90 research outputs found
Supplemental_Material – Supplemental material for Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures
No full textSupplemental material, Supplemental_Material for Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures by Xinya Liang in Educational and Psychological Measurement</p
EPM_supplements – Supplemental material for Hierarchical Bayes Approach to Estimate the Treatment Effect for Randomized Controlled Trials
No full textSupplemental material, EPM_supplements for Hierarchical Bayes Approach to Estimate the Treatment Effect for Randomized Controlled Trials by Xinya Liang, Akihito Kamata and Ji Li in Educational and Psychological Measurement</p
JPA_supplement – Supplemental material for Exploring the Impact of Q-Matrix Specifications Through a DINA Model in a Large-Scale Mathematics Assessment
No full textSupplemental material, JPA_supplement for Exploring the Impact of Q-Matrix Specifications Through a DINA Model in a Large-Scale Mathematics Assessment by Haiyan Wu, Xinya Liang, Hülya Yürekli, Betsy Jane Becker, Insu Paek and Salih Binici in Journal of Psychoeducational Assessment</p
Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods
No full textNetwork psychometrics have been getting more attention in psychopathology and measurement development. As a novel psychometric method, multiple psychometric properties of psychometric modeling have been compared to factor analysis models. However, compared to scoring in factor analysis and classical test theory, the scoring method in psychometric network modeling is not well examined. Thus, this study aims to propose novel network scoring methods and compare them to factor scores. In this study, we first proposed the general form of network scoring and conducted two simulation studies and one empirical study to examine the performance of different network scores. The results of this study suggest that non-regularized network scores performed better than regularized network scores and factor scores under certain conditions, especially non-regularized network scores with node strength and hybrid centrality. The limitations and future directions are also discussed
Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods
No full textNetwork psychometrics have been getting more attention in psychopathology and measurement development. As a novel psychometric method, multiple psychometric properties of psychometric modeling have been compared to factor analysis models. However, compared to scoring in factor analysis and classical test theory, the scoring method in psychometric network modeling is not well examined. Thus, this study aims to propose novel network scoring methods and compare them to factor scores. In this study, we first proposed the general form of network scoring and conducted two simulation studies and one empirical study to examine the performance of different network scores. The results of this study suggest that non-regularized network scores performed better than regularized network scores and factor scores under certain conditions, especially non-regularized network scores with node strength and hybrid centrality. The limitations and future directions are also discussed
The Influence of Leaders’ Positive and Implicit Followership Theory of University Scientific Research Teams on Individual Creativity: the Mediating Effect of Individual Self-Cognition and the Moderating Effect of Proactive Personality
No full textLeaders’ positive and implicit followership theory (LPIFT) in a university scientific research team influences innovation in university scientific research. Individual creativity is an important aspect of innovation in university scientific research. However, the influence mechanism of LPIFT of a university scientific research team on individual creativity remains unclear. Based on social cognitive theory and the input–process–output (IPO) theoretical model, we selected a postgraduate supervisor and postgraduates of a university scientific research team as the research objects. We explored the influence between LPIFT of a university scientific research team leader and individual creativity using a questionnaire. A total of 413 valid paired samples were collected from the postgraduate and postgraduate supervisor. We drew the following conclusions: LPIFT of the university scientific research team had a direct positive effect on individual creativity. Individual creative role identity, individual creative self-efficacy, and individual willingness to create knowledge had completely mediating effects on the relationship between LPIFT of the university scientific research team and individual creativity. Proactive personality positively moderated the relationship between LPIFT of the university scientific research team and individual creative role identity, as well as LPIFT of the university scientific research team and individual creative self-efficacy. Proactive personality also positively moderated the mediating effect of individual creative role identity and individual creative self-efficacy. However, the moderating effect of proactive personality between LPIFT of university research teams and individual willingness to create knowledge was not significant. Proactive personality also did not positively moderate the mediating effect of individual willingness to create knowledge
A investigation on unixial and quasi-biaxial tensile mechanical properties of aging HTPB propellant under dynamic loading at low temperature
No full textAn analysis of digital marketing strategy in the era of social media in China
No full textThis thesis analyzes digital marketing strategies in the era of social media in China. With the development of information technology, the gradual stabilization of China's economic growth, and the catalysis of the epidemic, advertisers need to achieve breakthroughs through more effective marketing strategies. The rise of social media undoubtedly provides opportunities.
This thesis will focus on the three digital marketing strategies: content marketing, live streaming e-commerce, and trust fission. As a marketing method that has existed since the paper media era, content marketing has been given new meanings in the social media era. In Chapter 2, this article goes back to the history of content marketing and proposes how to design content marketing based on the characteristics of content marketing in the era of social media, as well as case analysis. With the development of 4G technology and the gradual commercialization of 5G, the importance of live broadcasting has become increasingly prominent. This thesis analyzes e-commerce live streaming in Chapter3. Live streaming e-commerce is a recombination of the three elements of traditional BtoC: people, goods, and fields. Meanwhile, live streaming can use various methods to encourage consumers to make purchases during the live streaming, thereby generating a large number of instant transactions. The author points out in Chapter 4 that as centralized public domain net flow becomes increasingly expensive, advertisers urgently need to consider building and operating private domain traffic. Social media's social and media attributes are the natural platform for building private domain traffic pools, and trust fission is the key to building traffic pools and further operations. In Chapter 5, the author pointed out that the widespread influence of social media determines that the use of social media marketing does not need to prioritize the target population but achieves a wide range of influence by evaluating the demands of businesses and increasing the topicality of the advertising. Social media are characterized by the integration of sales and marketing, especially in e-commerce live streaming. The marketing strategy at this stage is decentralized.S.M
Evaluation of Structural Relationships in Autoregressive Cross-Lagged Models Under Longitudinal Approximate Invariance:A Bayesian Analysis
No full textFour-dimensional flow MRI is a potential non-invasive tool for diagnosing clinically significant portal hypertension
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