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David Broska; Michael Howes; Austin van Loon – Sociological Methods & Research, 2025
Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not "interchangeable," there is limited guidance on using LLMs to obtain valid estimates of causal effects and other parameters. We argue that LLM predictions…
Descriptors: Artificial Intelligence, Observation, Prediction, Correlation
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
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Welter, Marisete Maria; Jaarsveld, Saskia; Lachmann, Thomas – Creativity Research Journal, 2017
Previous research showed that in primary school, children's intelligence develops continually, but creativity develops more irregularly. In this study, the development of intelligence, measured traditionally, i.e., operating within well-defined problem spaces (Standard Progressive Matrices) was compared with the development of intelligence…
Descriptors: Creative Development, Intelligence, Elementary School Students, Creative Thinking
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Booth, Rhonda D. L.; Happé, Francesca G. E. – Journal of Autism and Developmental Disorders, 2018
Frith's original notion of 'weak central coherence' suggested that increased local processing in autism spectrum disorder (ASD) resulted from reduced global processing. More recent accounts have emphasised superior local perception and suggested intact global integration. However, tasks often place local and global processing in direct trade-off,…
Descriptors: Autism, Pervasive Developmental Disorders, Cognitive Processes, Intelligence Quotient
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Arslan, Coskun; Bülbül, Ayse Eliüsük; Büyükbayraktar, Çagla Girgin – Universal Journal of Educational Research, 2017
The main objective of this research is to determine the relationship between shyness, emotional intelligence and the five factor personality traits in university students. Furthermore it aims to determine whether the emotional intelligence and personality traits predict the Shyness levels at a significant level. The population of this study…
Descriptors: Emotional Intelligence, Personality Traits, Predictor Variables, College Students
Ferrando, Mercedes; Soto, Gloria; Prieto, Lola; Sáinz, Marta; Ferrándiz, Carmen – Online Submission, 2016
There has been an increasing body of research to uncover the relationship between creativity and intelligence. This relationship usually has been examined using traditional measures of intelligence and seldom using new approaches (i.e. Ferrando et al. 2005). In this work, creativity is measured by tools developed based on Sternberg's successful…
Descriptors: Creative Thinking, Creativity, Intelligence, Psychometrics
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Kaya, Fatih; Stough, Laura M.; Juntune, Joyce – Gifted Education International, 2017
This study explored the relationship between verbal and nonverbal intelligence scores in students from low-income households. Researchers investigated how the verbal and nonverbal scores of these students differed both by ability level and within each grade. The Reynolds Intellectual Assessment Scale was administered to 1935 kindergarten through…
Descriptors: Poverty, Correlation, Intelligence, Nonverbal Ability
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Malakar, Partha; Basu, Jayanti – International Journal of School & Educational Psychology, 2017
The aim of the study was to determine whether the general intelligence, cognitive processes, school achievement, and intelligence-achievement relationship of adolescents with subclinical levels of obsessive-compulsive symptoms differed from those of their normal counterparts. From an initial large pool of 14-year-old Bengali students in eighth…
Descriptors: Adolescents, Symptoms (Individual Disorders), Anxiety Disorders, Cognitive Processes
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Rice, Mabel L.; Zubrick, Stephen R.; Taylor, Catherine L.; Hoffman, Lesa; Gayán, Javier – Journal of Speech, Language, and Hearing Research, 2018
Purpose: This study investigates the heritability of language, speech, and nonverbal cognitive development of twins at 4 and 6 years of age. Possible confounding effects of twinning and zygosity, evident at 2 years, were investigated among other possible predictors of outcomes. Method: The population-based twin sample included 627 twin pairs and 1…
Descriptors: Longitudinal Studies, Genetics, Twins, Cognitive Development
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Al-Hilawani, Yasser A. – Educational Studies, 2018
The purpose of this study was to examine the relationship between metacognition as measured in real-life situations and IQ scores as reflected by performance on the Raven Standard Progressive Matrices Scale. It is also intended in this study to report on whether or not there were significant differences in performance on the metacognitive…
Descriptors: Intelligence Quotient, Metacognition, Correlation, Tests
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Ojha, Amitash; Indurkhya, Bipin; Lee, Minho – Creativity Research Journal, 2017
This pupillometry study examined the relationship between intelligence and creative cognition from the resource allocation perspective. It was hypothesized that, during a creative metaphor task, individuals with higher intelligence scores would have different resource allocation patterns than individuals with lower intelligence scores. The study…
Descriptors: Resource Allocation, Eye Movements, Creativity, Human Body
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Engin, Melih – Universal Journal of Educational Research, 2017
The objective of the present study is to determine whether there is a significant relationship between the students' readiness in online learning and their emotional intelligence levels. Correlational research method was used in the study. Online Learning Readiness Scale which was developed by Hung et al. (2010) has been used and Trait Emotional…
Descriptors: Foreign Countries, Electronic Learning, Learning Readiness, Emotional Intelligence
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Noor, Farukh; Hanafi, Zahyah – Malaysian Journal of Learning and Instruction, 2017
Purpose: Academic achievement of students can be fostered and improved if they learn to apply emotional intelligence in their emerging adulthood. The core objective of this research is to test the relationship between emerging adulthood and academic achievement by taking emotional intelligence as a mediator. Methodology: The sample comprises 90…
Descriptors: Emotional Intelligence, Young Adults, Late Adolescents, Academic Achievement
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Kriemeen, Hani; Hajaia, Sulaiman – World Journal of Education, 2017
The study aimed at investigating the level of the social intelligence among the male and female principals in Tafila Governorate from the teachers views and its relationship with creative behavior. The sample consisted of 190 male and female teachers chosen randomly. For achieving the goals of the study, the researchers developed two instruments,…
Descriptors: Principals, Intelligence, Creativity, Teacher Attitudes
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Sahin, Feyzullah – Cogent Education, 2016
Creativity of the individual is dependent on numerous factors, such as knowledge, general intelligence and emotional intelligence. The general purpose of this study is to investigate the effect of general intelligence, emotional intelligence and academic knowledge on the emerging of domain-specific creativity. The study was conducted on 178…
Descriptors: Intelligence, Emotional Intelligence, Knowledge Level, Predictor Variables
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