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Bom, Peter L.; Koopman, Maaike; Bijaard, Douwe – European Journal of STEM Education, 2019
In this study, student teachers explored four data collection methods for data feedback to improve their teaching skills in Science and Technology [S&T]. The aim was to verify whether these methods were suitable for collecting data concerning their teaching skills during S&T activities in their internships. They analysed the collected data…
Descriptors: Student Teachers, Data Use, Feedback (Response), Teacher Improvement
Gouëdard, Pierre – OECD Publishing, 2021
Across OECD countries, the increasing demand for evidence-based policy making has further led governments to design policies jointly with clear measurable objectives, and to define relevant indicators to monitor their achievement. This paper discusses the importance of such indicators in supporting the implementation of education policies.…
Descriptors: Educational Indicators, Program Implementation, Educational Policy, Policy Formation
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Wilcox, Rand R.; Serang, Sarfaraz – Educational and Psychological Measurement, 2017
The article provides perspectives on p values, null hypothesis testing, and alternative techniques in light of modern robust statistical methods. Null hypothesis testing and "p" values can provide useful information provided they are interpreted in a sound manner, which includes taking into account insights and advances that have…
Descriptors: Hypothesis Testing, Bayesian Statistics, Computation, Effect Size
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Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
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Pek, Jolynn; Wong, Octavia; Wong, C. M. – Practical Assessment, Research & Evaluation, 2017
Data transformations have been promoted as a popular and easy-to-implement remedy to address the assumption of normally distributed errors (in the population) in linear regression. However, the application of data transformations introduces non-ignorable complexities which should be fully appreciated before their implementation. This paper adds to…
Descriptors: Data Analysis, Regression (Statistics), Statistical Inference, Data Interpretation
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Feinberg, Richard A.; Jurich, Daniel P. – Educational Measurement: Issues and Practice, 2017
Recent research has proposed a criterion to evaluate the reportability of subscores. This criterion is a value-added ratio ("VAR"), where values greater than 1 suggest that the true subscore is better approximated by the observed subscore than by the total score. This research extends the existing literature by quantifying statistical…
Descriptors: Guidelines, Scores, Research Reports, Value Added Models
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Creamer, Elizabeth G.; Edwards, Cherie D. – AERA Online Paper Repository, 2017
This research aims to make a methodological contribution to the mixed methods literature by investigating the value-added of empirical studies that are explicitly framed with the purpose of interrogating divergent findings. Case studies introduce the role philosophical paradigms can play in reconciliation process and reveal the potential to…
Descriptors: Mixed Methods Research, Research Design, Case Studies, Research Problems
Maureen Wangard – Sage Research Methods Cases, 2017
In 2014, I began dissertation research examining the leadership of Father Paul Reinert, S.J., former president and chancellor at Saint Louis University. Father Reinert was an influential figure within the field of Catholic higher education at the local, national, and international levels; however, despite his significant contributions to higher…
Descriptors: Archives, Higher Education, Catholic Schools, Leadership Styles
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Anne A. Taylor; Lucie M. Byrne-Davis – Numeracy, 2017
Patient safety is a priority in healthcare today. Good clinician numeracy in doctors contributes to patient safety, since it is essential for accuracy in prescribing, and in data interpretation. Evidence, however, suggests that although doctors are assumed to be highly numerate, they often make errors in drug dose calculation and struggle to…
Descriptors: Numeracy, Physicians, Foreign Countries, Data Interpretation
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Golumbic, Yaela N.; Fishbain, Barak; Baram-Tsabari, Ayelet – International Journal of Science Education, Part B: Communication and Public Engagement, 2020
Citizen science is transforming the ways scientific knowledge is created, in that citizens participate in active scientific research, and large scientific databases can be accessed online. However, data availability does not guarantee public use or the relevance of these resources. This paper addresses the ways in which non-expert adults involved…
Descriptors: Scientific Literacy, Data Interpretation, Data Use, Lay People
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Lee, Hollylynne S.; Mojica, Gemma F.; Lovett, Jennifer N. – Online Learning, 2020
With online learning becoming a more viable option for teachers to develop their expertise, our report shares one such effort focused on improving the teaching of statistics. We share design principles and learning opportunities in an online course developed specifically to serve as a widescale online professional development opportunity for…
Descriptors: Professional Development, Beliefs, Statistics, Mathematics Instruction
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Fernández, María Soledad; Pomilio, Carlos; Cueto, Gerardo; Filloy, Julieta; Gonzalez-Arzac, Adelia; Lois-Milevicich, Jimena; Pérez, Adriana – Statistics Education Research Journal, 2020
Though statistics is covered in secondary-school curricula, it is usually limited to few lessons and mainly taught in a procedural approach. There seems to be a gap between the education of mathematics teachers and the demands on their practice. Learning statistics from a mathematical perspective does not qualify to teach the subject properly.…
Descriptors: Skill Development, Statistics, Workshops, Preservice Teachers
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Moreno-Estevaa, Enrique Garcia; White, Sonia L. J.; Wood, Joanne M.; Black, Alex A. – Frontline Learning Research, 2018
In this research, we aimed to investigate the visual-cognitive behaviours of a sample of 106 children in Year 3 (8.8 ± 0.3 years) while completing a mathematics bar-graph task. Eye movements were recorded while children completed the task and the patterns of eye movements were explored using machine learning approaches. Two different techniques of…
Descriptors: Artificial Intelligence, Man Machine Systems, Mathematics Education, Eye Movements
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Oslund, Eric L.; Elleman, Amy M.; Wallace, Kelli – Journal of Learning Disabilities, 2021
In tiered instructional systems (Response to Intervention [RTI]/Multitier System of Supports [MTSS]) that rely on ongoing assessment of students at risk of experiencing academic difficulties, the ability to make informed decisions using student data is critical for student learning. Prior research has demonstrated that, on average, teachers have…
Descriptors: Data Use, Decision Making, Data Interpretation, Professional Development
Lazarus, Sheryl S.; Hinkle, Andrew R.; Liu, Kristin K.; Thurlow, Martha L.; Ressa, Virginia A. – National Center on Educational Outcomes, 2021
The National Center on Educational Outcomes (NCEO) held a virtual meeting of an Interim Assessment Advisory Panel on February 16 and 17, 2021, to tap into the panel members' collective knowledge about using interim assessments to support valid interpretations of what students with disabilities know and can do. The panel represented…
Descriptors: Student Evaluation, Students with Disabilities, Guidance, State Departments of Education
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