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Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
Gaševic, Dragan; Kovanovic, Vitomir; Joksimovic, Srecko – Learning: Research and Practice, 2017
The field of learning analytics was founded with the goal to harness vast amounts of data about learning collected by the extensive use of technology. After the early formation, the field has now entered the next phase of maturation with a growing community who has an evident impact on research, practice, policy, and decision-making. Although…
Descriptors: Educational Research, Data Analysis, Research and Development, Theory Practice Relationship
Wills, Andy J.; Pothos, Emmanuel M. – Psychological Bulletin, 2012
Vanpaemel and Lee (2012) argued, and we agree, that the comparison of formal models can be facilitated by Bayesian methods. However, Bayesian methods neither precede nor supplant our proposals (Wills & Pothos, 2012), as Bayesian methods can be applied both to our proposals and to their polar opposites. Furthermore, the use of Bayesian methods to…
Descriptors: Classification, Bayesian Statistics, Models, Comparative Analysis
Gonzalez, Cleotilde; Dutt, Varun – Psychological Review, 2012
Hills and Hertwig (2012) challenge the proposed similarity of the exploration-exploitation transitions found in Gonzalez and Dutt (2011) between the 2 experimental paradigms of decisions from experience (sampling and repeated-choice), which was predicted by an instance-based learning (IBL) model. The heart of their argument is that in the sampling…
Descriptors: Data, Models, Learning Processes, Criticism
Piety, Philip – Measurement: Interdisciplinary Research and Perspectives, 2011
Coburn and Turner's "Research on Data Use: A Framework and Analysis" is a major step forward for educational researchers in the still-young community studying how educational systems are impacted by information tools. Even though the "data" that Coburn and Turner focus on in this paper are largely from traditional assessments, this work has…
Descriptors: Educational Research, Data, Information Utilization, Models
Walker, A. Adrienne; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2014
"Game-Based Assessments: A Promising Way to Create Idiographic Perspectives" (Adrienne Walker and George Englehard) comments on: "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" by Russell G. Almond, Yoon Jeon Kim, Gertrudes Velasquez, and Valerie J. Shute. Here, Walker and Englehard write…
Descriptors: Educational Games, Task Analysis, Models, Educational Assessment
Steinley, Douglas; Brusco, Michael J. – Psychological Methods, 2011
McLachlan (2011) and Vermunt (2011) each provided thoughtful replies to our original article (Steinley & Brusco, 2011). This response serves to incorporate some of their comments while simultaneously clarifying our position. We argue that greater caution against overparamaterization must be taken when assuming that clusters are highly elliptical…
Descriptors: Multivariate Analysis, Research Methodology, Data, Models
Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2012
Most biological scientists conduct experiments to look for effects, and test the results statistically. One of the commonly used test is Student's t test. However, this test concentrates on a very limited question. The authors assume that there is no effect in the experiment, and then estimate the possibility that they could have obtained these…
Descriptors: Statistical Significance, Scientists, Tests, Biology
Age, Lars-Johan – Qualitative Report, 2011
Glaserian grounded theory methodology, which has been widely adopted as a scientific methodology in recent decades, has been variously characterised as "hermeneutic" and "positivist." This commentary therefore takes a different approach to characterising grounded theory by undertaking a comprehensive analysis of: (a) the philosophical paradigms of…
Descriptors: Grounded Theory, Critical Theory, Scientific Methodology, Hermeneutics
Vermunt, Jeroen K. – Psychological Methods, 2011
Steinley and Brusco (2011) presented the results of a huge simulation study aimed at evaluating cluster recovery of mixture model clustering (MMC) both for the situation where the number of clusters is known and is unknown. They derived rather strong conclusions on the basis of this study, especially with regard to the good performance of…
Descriptors: Multivariate Analysis, Simulation, Research, Mathematics
Klauer, Karl Christoph; Kellen, David – Psychological Review, 2012
Rosner and Kochanski (2009) noticed an inconsistency in the mathematical statement of the Law of Categorical Judgment and derived "the valid equation, the Law of Categorical Judgment (Corrected)" (p. 125). The purpose of this comment is to point out that the law can be corrected in many different ways, leading to substantially different…
Descriptors: Test Items, Goodness of Fit, Mathematics Education, Models
Jang, Yoonhee; Mickes, Laura; Wixted, John T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
The slope of the z-transformed receiver-operating characteristic (zROC) in recognition memory experiments is usually less than 1, which has long been interpreted to mean that the variance of the target distribution is greater than the variance of the lure distribution. The greater variance of the target distribution could arise because the…
Descriptors: Research Design, Prediction, Recognition (Psychology), Memory
Black, Paul; Wilson, Mark; Yao, Shih-Ying – Measurement: Interdisciplinary Research and Perspectives, 2011
In this rejoinder, the authors provide their thoughts on each of the commentaries of the seven respondents to their article. They find that the response of Kyngdon differs markedly from the others in questioning some basic elements of the methods of analysis that they propose for the construction of a "road map." The authors emphasize that they…
Descriptors: Teaching Methods, Data Analysis, Measurement Techniques, Educational Improvement
Barrouillet, Pierre; Portrat, Sophie; Vergauwe, Evie; Diependaele, Kevin; Camos, Valerie – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
The sources of forgetting in working memory (WM) are a matter of intense debate: Is there a time-related decay of memory traces, or is forgetting uniquely due to representation-based interference? In a previous study, we claimed to have provided evidence supporting the temporal decay hypothesis (S. Portrat, P. Barrouillet, & V. Camos, 2008).…
Descriptors: Evidence, Models, Short Term Memory, Prediction