Hsiu‐Ting Yu
Biographic Data
| ID | 6540756 |
|---|---|
| NAME | Hsiu‐Ting Yu |
| GIVEN NAMES | Hsiu‐Ting |
| FAMILY NAME | Yu |
| SIGNATURE | YU H T |
| AFFILIATIONS | National Chengchi University |
| ORCID | 0000-0002-3668-8033 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Ethical Bonds Transformation in Bereaved Taiwanese Families
Ethical bonds transformation is a cultural phenomenon in Taiwanese bereaved families. When the death event occurs, the absent status of the deceased invokes spontaneous change in whole family to cope with the irreparable loss. In the present study, 283 bereaved individuals were recruited to develop the ethical bonds transformation scale. Exploratory factor analysis has generated two factors: ethical bonds and symbolic bonds. Partial correlation h…
Recommendations on the Sample Sizes for Multilevel Latent Class Models
A multilevel latent class model (MLCM) is a useful tool for analyzing data arising from hierarchically nested structures. One important issue for MLCMs is determining the minimum sample sizes needed to obtain reliable and unbiased results. In this simulation study, the sample sizes required for MLCMs were investigated under various conditions. A series of design factors, including sample sizes at two levels, the distinctness and the complexity of…
The Impact of Ignoring the Level of Nesting Structure in Nonparametric Multilevel Latent Class Models
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In the present study, a simulation study was conducted to investigate the impact of ignoring the higher-…
A Typological and Probabilistic Approach for Exploring Cross-Cultural Differences
Discrete latent constructs are useful and versatile tools when applied to theories or hypotheses typically made in cultural psychology. The two-level latent class model (TL-LCM) is proposed as an analytical framework using discrete latent variables for underlying typological structure. The typological and probabilistic characteristics of the TL-LCM offer several advantages over the traditional dimensional and deterministic models commonly used in…
Simultaneous Decision on the Number of Latent Clusters and Classes for Multilevel Latent Class Models
The Multilevel Latent Class Model (MLCM) proposed by Vermunt (2003) has been shown to be an excellent framework for analyzing nested data with assumed discrete latent constructs. The nonparametric version of MLCM assumes 2 levels of discrete latent components to describe the dependency observed in data. Model selection is an important step in any statistical modeling. The task of model selection for MLCM amounts to the decision on the number of d…
Aggregation of opinions based on correlated cues and advisors
We study the process by which decision makers (DMs) aggregate probabilistic opinions from multiple, correlated sources with a special emphasis on the determinants of the DM's confidence, which is a predictor of the DM's willingness to accept the implications of the aggregation process. Our model assumes that (a) DM combines the advisors' opinions by weighting them according to the amount of information underlying them, and (b) the DM's confidence…
A Typological and Probabilistic Approach for Exploring Cross-Cultural Differences
Discrete latent constructs are useful and versatile tools when applied to theories or hypotheses typically made in cultural psychology. The two-level latent class model (TL-LCM) is proposed as an analytical framework using discrete latent variables for underlying typological structure. The typological and probabilistic characteristics of the TL-LCM offer several advantages over the traditional dimensional and deterministic models commonly used in…
Aggregation of opinions based on correlated cues and advisors
We study the process by which decision makers (DMs) aggregate probabilistic opinions from multiple, correlated sources with a special emphasis on the determinants of the DM's confidence, which is a predictor of the DM's willingness to accept the implications of the aggregation process. Our model assumes that (a) DM combines the advisors' opinions by weighting them according to the amount of information underlying them, and (b) the DM's confidence…
Aggregation of opinions based on correlated cues and advisors
We study the process by which decision makers (DMs) aggregate probabilistic opinions from multiple, correlated sources with a special emphasis on the determinants of the DM's confidence, which is a predictor of the DM's willingness to accept the implications of the aggregation process. Our model assumes that (a) DM combines the advisors' opinions by weighting them according to the amount of information underlying them, and (b) the DM's confidence…
Simultaneous Decision on the Number of Latent Clusters and Classes for Multilevel Latent Class Models
The Multilevel Latent Class Model (MLCM) proposed by Vermunt (2003) has been shown to be an excellent framework for analyzing nested data with assumed discrete latent constructs. The nonparametric version of MLCM assumes 2 levels of discrete latent components to describe the dependency observed in data. Model selection is an important step in any statistical modeling. The task of model selection for MLCM amounts to the decision on the number of d…
A Typological and Probabilistic Approach for Exploring Cross-Cultural Differences
Discrete latent constructs are useful and versatile tools when applied to theories or hypotheses typically made in cultural psychology. The two-level latent class model (TL-LCM) is proposed as an analytical framework using discrete latent variables for underlying typological structure. The typological and probabilistic characteristics of the TL-LCM offer several advantages over the traditional dimensional and deterministic models commonly used in…
The Impact of Ignoring the Level of Nesting Structure in Nonparametric Multilevel Latent Class Models
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In the present study, a simulation study was conducted to investigate the impact of ignoring the higher-…
Recommendations on the Sample Sizes for Multilevel Latent Class Models
A multilevel latent class model (MLCM) is a useful tool for analyzing data arising from hierarchically nested structures. One important issue for MLCMs is determining the minimum sample sizes needed to obtain reliable and unbiased results. In this simulation study, the sample sizes required for MLCMs were investigated under various conditions. A series of design factors, including sample sizes at two levels, the distinctness and the complexity of…
Ethical Bonds Transformation in Bereaved Taiwanese Families
Ethical bonds transformation is a cultural phenomenon in Taiwanese bereaved families. When the death event occurs, the absent status of the deceased invokes spontaneous change in whole family to cope with the irreparable loss. In the present study, 283 bereaved individuals were recruited to develop the ethical bonds transformation scale. Exploratory factor analysis has generated two factors: ethical bonds and symbolic bonds. Partial correlation h…
Computer Science (5 works) · Econometrics (5 works) · Mathematics (5 works) · Statistics (5 works) · Artificial Intelligence (4 works) · Latent class model (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Statistical Methods and Bayesian Inference (3 works) · Bayesian Methods and Mixture Models (2 works)