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Liu, Xiaoling; Cao, Pei; Lai, Xinzhen; Wen, Jianbing; Yang, Yanyun – Educational and Psychological Measurement, 2023
Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…
Descriptors: Correlation, Measurement Techniques, Prediction, Regression (Statistics)
Jung, Rex E.; Hunter, Dan R. – Creativity Research Journal, 2023
Psychologist J. P. Guildford issued a challenge to study creativity nearly 70 years ago. How well have we done and what might the next steps be in our endeavors to understand creativity? The field of creativity research has examined the internal thinking process of creativity, largely through measures of divergent thinking and remote associates.…
Descriptors: Creativity, Creative Thinking, Success, Intelligence
Yildiz, Banu – International Journal of Psychology and Educational Studies, 2023
Effectively addressing and resolving conflicts in close relationships plays an important role in maintaining healthy relationships. Therefore, in this study, it is aimed to examine the predictive role of attachment styles (anxiety and avoidance) and the growth fear in close relationships on constructive and destructive conflict resolution…
Descriptors: Conflict Resolution, Attachment Behavior, Fear, Anxiety
McKinley, Geoffrey L.; Peterson, Daniel J. – Cognitive Research: Principles and Implications, 2023
When selecting fillers to include in a police lineup, one must consider the level of similarity between the suspect and potential fillers. In order to reduce misidentifications, an innocent suspect should not stand out. Therefore, it is important that the fillers share some degree of similarity. Importantly, increasing suspect-filler similarity…
Descriptors: Models, Human Body, Criminals, Law Enforcement
Hall, Michelle; Lees, Melinda; Serich, Cameron; Hunt, Richard – National Centre for Vocational Education Research (NCVER), 2023
This paper summarises exploratory analysis undertaken to evaluate the effectiveness of using machine learning approaches to calculate projected completion rates for vocational education and training (VET) programs, and compares this with the current approach used at the National Centre for Vocational Education Research (NCVER) -- Markov chains…
Descriptors: Vocational Education, Graduation Rate, Artificial Intelligence, Prediction
Alexandra C. Salem; Robert C. Gale; Mikala Fleegle; Gerasimos Fergadiotis; Steven Bedrick – Journal of Speech, Language, and Hearing Research, 2023
Purpose: To date, there are no automated tools for the identification and fine-grained classification of paraphasias within discourse, the production of which is the hallmark characteristic of most people with aphasia (PWA). In this work, we fine-tune a large language model (LLM) to automatically predict paraphasia targets in Cinderella story…
Descriptors: Aphasia, Prediction, Story Telling, Oral Language
Stacey von Winckelmann – ProQuest LLC, 2023
The research problem addressed in this study is that racial bias programmed into predictive algorithm recommendations negatively impacts students in historically underrepresented groups. The purpose of this qualitative descriptive study was to explore the perception of algorithm accuracy among data professionals in higher education and explore the…
Descriptors: Prediction, Algorithms, Racism, Accuracy
Stacey Lynn von Winckelmann – Information and Learning Sciences, 2023
Purpose: This study aims to explore the perception of algorithm accuracy among data professionals in higher education. Design/methodology/approach: Social justice theory guided the qualitative descriptive study and emphasized four principles: access, participation, equity and human rights. Data collection included eight online open-ended…
Descriptors: Prediction, Algorithms, Racism, Accuracy
Neumuller, Seth – Journal of Economic Education, 2023
The author of this article demonstrates how the unified approach to answering economic questions employed in modern quantitative macroeconomics research can be taught to undergraduate students using the Solow model. Through an application to post-WWII Japan, students get hands-on experience with (1) documenting empirical facts, (2) developing a…
Descriptors: Macroeconomics, Undergraduate Students, Prediction, Teaching Methods
Mason, Terrell – ProQuest LLC, 2023
Using the Learning Analytics in Higher Education model (Lester et al., 2017) as a framework and qualitative methods (Merriam & Tisdale, 2016), I explored advising administrators' perspectives relating to predictive analytics (PA) and underrepresented minority (URM) students, specifically their thoughts on how they perceive PA on their…
Descriptors: Academic Advising, Leaders, Administrator Attitudes, Prediction
Kaltefleiter, Larissa J.; Schuwerk, Tobias; Wiesmann, Charlotte Grosse; Kristen-Antonow, Susanne; Jarvers, Irina; Sodian, Beate – Developmental Science, 2022
Unsuccessful replication attempts of paradigms assessing children's implicit tracking of false beliefs have instigated the debate on whether or not children have an implicit understanding of false beliefs before the age of four. A novel multi-trial anticipatory looking false belief paradigm yielded evidence of implicit false belief reasoning in 3-…
Descriptors: Beliefs, Preschool Children, Cognitive Processes, Thinking Skills
Whitely, Aleesha; Shandley, Kerrie; Huynh, Minh; Brown, Christine M.; Austin, David W.; Bhowmik, Jahar – Journal of Autism and Developmental Disorders, 2022
A succession of interconnected environmental factors is believed to contribute substantially to the development of autism spectrum disorder (ASD). This exploratory study therefore aims to identify potential risk factors for ASD that are associated with pregnancy, birth and infant feeding. Demographic and health-related data on children aged…
Descriptors: Pregnancy, Birth, Infants, Nutrition
Mulligan, Neil W.; Susser, Jonathan A.; Horschler, Daniel J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Actions can enhance memory, exemplified by the enactment effect. In a typical experiment, participants hear a series of simple action phrases (e.g., "bounce the ball"), which they either carry out (subject-performed tasks, or SPTs), watch the experimenter carry out (experimenter-performed tasks, EPTs), or simply listen to (verbal tasks,…
Descriptors: Memory, Metacognition, Prediction, Interaction
Tanida, Yuki; Saito, Satoru – Cognitive Science, 2022
We analyzed a Japanese lexical database to investigate the structure of the lexical environment based on the hypothesis that the lexical environment is optimized for the functioning of verbal working memory. Our prediction was that, as a consequence of the cultural transmission of language, low-imageable meanings tend to be represented by frequent…
Descriptors: Prediction, Short Term Memory, Foreign Countries, Phonology
Lincoln, Don – Physics Teacher, 2022
The standard model of particle physics is the most successful theory describing the behavior of matter and energy in the subatomic realm. However, success doesn't mean it is perfect, and a recent measurement of the mass of a particle called the W boson is puzzling, as it disagrees with theoretical predictions and earlier precise measurements. If…
Descriptors: Physics, Models, Nuclear Energy, Measurement

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