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Rehder, Bob – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Two experiments tested how the "functional form" of the causal relations that link features of categories affects category-based inferences. Whereas "independent causes" can each bring about an effect by themselves, "conjunctive causes" all need to be present for an effect to occur. The causal model view of category…
Descriptors: Role, Classification, Causal Models, Inferences
Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary on the Focus Article, "Interpretational Confounding or Confounded Interpretations of Causal Indicators?" and a commentary that was published in issue 12(4) 2014 of "Measurement: Interdisciplinary Research & Perspectives". The authors challenge two claims: (a) Bainter and Bollen argue that the…
Descriptors: Causal Models, Measurement, Data Interpretation, Structural Equation Models
Öllinger, Michael; Hammon, Stephanie; von Grundherr, Michael; Funke, Joachim – Educational Technology Research and Development, 2015
Causal mapping is often recognized as a technique to support strategic decisions and actions in complex problem situations. Such drawing of causal structures is supposed to particularly foster the understanding of the interaction of the various system elements and to further encourage holistic thinking. It builds on the idea that humans make use…
Descriptors: Problem Solving, Causal Models, Cognitive Mapping, Computer Simulation
Rajendran, Ramkumar; Kumar, Anurag; Carter, Kelly E.; Levin, Daniel T.; Biswas, Gautam – International Educational Data Mining Society, 2018
Researchers have highlighted how tracking learners' eye-gaze can reveal their reading behaviors and strategies, and this provides a framework for developing personalized feedback to improve learning and problem solving skills. In this paper, we describe analyses of eye-gaze data collected from 16 middle school students who worked with Betty's…
Descriptors: Eye Movements, Reading Processes, Reading Strategies, Middle School Students
Marjolein Cox; An Steegen; Jan Elen – International Journal of Designs for Learning, 2018
To gain insight into complex sustainability problems and acknowledge complexity is essential and can be achieved by creating an overview of the entire system, including interaction between variables. Therefore, systems thinking is recognized as a vital cognitive skill required to grasp complex global problems. Nevertheless, the implementation of…
Descriptors: Visual Aids, Thinking Skills, Systems Approach, Geography Instruction
Palma, Christopher; Plummer, Julia; Rubin, KeriAnn; Flarend, Alice; Ong, Yann Shiou; McDonald, Scott; Ghent, Chrysta; Gleason, Timothy; Furman, Tanya – Journal of Astronomy & Earth Sciences Education, 2017
The nature of students' ideas about the scientific practices used by astronomers when studying objects in our Solar System is of widespread interest to discipline-based astronomy education researchers. A sample of middle-school, high-school, and college students (N = 42) in the U.S. were interviewed about how astronomers were able to learn about…
Descriptors: Astronomy, Scientists, Middle School Students, High School Students
Castellano, Marisa E.; Richardson, George B.; Sundell, Kirsten; Stone, James R., III – Vocations and Learning, 2017
In the United States, education policy calls for every student to graduate from high school prepared for college and a career. National legislation has mandated programs of study (POS), which offer aligned course sequences spanning secondary and postsecondary education, blending standards-based academic and career and technical education (CTE)…
Descriptors: College Preparation, College Readiness, Career Development, Career Readiness
Abramov, Ruslan A.; Sokolov, Maxim S. – International Journal of Environmental and Science Education, 2016
Relevance of the study lies in the fact that modern higher education in the Russian Federation are increasingly approaching the critical state--despite attempts to reform and use of successful foreign practices, our country is still lagging behind in the role. The aim of the article is the formation on the events that occurred in the country over…
Descriptors: Foreign Countries, Higher Education, Deception, Cheating
Zhao, Yu; Lei, Pui-Wa – AERA Online Paper Repository, 2016
Despite the prevalence of ordinal observed variables in applied structural equation modeling (SEM) research, limited attention has been given to model evaluation methods suitable for ordinal variables, thus providing practitioners in the field with few guidelines to follow. This study represents a first attempt to thoroughly examine the…
Descriptors: Factor Analysis, Monte Carlo Methods, Causal Models, Least Squares Statistics
Pérez, Andrea; Collado, Jesús; del Mar García de los Salmones, María; Herrero, Ángel; San Martín, Héctor – Journal of the Scholarship of Teaching and Learning, 2019
This paper explores a causal model, using Structural Equation Modelling (SEM), in order to understand how the perceived effectiveness of the 'flipped classroom' and students' satisfaction with this technique can be affected by students' engagement in the 'flipped classroom' activities as well as the complexity and task orientation of such…
Descriptors: Instructional Effectiveness, Business Communication, Causal Models, Student Satisfaction
Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
West, Stephen G.; Grimm, Kevin J. – Measurement: Interdisciplinary Research and Perspectives, 2014
These authors agree with Bainter and Bollen that causal effects represents a useful measurement structure in some applications. The structure of the science of the measurement problem should determine the model; the measurement model should not determine the science. They also applaud Bainter and Bollen's important reminder that the full…
Descriptors: Causal Models, Measurement, Test Theory, Statistical Analysis
Simo Fotso, Arlette; Solaz, Anne; Diene, Mbaye; Tsafack Nanfosso, Roger – Education Economics, 2018
Although most of the world's disabled people live in developing countries, little is known about the consequences of disability in this part of the world. Using the DHS-MICS 2011 data of Cameroon, this paper contributes to the literature by providing new robust estimates of the effect of child disability on education in a developing country…
Descriptors: Foreign Countries, Human Capital, Children, Disabilities
Chan, Wendy – Journal of Research on Educational Effectiveness, 2017
Recent methods to improve generalizations from nonrandom samples typically invoke assumptions such as the strong ignorability of sample selection, which is challenging to meet in practice. Although researchers acknowledge the difficulty in meeting this assumption, point estimates are still provided and used without considering alternative…
Descriptors: Generalization, Inferences, Probability, Educational Research
Juliette K. Berg; Catherine P. Bradshaw; Booil Jo; Nicholas S. Ialongo – Grantee Submission, 2017
Complier Average Causal Effect (CACE) analysis, a causal inference approach that accounts for levels of teacher implementation compliance, was used to examine one-year impacts of PAX Good Behavior Game (PAX GBG) and Promoting Alternative Thinking Strategies (PATHS) on teacher efficacy and burnout. Teachers in 27 elementary schools were randomized…
Descriptors: Causal Models, Teacher Burnout, Elementary School Teachers, Educational Games

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