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Nosofsky, Robert M.; Meagher, Brian J.; Kumar, Parhesh – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
A classic issue in the cognitive psychology of human category learning has involved the contrast between exemplar and prototype models. However, experimental tests to distinguish the models have relied almost solely on use of artificially-constructed categories composed of simplified stimuli. Here we contrast the predictions from the models in a…
Descriptors: Cognitive Psychology, Natural Sciences, Experimental Psychology, Prediction
Dobbins, Ian G. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The recognition memory receiver operating characteristic (ROC) is typically asymmetric with a characteristic elevation of the left-hand portion. Whereas the unequal variance signal detection model (uvsd) assumes the asymmetry results because old item evidence is noisier than new item evidence, the dual process signal detection model (dpsd) assumes…
Descriptors: Acoustics, Recognition (Psychology), Memory, Task Analysis
Brainerd, C. J.; Nakamura, K.; Chang, M.; Bialer, D. M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Recollection rejection is traditionally defined as using verbatim traces of old items' presentations to reject new similar test cues, in old/new recognition (e.g., rejecting that "couch" is old by retrieving verbatim traces of "sofa"'s presentation). We broaden this conceptualization to include (a) old as well as new similar…
Descriptors: Recall (Psychology), Accuracy, Cues, Cognitive Processes
Seo, Michael; Furukawa, Toshi A.; Karyotaki, Eirini; Efthimiou, Orestis – Research Synthesis Methods, 2023
Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…
Descriptors: Prediction, Models, Patients, Data Analysis
Nursenem Sari; Ozan Çetiner; Ruken Çelik; Beste Erdinç; Yusuf Akyil; Süleyman Akçil – International Journal of Modern Education Studies, 2025
Taking into account the individual contributions of family relationships for wellbeing and resilience is highly important to the development of healthy individuals, families, and society. The aim of this research was to explore the links between parental resilience and awareness, and adolescents' relative deprivation and wellbeing using the…
Descriptors: Parent Child Relationship, Well Being, Resilience (Psychology), Adolescents
Andrew Martin Yates – ProQuest LLC, 2024
Christian higher education has always been a developing enterprise, and leaders predict an unprecedented rate of change in the near future. Such scale of change poses an existential threat to modern Christian higher education efforts, heightening the value of crisis leadership and related competencies. These institutions and the leaders who guide…
Descriptors: Higher Education, Change Agents, Resilience (Psychology), Leadership Role
Miguel Eduardo Uribe-Moreno; Iván Felipe Medina-Arboleda; Alfredo Guzmán-Rincón; Suelen Emilia Castiblanco-Moreno – International Journal of Educational Psychology, 2024
Grit, the passion for achieving long-term goals, has been conceived as a two-dimensional construct (Consistency of interest and Perseverance of effort). The construct is well known for its easy measurement and its relationship with performance, including academic performance. However, there have been different criticisms, such as the overlap of…
Descriptors: Academic Achievement, Psychometrics, Measures (Individuals), Resilience (Psychology)
Annis, Jeffrey; Palmeri, Thomas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
The development of visual expertise is accompanied by enhanced visual object recognition memory within an expert domain. We aimed to understand the relationship between expertise and memory by modeling cognitive mechanisms. Participants with a measured range of birding expertise were recruited and tested on memory for birds (expert domain) and…
Descriptors: Long Term Memory, Short Term Memory, Visual Perception, Expertise
Bui, Ngoc Van P. – ProQuest LLC, 2022
This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…
Descriptors: Artificial Intelligence, At Risk Students, Prediction, Data Science
Magee, Kelsey E.; Connell, Arin; Hipwell, Alison E.; Shaw, Daniel; Westling, Erika; Keenan, Kate; Stormshak, Elizabeth; Ha, Thao; Stepp, Stephanie – Prevention Science, 2023
Integrative data analysis (IDA) was used to derive developmental models of depression, externalizing problems, and self-regulatory processes in three prevention trials of the Family Check-Up and one longitudinal, community-based study of girls over a 10-year span covering early to late adolescence (N = 4,773; 74.9% female, 41.7% white). We used…
Descriptors: Prediction, Inhibition, Longitudinal Studies, Scores
Grimm, Kevin J.; Helm, Jonathan; Rodgers, Danielle; O'Rourke, Holly – New Directions for Child and Adolescent Development, 2021
Developmental researchers often have research questions about cross-lag effects--the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its…
Descriptors: Comparative Analysis, Developmental Psychology, Prediction, Research Methodology
Lea Dickhäuser; Christine Koddebusch; Christiane Hermann – Journal of College Student Mental Health, 2024
As stress in students has increased in the last years, factors predicting stress need to be investigated. The aim of the present study was to replicate previous findings using the demand-control model and to examine the role of emotional distress in a transactional model (inspired by Lazarus' transactional stress model). "Stress, mental…
Descriptors: Prediction, Stress Variables, Validity, Models
Chun Wang; Ruoyi Zhu; Gongjun Xu – Grantee Submission, 2022
Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step to ensure items behavior the same across groups. Currently, the majority DIF studies focus…
Descriptors: Models, Item Response Theory, Item Analysis, Comparative Analysis
Castela, Marta; Erdfelder, Edgar – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The recognition heuristic (RH) theory predicts that, in comparative judgment tasks, if one object is recognized and the other is not, the recognized one is chosen. The memory-state heuristic (MSH) extends the RH by assuming that choices are not affected by recognition judgments per se, but by the memory states underlying these judgments (i.e.,…
Descriptors: Memory, Heuristics, Recognition (Psychology), Hypothesis Testing
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge