213 research outputs found
Effects of respondent training on self-report personality assessment: an item response theory approach
No full textWithin the item response theory (IRT) framework and inspired by the rater training literature, this study explored the effects of short online respondent training on personality item interpretation and responding and the number of response categories (i.e. polytomous vs. dichotomous) on item performance, model-data fit, and criterion-related validity. Participants recruited from MTurk (n = 1977) were randomly assigned to 1 of the 4 groups differing in training (i.e. training vs. no training) and response scale (i.e. 4-point Likert scale vs. dichotomous), and their responses to dominance and ideal-point personality measures were analyzed with GGUM, SGR, and 2PL. Results indicated that training was associated with more well-performing and more discriminating and informative intermediate items on the ideal-point scales when a dichotomous response scale was used. The dichotomous scale in general was related to better fit, while criterion-related validity stayed unaffected by both training and the response scale. Participants reported that they had been confused about personality items before, and were positive about the online training, which was consistent with the finding that trained participants on average spent 32 seconds less finishing the ideal-point surveys. Implications for future research and practice are discussed.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01The student, Luyao Zhang, accepted the attached license on 2018-11-16 at 19:22.The student, Luyao Zhang, submitted this Dissertation for approval on 2018-11-16 at 19:33.This Dissertation was approved for publication on 2018-11-26 at 09:23.DSpace SAF Submission Ingestion Package generated from Vireo submission #13094 on 2019-02-08 at 11:39:03Made available in DSpace on 2019-02-08T18:39:46Z (GMT). No. of bitstreams: 3
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Previous issue date: 2018-11-26Embargo set by: Seth Robbins for item 109939
Lift date: 2021-02-08T18:40:00Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109939
Lift date: 2021-02-08T18:42:23Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109939
Lift date: 2021-02-08T18:43:54Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109939
Lift date: 2021-02-08T18:44:50Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 109939 on 2021-02-09T10:15:38Z
Measurement equivalence of the Comprehensive Personality Scales across cultures: an item response theory approach
No full textWithin the item response theory (IRT) framework, this study compared cross-culturally different approaches to the assessment of differential item functioning (DIF) in two personality tests of the Comprehensive Personality Scale (Wang, 2013). A dominance IRT model (SGRM) and an ideal point model (the GGUM) were applied within the NHST paradigm, due to the debate over which is the more appropriate model for personality research. Nye’s (2011) DIF effect size measure was also used in the current study to overcome the oversensitivity of NHST to large sample size. Participants from the U.S. (n = 861) and China (n = 1023) responded to two personality scales from the CPS: the Well-being scale, and the Curiosity scale. Results indicated that SGR was applicable for DIF assessment, but the NHST paradigm was so sensitive to large samples that even trivial DIF could be significant. GGUM failed to work in the DIF analyses due to ill-conditioned matrices. The DIF effect size measure compensated for the NHST method by providing the magnitude of DIF. Implications for future research and practice are discussed.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Luyao Zhang, accepted the attached license on 2017-03-07 at 14:03.The student, Luyao Zhang, submitted this Thesis for approval on 2017-03-07 at 14:06.This Thesis was approved for publication on 2017-03-07 at 16:11.DSpace SAF Submission Ingestion Package generated from Vireo submission #10567 on 2017-08-10 at 14:29:33Made available in DSpace on 2017-08-10T19:51:37Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-03-07Embargo set by: Colleen Fallaw for item 102591
Lift date: 2019-08-10T21:25:30Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 102591 on 2019-08-11T09:15:09Z
Parallel session 4 :Teaching and learning innovations
