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Mandeep K. Dhami; Ian K. Belton; Peter De Werd; Velichka Hadzhieva; Lars Wicke – Cognitive Research: Principles and Implications, 2024
We empirically examined the effectiveness of how the Analysis of Competing Hypotheses (ACH) technique structures task information to help reduce confirmation bias (Study 1) and the portrayal of intelligence analysts as suffering from such bias (Study 2). Study 1 (N = 161) showed that individuals presented with hypotheses in rows and evidence items…
Descriptors: Task Analysis, Decision Making, Credibility, Cognitive Processes
Shunji Wang; Katerina M. Marcoulides; Jiashan Tang; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…
Descriptors: Hypothesis Testing, Error of Measurement, Comparative Analysis, Monte Carlo Methods
Shen, Xinxu; Ballard, Ian C.; Smith, David V.; Murty, Vishnu P. – Learning & Memory, 2022
Humans actively seek information to reduce uncertainty, providing insight on how our decisions causally affect the world. While we know that episodic memories can help support future goal-oriented behaviors, little is known about how hypothesis testing during exploration influences episodic memory. To investigate this question, we designed a…
Descriptors: Decision Making, Goal Orientation, Hypothesis Testing, Cognitive Processes
Duong, Quang Hung; Pham, To Nhu; Reynolds, Lorenna; Yeap, Yan; Walker, Steven; Lyons, Kayley – Advances in Health Sciences Education, 2023
Therapeutic reasoning is when the purpose, task, or goal for engaging in reasoning is to determine the patient's management plan. As the field's understanding of the process of therapeutic reasoning is less well understood, we focused on studies that collected data on the process of therapeutic reasoning. To synthesize previous studies of…
Descriptors: Therapy, Decision Making, Cognitive Processes, Learning Theories
Maegherman, Enide; Ask, Karl; Horselenberg, Robert; van Koppen, Peter J. – Applied Cognitive Psychology, 2021
The analysis of competing hypotheses (ACH) has been suggested to be a method that can protect against confirmation bias in the context of intelligence analysis. In the current study, we aimed to determine whether ACH could counter confirmation bias in the reasoning with evidence in the context of criminal law proceedings. Law students (N = 191)…
Descriptors: Hypothesis Testing, Bias, Decision Making, Criminal Law
Leins, Drew A.; Zimmerman, Laura A.; Vowels, Christopher L. – Applied Cognitive Psychology, 2022
This study explored the decision-making processes of soldiers as they evaluated scenarios containing information offering various levels of certainty. Soldiers with different levels of experience read scenarios that presented potential threats and then identified the priority threat, their confidence in this identification, and the cues they used…
Descriptors: Experience, Ambiguity (Semantics), Ambiguity (Context), Hypothesis Testing
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
Adam Sales – Society for Research on Educational Effectiveness, 2021
Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…
Descriptors: Educational Research, Statistical Analysis, Research Design, Decision Making
Wilson, Cristina G.; Qian, Feifei; Jerolmack, Douglas J.; Roberts, Sonia; Ham, Jonathan; Koditschek, Daniel; Shipley, Thomas F. – Cognitive Research: Principles and Implications, 2021
How do scientists generate and weight candidate queries for hypothesis testing, and how does learning from observations or experimental data impact query selection? Field sciences offer a compelling context to ask these questions because query selection and adaptation involves consideration of the spatiotemporal arrangement of data, and therefore…
Descriptors: Hypothesis Testing, Data Collection, Information Seeking, Decision Making
Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
Cohen, Dale J.; Cromley, Amanda R.; Freda, Katelyn E.; White, Madeline – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Here, we present a strong test of the hypothesis that sacrificial moral dilemmas are solved using the same value-based decision mechanism that operates on decisions concerning economic goods. To test this hypothesis, we developed Psychological Value Theory. Psychological Value Theory is an expansion and generalization of Cohen and Ahn's (2016)…
Descriptors: Hypothesis Testing, Decision Making, Moral Values, Problem Solving
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Gondra, Ager – International Journal of Bilingual Education and Bilingualism, 2022
The Interface Hypothesis proposes that the pragmatic-discursive interface with syntax is more vulnerable to crosslinguistic influence than the syntactic-semantic interface [Tsimpli, Ianthi, and Antonella Sorace. 2006. "Differentiating Interfaces: L2 Performance in Syntax- Semantics and Syntax-Discourse Phenomena." In Proceedings of the…
Descriptors: Verbs, Spanish, Linguistic Theory, Task Analysis