation and used it with an analysis of variance experimental design to examine the effects of aggregating student evaluations of teaching (SET) ratings on the MOE statistic. The interpretative validity of SET ratings can be questioned when the number of students…
Descriptors: Student Evaluation of Teacher Performance, Statistical Analysis, Validity, Computation
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Vaheoja, Monika; Verhelst, N. D.; Eggen, T.J.H.M. – European Journal of Science and Mathematics Education, 2019
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…
Descriptors: Feedback (Response), Foreign Countries, Statistical Analysis, Scores
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Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Scientists in the speech, language, and hearing sciences rely on statistical analyses to help reveal complex relationships and patterns in the data collected from their research studies. However, data from studies in the fields of communication sciences and disorders rarely conform to the underlying assumptions of many traditional…
Descriptors: Speech Language Pathology, Data Collection, Interpersonal Communication, Communication Problems
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Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Clinicians depend on the accuracy of research in the speech, language, and hearing sciences to improve assessment and treatment of patients with communication disorders. Although this work has contributed to great advances in clinical care, common statistical misconceptions remain, which deserve closer inspection in the field. Challenges…
Descriptors: Statistics, Speech Language Pathology, Research, Statistical Analysis
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Yang, Shitao; Black, Ken – Teaching Statistics: An International Journal for Teachers, 2019
Summary Employing a Wald confidence interval to test hypotheses about population proportions could lead to an increase in Type I or Type II errors unless the hypothesized value, p0, is used in computing its standard error rather than the sample proportion. Whereas the Wald confidence interval to estimate a population proportion uses the sample…
Descriptors: Error Patterns, Evaluation Methods, Error of Measurement, Measurement Techniques
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Casas-Rosal, José Carlos; Caridad y Ocerín, José María; Núñez-Tabales, Julia M.; León-Mantero, Carmen – Teaching Statistics: An International Journal for Teachers, 2019
This paper presents the operation of the educational software, Real Estate Data Analyzer, to teachers and future teachers. It is a specific software that allows students carry out complete statistical analysis projects on the characteristics of the buildings that surround them.
Descriptors: Statistical Analysis, Computer Software, Teaching Methods, Real Estate
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