No full textPresented Titles: Higher Education and COVID-19: Is Hybrid Teaching/Learning the Solution? [Author: Francis Arthur-Holmes] Technology-enabled Teaching and Learning in COVID-19: Implication for Professional Development in Hong Kong’s Post-secondary Colleges [Authors: Beatrice Yan-yan Dang; Hayes Hei-hang Tang; Joanna WY Yeung] Hybrid Learning: Online Learning in a Residential Environment [Authors: Ying Xiong; Jingduo Bi] Hybrid Education and Collaborative Learning: A Natural Experiment During COVID-19 [Authors: Luyao Zhang; Ying Xiong; Jiaxin Wu] Catching Teachers Off Guard from Remote Learning: An Implication of Innovative Teaching Training in Hong Kong [Authors: Derek Wai-sun Chun; Siu-ho Yau; Wai-man Chan
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Search for the Optimum Variance Components Estimates in Mixed Effects Models
No full textThis dissertation aims at searching for the optimum variance components estimates in the mixed-effects model. Traditional estimation methods of the variance components include the analysis of variance/method of moment (ANOVA/MoM) estimation, which is the optimum estimation (OPE) when the data are balanced, the maximum likelihood estimation (MLE) and the restricted maximum likelihood estimation (REMLE). However, when the data have small sample sizes and unbalanced structures, the optimum estimates do not exist, ML estimates are biased, MLE and REMLE cannot provide the closed-form expressions of the estimates to study their small-sample statistical properties. To solve those problems, we proposed the near optimum estimation (NOPE) method and the average optimum estimation (AOPE) method when the data are unbalanced in DOE. When estimating the variance components and a linear function of variance components in SAE, we proposed methods of finding the unbiased quadratic estimators with smaller variances than the corresponding MoM estimators. We presented simulation studies to evaluate the estimation performance of our proposed methods and compare them with MoM, ML and REML. All of our proposed estimators have closed-form expressions and do not require the functional form in the distributional assumptions
The importance of fraud detection techniques from the Enron case and the T.J. Maxx data breach
No full textThis thesis examines the issue of fraud detection and its causes and solutions. After a description of two fraudulent cases Enron scandal (internal fraud), and T.J. Maxx Data Breach (external fraud), it discusses the causes of these two fraud cases using Cressey’s “fraud triangle” theory and Albrecht’s three-stage theory. It then describes various fraud detection techniques in internal and external fraud. Finally, the recommendations for the improvements of both internal and external fraud detection systems are explained
Online Item Response Theory (OIRT) - Tracking Student Abilities in Online Learning System
No full textIn this study, we proposed an Online Item Response Theory Model (OIRT) by combining the Item Response Theory and Performance Factor Analysis (PFA) models. We fitted the proposed model with modified Variational Inference (VI) to perform real-time student
and item parameter estimation using both simulated data and real time series data collected from an online adaptive learning environment. Results showed that modified VI parameter estimation method outperformed other Bayesian parameter estimation methods in efficiency and accuracy. We also demonstrated that OIRT tracked students' ability growth
dynamically and efficiently, it also predicted students' future performance with reasonable AUC given limited input features
A semi-quantitative methodology for risk assessment of university chemical laboratory
No full textUniversity chemical laboratory is a high-risk place for teaching and scientific research due to the presence of various physical and chemical hazards. In recent years, university chemical laboratory accidents occur frequently. This urges the need to enhance university chemical lab safety. A semi-quantitative methodology comprising Matter-Element Extension Theory (MEET) implemented with Combination Ordered Weighted Averaging (C-OWA) operator is proposed to assess the risk of a university chemical laboratory. First, an index-based risk assessment system of university chemical laboratory is built by identifying various risk factors from a system perspective. Then, C-OWA operator is used to calculate the weight of assessment indices, whereas MEET is employed to determine the correlation degree of assessment indices. Finally, the comprehensive risk of university chemical laboratories is assessed, and some safety measures are proposed to reduce the risk of university chemical laboratories. The applicability of the proposed methodology is tested using a practical case. It is observed that the methodology can be a useful tool for risk assessment and management of university chemical laboratories.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc
