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Masnick, Amy M.; Morris, Bradley J. – Education Sciences, 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of…
Descriptors: Models, Science Process Skills, Data Interpretation, Cognitive Processes
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
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Marmolejo-Ramos, Fernando; Cousineau, Denis – Educational and Psychological Measurement, 2017
The number of articles showing dissatisfaction with the null hypothesis statistical testing (NHST) framework has been progressively increasing over the years. Alternatives to NHST have been proposed and the Bayesian approach seems to have achieved the highest amount of visibility. In this last part of the special issue, a few alternative…
Descriptors: Hypothesis Testing, Bayesian Statistics, Evaluation Methods, Statistical Inference
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Dittrich, Dino; Leenders, Roger Th. A. J.; Mulder, Joris – Sociological Methods & Research, 2019
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…
Descriptors: Correlation, Bayesian Statistics, Networks, Evaluation Methods
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Chelsea Daniels; Yoav Bergner; Collin Lynch; Tiffany Barnes – Grantee Submission, 2018
In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…
Descriptors: Hypothesis Testing, Social Networks, Network Analysis, MOOCs
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Nasrullah, Shazia; Khan, Muhammad Saqib; Khan, Irfanullah – Journal of Education and Practice, 2016
The current study will be conducted in relationship of entrepreneurship education and academic performance. The study will be conducted on the post graduate students in the Universities of Bahawalpur. In the current study those universities will be included that were offering and also not offering entrepreneurship as a subject of teaching. The…
Descriptors: Foreign Countries, Entrepreneurship, Academic Achievement, Student Evaluation
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Rouet, Jean-François; Britt, M. Anne; Durik, Amanda M. – Educational Psychologist, 2017
We introduce RESOLV, a theoretical model to account for readers' construction and management of goals during text comprehension and use. RESOLV focuses on readers' experience of their physical, social, and communicative context prior to actually engaging with texts. RESOLV assumes that readers construct two types of mental models prior to reading:…
Descriptors: Reading Strategies, Reading Skills, Models, Reading Comprehension
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Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
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Baghaei, Purya; Kubinger, Klaus D. – Practical Assessment, Research & Evaluation, 2015
The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an extension of the Rasch model with linear constraints on item parameters, along with eRm (an R package to estimate different types of Rasch models; Mair, Hatzinger, & Mair, 2014) functions to estimate the model and interpret its parameters. The…
Descriptors: Item Response Theory, Models, Test Validity, Hypothesis Testing
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Li, Feiming; Cohen, Allan; Bottge, Brian; Templin, Jonathan – Educational and Psychological Measurement, 2016
Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…
Descriptors: Statistical Analysis, Change, Thinking Skills, Measurement
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Peng, Chao-Ying Joanne; Long, Haiying; Abaci, Serdar – Journal of Experimental Education, 2012
Given the importance of statistical power analysis in quantitative research and the repeated emphasis on it by American Educational Research Association/American Psychological Association journals, the authors examined the reporting practice of power analysis by the quantitative studies published in 12 education/psychology journals between 2005…
Descriptors: Educational Research, Computer Software, Hypothesis Testing, Statistical Analysis
Vandivere, Sharon; Malm, Karin – Child Trends, 2015
This document was produced by the authors based on their research for the report, "Family Finding Evaluations: A Summary of Recent Findings. Publication #2015-01," and is an added resource for further information. The report reviews the results from 13 evaluations of Family Finding. The Family Finding model provides child welfare…
Descriptors: Foster Care, Barriers, Family Relationship, Child Welfare
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Demetrion, George – Journal of Research and Practice for Adult Literacy, Secondary, and Basic Education, 2012
The purpose of this essay is to draw out key insights from Dewey's important text "Logic: The Theory of Inquiry" to provide theoretical and practical support for the emergent field of teacher research. The specific focal point is the argument in Cochran-Smith and Lytle's "Inside/Outside: Teacher Research and Knowledge" on the significance of…
Descriptors: Educational Research, Teacher Researchers, Research Methodology, Inquiry
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Draxler, Clemens – Educational Research and Evaluation, 2011
This article discusses the application of logit models for the analyses of 2-way categorical observations. The models described are generalized linear models using the logit link function. One of the models is the Rasch model (Rasch, 1960). The objective is to test hypotheses of marginal and conditional independence between explanatory quantities…
Descriptors: Models, Item Response Theory, Educational Research, Hypothesis Testing
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Weber, Daniel N.; Hesselbach, Renee; Kane, Andrew S.; Petering, David H.; Petering, Louise; Berg, Craig A. – American Biology Teacher, 2013
Understanding human environmental health is difficult for high school students, as is the process of scientific investigation. This module provides a framework to address both concerns through an inquiry-based approach using a hypothesis-driven set of experiments that draws upon a real-life concern, environmental exposures to lead (Pb2+). Students…
Descriptors: Biology, Science Instruction, Hypothesis Testing, Inquiry
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