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Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
Weise, Lorenz; Forster, Saskia D.; Gauggel, Siegfried – Metacognition and Learning, 2022
In the area of metacognition research, different methods have been used to study participants' subjective sense of confidence in their choices. Among the most often used methods are explicit reports of subjective confidence, post-decision wagering and measuring additional info-seeking behavior. While all three methods are thought to measure…
Descriptors: Correlation, Error Correction, Information Seeking, Metacognition
Hu, Xiao; Yang, Chunliang; Luo, Liang – Metacognition and Learning, 2022
Many previous studies observed that higher retrospective confidence ratings about memory performance were associated with shorter response times in memory test. Researchers often interpret response time as a measure of retrieval fluency which is an important cue utilized in confidence formation process. However, the drift diffusion model (DDM)…
Descriptors: Memory, Decision Making, Models, Reaction Time
Wang, Tingting; Lajoie, Susanne P. – Educational Psychology Review, 2023
Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students' performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e.,…
Descriptors: Cognitive Ability, Metacognition, Cognitive Processes, Correlation
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Hung, Su-Pin; Huang, Hung-Yu – Journal of Educational and Behavioral Statistics, 2022
To address response style or bias in rating scales, forced-choice items are often used to request that respondents rank their attitudes or preferences among a limited set of options. The rating scales used by raters to render judgments on ratees' performance also contribute to rater bias or errors; consequently, forced-choice items have recently…
Descriptors: Evaluation Methods, Rating Scales, Item Analysis, Preferences
Van Der Leij, Tore; Avraamidou, Lucy; Wals, Arjen; Goedhart, Martin – Studies in Science Education, 2022
This review study synthesises 28 empirical research articles emphasising the learning of morality aspects in the context of addressing socioscientific issues (SSI) in secondary science education. The key interrelated questions we seek to address in this study are how morality is conceptualised in the science classroom in the light of emerging…
Descriptors: Secondary School Students, Moral Values, Moral Development, Science Instruction
Kevser Tasel-Jurkovic; Ipek Altinbasak-Farina – Journal of Marketing for Higher Education, 2024
This study aims to develop a comprehensive HEI choice intention (CI) model to understand how social influence (SI), brand equity (BE), and HEI factors influence attitude toward HEI (HEIA) as well as how the HEI attitude is a mediator of the relationship of these variables with the HEI CI. Data collected from 1633 high school seniors via online…
Descriptors: Higher Education, College Choice, Decision Making, Social Influences
Timothy Scott; Wenyu Guan – SAGE Open, 2024
This research rigorously examines the determinants shaping undergraduate student outcomes within two small private Thai universities, specifically Asia-Pacific International University and Krirk University. The emphasis on small private universities is deliberate, given their heightened vulnerability to institutional instability. This…
Descriptors: Outcomes of Education, Private Colleges, Models, Correlation
Han, Hyemin; Dawson, Kelsie J. – Journal of Moral Education, 2022
Although some previous studies have investigated the relationship between moral foundations and moral judgment development, the methods used have not been able to fully explore the relationship. In the present study, we used Bayesian Model Averaging (BMA) in order to address the limitations in traditional regression methods that have been used…
Descriptors: Moral Values, Moral Development, Decision Making, Correlation
Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
King, Patricia M.; Sparks, Tim – Journal of College and Character, 2022
In this article, we introduce the four component model (FCM), which describes both the internal processes that play distinct roles in the production of moral behavior and their associated sets of relevant, teachable skills. We use this model as an analytic framework to examine college students' moral character experiences reported in the Wabash…
Descriptors: Moral Values, Moral Development, Models, Correlation
Kumar, Abhilasha A.; Balota, David A.; Steyvers, Mark – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We examined 3 different network models of representing semantic knowledge (5,018-word directed and undirected step distance networks, and an association-correlation network) to predict lexical priming effects. In Experiment 1, participants made semantic relatedness judgments for word pairs with varying path lengths. Response latencies for…
Descriptors: Semantics, Networks, Correlation, Semitic Languages
Hasenäcker, Jana; Schroeder, Sascha – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Reading development involves several changes in orthographic processing. A key question is, "how does the coding of letters develops in children learning to read?" Masked priming effects of transposition and substitution primes have been taken to index the importance of letter position and identity coding. Somewhat contradicting results…
Descriptors: Alphabets, Reading Processes, Priming, Longitudinal Studies
Senol, Fatma Betül; Metin, Emine Nilgün – Participatory Educational Research, 2021
The Social Information Processing Process Model consists of organizing the social adaptation and behavior of children in line with their responses to the social situations they encounter with their peers in their daily lives. The Social Information Processing Model affects children's ability to interact with their peers, their level of…
Descriptors: Preschool Children, Interpersonal Competence, Social Cognition, Rating Scales