Mapping the research landscape of Mild Cognitive Impairment in Parkinson’s disease: a bibliometric and visualization analysis
No full textBackgroundMild Cognitive Impairment in Parkinson’s disease, a common non-motor symptom of Parkinson’s disease, significantly impacts individuals’ quality of life and predicts dementia risk, underscoring its clinical research importance. This study aimed to characterize the global bibliometric landscape and identify research hotspots, knowledge gaps, and future trends in the PD-MCI field over the past two decades using bibliometric and visualization methods.MethodsLiterature related to PD-MCI published between 2005 and 2024 was retrieved from the Web of Science Core Collection database. Tools such as CiteSpace and VOSviewer were employed for visual analysis of annual publication volume, country/institutional distribution, author collaborations, journal co-citations, and keyword co-occurrence and bursts, constructing knowledge maps.ResultsMild cognitive impairment in Parkinson’s disease research demonstrated significant growth, with sustained increases in annual publication volume and citation frequency. The United States dominated the field, while research output from countries like China grew rapidly. Research hotspots evolved from early explorations of molecular mechanisms toward clinical and translational studies focusing on neuroimaging, biomarkers, application of MDS diagnostic criteria, non-motor symptoms, and cognitive subtypes. Recently, machine learning, multi-omics integration, neuroinflammation, and mitochondrial function have emerged as new frontiers.ConclusionMild cognitive impairment in Parkinson’s disease research has progressed from basic mechanism exploration to a multidisciplinary, integrated clinical-basic stage, following an evolutionary path of “pathological mechanism - clinical phenotype - biomarker - intervention strategy.” Future research should focus on unifying diagnostic criteria, deepening understanding of multifactorial pathological mechanisms, developing precise biomarker combinations, and exploring individualized intervention strategies to achieve early warning and disease modification for PD-MCI
Supporting information for: "Diastereomeric Fullerene Composite Engineering for Enhanced Perovskite Solar Cells"
No full textAchieving high performance and long-term stability in perovskite solar cells (PSCs) typically requires the use of surface passivation layers to suppress the interfacial defects. However, these additional passivation agents often introduce chemical and structural instabilities, limiting the device lifetime. Here, we present a molecular engineering strategy utilizing a chiral series of C60-Furan-Sugar (CFS) fullerene derivatives blended with [6,6]-phenyl-C61-butyric acid methyl ester (PCBM) to modify the electron transport layer (ETL). The incorporation of CFSs significantly enhances the electron mobility and dielectric constant of the ETL, while their intrinsic passivation functionality effectively passivates perovskite surface defects. As a result, PSCs employing PCBM:CFS-RS blends achieve a power conversion efficiency (PCE) of 25.81% without the use of additional passivation layers and retain 95% of their initial performance after 1000 h of aging. Notably, CFS-RS is a chiral molecule bearing a side chain with R/S configurational isomers, which facilitates interfacial compatibility and contributes to the enhanced device performance. This work demonstrates that tuning the orientation of polar substituents in fullerene side chains can effectively influence the optoelectronic properties of the blended films, thereby simultaneously enhancing both efficiency and stability in PSCs.The supporting information for: Wu, Jianchang; Zhang, Jiyun; Wang, Luyao; Jakšić, Jovana; Barabash, Anastasia; Veljković, Dušan; Bornschlegl, Andreas J.; Jovanov, Vladislav; Lahn, Leopold; Kasian, Olga; Pérez-Ojeda, M. Eugenia; Götz, Klaus; Unruh, Tobias; Li, Chaohui; Peng, Zijian; Wang, Yunuo; Hauch, Jens A.; Deng, Lin-Long; Maslak, Veselin; Mitrović, Aleksandra; Li, Gang; Brabec, Christoph J.. (2025). Diastereomeric Fullerene Composite Engineering for Enhanced Perovskite Solar Cells. in Journal of the American Chemical Society., 147, 35, 32045-32053. [https://pubs.acs.org/doi/10.1021/jacs.5c10340]Published article: [https://cherry.chem.bg.ac.rs/handle/123456789/7281
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