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Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
Ruoxuan Li; Lijuan Wang – Grantee Submission, 2024
Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical…
Descriptors: Social Science Research, Causal Models, Formative Evaluation, Measurement
Ting Ye; Ted Westling; Lindsay Page; Luke Keele – Grantee Submission, 2024
The clustered observational study (COS) design is the observational study counterpart to the clustered randomized trial. In a COS, a treatment is assigned to intact groups, and all units within the group are exposed to the treatment. However, the treatment is non-randomly assigned. COSs are common in both education and health services research. In…
Descriptors: Nonparametric Statistics, Identification, Causal Models, Multivariate Analysis
Guomin Chen; Pengrun Chen; Ying Wang; Nan Zhu – Interactive Learning Environments, 2024
The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…
Descriptors: MOOCs, Electronic Learning, Design, Technology Uses in Education
Razieh Safarifard; Masoud Gholamali Lavasani; Elaheh Hejazi; Fatemeh Narenji Thani – Knowledge Management & E-Learning, 2024
The pedagogy aspect of education has been the key factor influencing the effectiveness and quality of e-learning platforms. However, there is a lack of systematic review with an emphasis on the pedagogical aspect when it comes to e-learning in higher education. This research aims to systematically review seven major databases to identify the…
Descriptors: Electronic Learning, Higher Education, Journal Articles, Constructivism (Learning)
Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity
Punniyamoorthy, M.; Asumptha, J. Antonette – Knowledge Management & E-Learning, 2019
The intention of this paper is to present the concept of knowledge sharing practices among faculty members in academic institutions through the theory of planned behavior (TPB). This paper examines survey results collected on academician's knowledge sharing. A theory of planned behavior is used as a source model to develop two models: one with the…
Descriptors: Foreign Countries, Knowledge Level, Information Dissemination, College Faculty
Gal, Iddo; Geiger, Vince – Educational Studies in Mathematics, 2022
In this article, we report on a typology of the demands of statistical and mathematical products (StaMPs) embedded in media items related to the COVID-19 (coronavirus) pandemic. The typology emerged from a content analysis of a large purposive sample of diverse media items selected from digital news sources based in four countries. The findings…
Descriptors: News Media, News Reporting, COVID-19, Pandemics
Bramley, Neil R.; Gerstenberg, Tobias; Mayrhofer, Ralf; Lagnado, David A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
A large body of research has explored how the time between two events affects judgments of causal strength between them. In this article, we extend this work in 4 experiments that explore the role of temporal information in causal structure induction with multiple variables. We distinguish two qualitatively different types of information: The…
Descriptors: Time, Causal Models, Associative Learning, Learning Processes
Ali, Usama S.; Walker, Michael E. – ETS Research Report Series, 2014
Two methods are currently in use at Educational Testing Service (ETS) for equating observed item difficulty statistics. The first method involves the linear equating of item statistics in an observed sample to reference statistics on the same items. The second method, or the item response curve (IRC) method, involves the summation of conditional…
Descriptors: Difficulty Level, Test Items, Equated Scores, Causal Models
Darabi, Aubteen; Arrastia-Lloyd, Meagan C.; Nelson, David W.; Liang, Xinya; Farrell, Jennifer – Advances in Health Sciences Education, 2015
In order to develop an expert-like mental model of complex systems, causal reasoning is essential. This study examines the differences between forward and backward instructional strategies in terms of efficiency, students' learning and progression of their mental models of the electronic transport chain in an undergraduate metabolism course…
Descriptors: Causal Models, Teaching Methods, Learning Processes, Undergraduate Students
Fernando, Chrisantha – Cognitive Science, 2013
How do human infants learn the causal dependencies between events? Evidence suggests that this remarkable feat can be achieved by observation of only a handful of examples. Many computational models have been produced to explain how infants perform causal inference without explicit teaching about statistics or the scientific method. Here, we…
Descriptors: Brain Hemisphere Functions, Infants, Inferences, Causal Models
de la Fuente, Jesús; Justicia, Fernando; Sander, Paul; Cardelle-Elawar, Maria – Electronic Journal of Research in Educational Psychology, 2014
Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…
Descriptors: Foreign Countries, Undergraduate Students, Self Control, Models
Holm, Linus; Ullen, Fredrik; Madison, Guy – Journal of Experimental Psychology: Human Perception and Performance, 2013
We investigated the causal role of executive control functions in the production of brief time intervals by means of a concurrent task paradigm. To isolate the influence of executive functions on timing from motor coordination effects, we dissociated executive load from the number of effectors used in the dual task situation. In 3 experiments,…
Descriptors: Foreign Countries, Models, Executive Function, Time
Ghanizadeh, Afsaneh; Ghonsooly, Behzad – Educational Research for Policy and Practice, 2014
The present study aims at delving into English as foreign language teachers' attributions by investigating the role of teacher attributions in teacher burnout and teacher self-regulation. This is accomplished by building a causal structural model through which the associations among these constructs are estimated. The results demonstrate that…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers