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Full-Text Articles in Social and Behavioral Sciences
Examining The Effects Of Parameter Correlation And Its Implications For Models Of Learning And Retention: A Large Scale Model Validation : Examining The Effects Of Parameter Correlation And Its Implications For Models Of Learning Andretention: A Large Scale Model Validation, Michael Gordon Collins
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Mathematical models of learning and retention have long been developed in psychology for both basic and applied research. For basic research, models of learning and retention attempt to explain how individuals acquire and retain information over time. While for applied research, models of learning and retention are used to inform education and training decisions. In both of these applications, the primary purpose of using a model is to fit and predict the performance of individuals. However, little attention has been paid to the interpretation of a model’s free parameters (i.e., learning and decay rates) and the effect that a model’s …
Leadership And Secure Base, Bincy Davis
Leadership And Secure Base, Bincy Davis
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Research on Attachment theory has established the need for secure base in adulthood (e.g., Hazan & Shaver, 1990). However, few researchers have explored the importance of secure base in a work setting. The purpose of my study was to examine the relevance of secure base in the leadership process. Results from pilot research (N = 272) showed that 13 leader behaviors were positively associated with secure base. Confirmatory factor analyses revealed that 5 factors underlay these 13 leader behaviors. Results from structural equation modeling provided support for a secure base model of leader behaviors in Study 1 (N = 272 …
Investigating The Multi-Faceted Nature Of Cyberloafing Based On Job Features, Alexandria Bohn
Investigating The Multi-Faceted Nature Of Cyberloafing Based On Job Features, Alexandria Bohn
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After COVID-19, organizations have had to shift the nature of the workplace leading to increased access to personal devices and internet with remote and hybrid work environments. Over the past several years, technological advancements have allowed for employees to partake in cyberloafing behaviors. Cyberloafing is a tool in which an employee uses the internet for personal reasons during the workday. There has been a divide in the literature regarding the auspicious versus detrimental effects of cyberloafing on employee outcomes. Primarily, researchers have focused on the harm of cyberloafing, the money it costs organizations, and proper ways to reduce this employee …
Autonomy :A Modern Perspective, Riley Schwanz
Autonomy :A Modern Perspective, Riley Schwanz
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Organizational leaders want to retain employees who are healthy and motivated. Physical and mental health issues are on the rise in America for younger and older generations. Researchers have found that higher levels of autonomy relate to improved mental health, physical health, job satisfaction, performance, and the list goes on. However, a gap in the literature is a lack of understanding of the complex relationships between autonomy and outcomes, both functional and dysfunctional. I found that intrinsic motivation and autonomy support can compensate for lower levels of autonomy in one’s work. These new findings provide researchers and organizational leaders with …
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
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Item Response Trees are a type of item response model that incorporates information about conditional responding to items using a rooted tree graph structure. Researchers have used item response trees for common measurement tasks and for testing novel hypotheses. Previous simulation studies investigating item response trees either lack generalizability to the broad domain of their use or lack thorough investigation and reporting of the results. I conducted a simulation study to explore how sample size, test length, item characteristics, and tree structure affect both item and person parameter recovery for 1PL and 2PL models. The results suggested that, as with …
Development And Validation Of A Norm Violation Sexual Harassment Scale, Krista N. Harris
Development And Validation Of A Norm Violation Sexual Harassment Scale, Krista N. Harris
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Sexual harassment continues to be an important area of study. However, there’s a dearth of research regarding sexual harassment towards others that considers sex, gender, and sexual orientation. Previous research has suggested that gender harassment and heterosexist harassment are intertwined (Leskinen & Cortina, 2014), but little research has examined how the empirical and conceptual overlap of gender harassment and heterosexist harassment could allude to a more general construct, norm violation sexual harassment. Norm violation sexual harassment is an overarching construct focusing on norm violations rather than sex, gender, or sexual orientation specifically. Using two samples, my study demonstrates evidence for …
Pragmatically Appropriate Abstractive Summarization Of Jtac Radio Conversations, Spencer M. Seals
Pragmatically Appropriate Abstractive Summarization Of Jtac Radio Conversations, Spencer M. Seals
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In this work, I explore the development of computational methods for automatically creating after-action reports of JTAC radio conversations. Prior research has investigated related issues of sentence compression, text summarization, and conversation summarization (Banerjee, Mitra, & Sugiyama, 2015; Clarke & Lapata, 2008; L. Wang & Cardie, 2012; Raffel et al., 2020). However, this work makes limiting assumptions about what features are relevant to a summary and what sources of information should be included. I propose methods that combine knowledge from linguistic, procedural, and domain sources to address these limitations. Results indicate that the proposed model performs better than some of …
Short-Term Learning For Long-Term Retention : Dynamic Associative Memory, Joseph James Glavan Iv
Short-Term Learning For Long-Term Retention : Dynamic Associative Memory, Joseph James Glavan Iv
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Instead of characterizing transfer from short-term memory to long-term memory as the relocation of information from one structural system to another, I propose a theory that conceives of transfer as the learning processes that act on and transform the representations of the information itself. Dynamic Associative Memory posits that recently encoded memories are supported by active maintenance and the relevance of the current context. Over time, the current context becomes less relevant; therefore, the brain must learn contextually invariant associations between memories so that they may support themselves. I instantiated my theory in the ACT-R cognitive architecture and created a …