Meng Qiu
Biographic Data
| ID | 4626061 |
|---|---|
| NAME | Meng Qiu |
| GIVEN NAMES | Meng |
| FAMILY NAME | Qiu |
| SIGNATURE | QIU M |
| AFFILIATIONS | University of Notre Dame |
| ORCID | 0009-0009-3897-7347 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Class Selection in Growth Mixture Models
Impact of Electronic Word-of-Mouth Dispersion on Tourists' Purchase Intentions for Local Food Restaurants
Electronic word-of-mouth (eWOM) dispersion often increases perceived risk and reduces purchase intention; however, a high dispersion of eWOM regarding local food may have different effects on tourists. This study explores how eWOM dispersion influences tourists’ purchase intentions for local food. We find that high eWOM dispersion actually stimulates tourists’ curiosity, thereby enhancing their intention to purchase local food. This effect is mod…
Label Switching in Latent Class Analysis
Latent class analysis (LCA) is a widely used technique for detecting unobserved population heterogeneity in cross-sectional data. Despite its popularity, the performance of LCA is not well understood. In this study, we evaluate the performance of LCA with binary data by examining classification accuracy, parameter estimation accuracy, and coverage rates of confidence intervals (CIs) through Monte Carlo simulation studies. We address the issue of …
Mixture model applications in depression phenotyping
Covid-19 pandemic stress, tolerance of uncertainty and well-being for persons with and without cancer
Stress related to the COVID-19 pandemic has implications for mental and physical well-being, but especially for persons with cancer. The stress mitigating role of tolerance of uncertainty (TU) was investigated in those with and without a cancer diagnosis. DESIGN: 155 persons with and 150 without a cancer diagnosis completed measures of pandemic stress and TU (mediating variable). MAIN OUTCOME MEASURES: Measures of emotional and physical well-bein…
Bayesian Nonparametric Latent Class Analysis for Different Item Types
Latent class analysis (LCA) is a popular statistical method used to group individuals into homogeneous subpopulations based on the responses to a set of variables. In the conventional LCA, the numb
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Covid-19 pandemic stress, tolerance of uncertainty and well-being for persons with and without cancer
Stress related to the COVID-19 pandemic has implications for mental and physical well-being, but especially for persons with cancer. The stress mitigating role of tolerance of uncertainty (TU) was investigated in those with and without a cancer diagnosis. DESIGN: 155 persons with and 150 without a cancer diagnosis completed measures of pandemic stress and TU (mediating variable). MAIN OUTCOME MEASURES: Measures of emotional and physical well-bein…
Bayesian Nonparametric Latent Class Analysis for Different Item Types
Latent class analysis (LCA) is a popular statistical method used to group individuals into homogeneous subpopulations based on the responses to a set of variables. In the conventional LCA, the numb
Label Switching in Latent Class Analysis
Latent class analysis (LCA) is a widely used technique for detecting unobserved population heterogeneity in cross-sectional data. Despite its popularity, the performance of LCA is not well understood. In this study, we evaluate the performance of LCA with binary data by examining classification accuracy, parameter estimation accuracy, and coverage rates of confidence intervals (CIs) through Monte Carlo simulation studies. We address the issue of …
Mixture model applications in depression phenotyping
Class Selection in Growth Mixture Models
Impact of Electronic Word-of-Mouth Dispersion on Tourists' Purchase Intentions for Local Food Restaurants
Electronic word-of-mouth (eWOM) dispersion often increases perceived risk and reduces purchase intention; however, a high dispersion of eWOM regarding local food may have different effects on tourists. This study explores how eWOM dispersion influences tourists’ purchase intentions for local food. We find that high eWOM dispersion actually stimulates tourists’ curiosity, thereby enhancing their intention to purchase local food. This effect is mod…
Computer Science (3 works) · Econometrics (3 works) · Latent class model (3 works) · Mathematics (3 works) · Statistical Methods and Bayesian Inference (3 works) · Statistics (3 works) · Artificial Intelligence (2 works) · Clinical Psychology (2 works) · Genetic and phenotypic traits in livestock (2 works) · Machine learning (2 works)