Margot Bennink
Biographic Data
| ID | 84185 |
|---|---|
| NAME | Margot Bennink |
| GIVEN NAMES | Margot |
| FAMILY NAME | Bennink |
| SIGNATURE | BENNINK M |
| AFFILIATIONS | Tilburg University, Tilburg, Netherlands |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Stepwise Latent Class Models for Explaining Group-Level Outcomes Using Discrete Individual-Level Predictors
Explaining group-level outcomes from individual-level predictors requires aggregating the individual-level scores to the group level and correcting the group-level estimates for measurement errors in the aggregated scores. However, for discrete variables it is not clear how to perform the aggregation and correction. It is shown how stepwise latent class analysis can be used to do this. First, a latent class model is estimated in which the scores …
Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis of the Dutch European Values Survey 2008
Can existing longitudinal surveys profit from the (financial) advantages of web surveying by switching survey mode from face-to-face interviews to web surveys? Before such a radical change in data collection procedure can be undertaken, it needs to be established that mode effects cannot confound the responses to the survey items. To this end, the responses of the Dutch European Values Study of 2008 were compared to the responses of a time parall…
Micro-Macro Multilevel Analysis for Discrete Data: A Latent Variable Approach and an Application on Personal Network Data
A multilevel regression model is proposed in which discrete individual-level variables are used as predictors of discrete group-level outcomes. It generalizes the model proposed by Croon and van Veldhoven for analyzing micro-macro relations with continuous variables by making use of a specific type of latent class model. A first simulation study shows that this approach performs better than more traditional aggregation and disaggreagtion procedur…
Micro-Macro Multilevel Analysis for Discrete Data: A Latent Variable Approach and an Application on Personal Network Data
A multilevel regression model is proposed in which discrete individual-level variables are used as predictors of discrete group-level outcomes. It generalizes the model proposed by Croon and van Veldhoven for analyzing micro-macro relations with continuous variables by making use of a specific type of latent class model. A first simulation study shows that this approach performs better than more traditional aggregation and disaggreagtion procedur…
Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis of the Dutch European Values Survey 2008
Can existing longitudinal surveys profit from the (financial) advantages of web surveying by switching survey mode from face-to-face interviews to web surveys? Before such a radical change in data collection procedure can be undertaken, it needs to be established that mode effects cannot confound the responses to the survey items. To this end, the responses of the Dutch European Values Study of 2008 were compared to the responses of a time parall…
Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis of the Dutch European Values Survey 2008
Can existing longitudinal surveys profit from the (financial) advantages of web surveying by switching survey mode from face-to-face interviews to web surveys? Before such a radical change in data collection procedure can be undertaken, it needs to be established that mode effects cannot confound the responses to the survey items. To this end, the responses of the Dutch European Values Study of 2008 were compared to the responses of a time parall…
Micro-Macro Multilevel Analysis for Discrete Data: A Latent Variable Approach and an Application on Personal Network Data
A multilevel regression model is proposed in which discrete individual-level variables are used as predictors of discrete group-level outcomes. It generalizes the model proposed by Croon and van Veldhoven for analyzing micro-macro relations with continuous variables by making use of a specific type of latent class model. A first simulation study shows that this approach performs better than more traditional aggregation and disaggreagtion procedur…
Stepwise Latent Class Models for Explaining Group-Level Outcomes Using Discrete Individual-Level Predictors
Explaining group-level outcomes from individual-level predictors requires aggregating the individual-level scores to the group level and correcting the group-level estimates for measurement errors in the aggregated scores. However, for discrete variables it is not clear how to perform the aggregation and correction. It is shown how stepwise latent class analysis can be used to do this. First, a latent class model is estimated in which the scores …
Computer Science (3 works) · Mathematics (3 works) · Statistics (3 works) · Advanced Causal Inference Techniques (2 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Class (philosophy) (2 works) · Econometrics (2 works) · Latent class model (2 works) · Latent variable (2 works)