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Reimers, Jennifer; Turner, Ronna C.; Tendeiro, Jorge N.; Lo, Wen-Juo; Keiffer, Elizabeth – Measurement: Interdisciplinary Research and Perspectives, 2023
Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…
Descriptors: Goodness of Fit, Nonparametric Statistics, Error of Measurement, Comparative Analysis
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Hooks, Elizabeth; Dale, Brittany A.; Hernandez Finch, Maria E. – Psychology in the Schools, 2021
The purpose of the present study was to determine if individuals with autism spectrum disorder (ASD) display a unique pattern of responses on the Personality Assessment Inventory-Adolescent (PAI-A). Twenty adolescents between ages 12 and 18 completed the PAI-A, and their scores were compared to matched community and clinical samples from the…
Descriptors: Personality Measures, Personality Assessment, Psychopathology, Adolescents
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Trenova, Arailym; Seitzhanov, Azimkhan; Kosobaeva, Bakdolot; Imangaliyeva, Bazarkhan – Higher Education for the Future, 2023
The relevance of the research in this article is conditioned upon the problems of introducing environment-oriented education in the field of chemical discipline for the development of an important component of the information part of this science among students, based on its application in the framework of restoration and conservation of ecology.…
Descriptors: Ecology, Environmental Education, Science Instruction, Decision Making
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Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
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Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
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Forrester, William R.; Tashchian, Armen; Shore, Ted H. – American Journal of Business Education, 2016
This study investigated the applicability of the Big Five and FIRO-B frameworks as predictors of group process outcomes in the context of student teams. The personality dimensions of Agreeableness, Extraversion, Conscientiousness, and Neuroticism were correlated with the interpersonal behavior dimensions of Inclusion, Affection, and Control. The…
Descriptors: Intention, Teamwork, Group Dynamics, Personality