Mathilde G E Verdam
Biographic Data
| ID | 6694268 |
|---|---|
| NAME | Mathilde G E Verdam |
| GIVEN NAMES | Mathilde G E |
| FAMILY NAME | Verdam |
| SIGNATURE | VERDAM M G E |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0000-0002-2479-8817 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Power analyses for measurement model misspecification and response shift detection with structural equation modeling
By providing accessible resources to perform power analyses and emphasizing the different power analyses associated with different modeling goals, we hope to facilitate the uptake of power analyses for response shift detection with SEM and thereby enhance the stringency of response shift research
The Video Engagement Scale (VES)
The Video Engagement Scale (VES) is a quality indicator to assess engagement in experimental video-vignette studies, but its measurement properties warrant improvement. Data from previous studies were combined (N = 2676) and split into three subsamples for a stepped analytical approach. We tested construct validity, criterion validity, reliability, and measurement invariance. Confirmatory factor analysis (CFA) reiterated poor fit of the previousl…
Response shift after coronary revascularization
Results indicate response shift in HRQoL following coronary revascularization. While we did not find an impact of response shift on the estimates of change, the SEM approach provides a more comprehensive insight into the different types of change in HRQoL following coronary revascularization
Using structural equation modeling to investigate change and response shift in patient-reported outcomes
Background Patient-reported outcomes (PROs) are of increasing importance for health-care evaluations. However, the interpretation of change in PROs may be obfuscated due to changes in the meaning of the self-evaluation, i.e., response shift. Structural equation modeling (SEM) is the most widely used statistical approach for the investigation of response shift. Yet, non-technical descriptions of SEM for response shift investigation are lacking. Mo…
Critical examination of current response shift methods and proposal for advancing new methods
No single response shift method is optimal; each method has strengths and limitations. Additionally, extra steps need to be taken to correctly interpret the results. Advancing new methods and conducting computer simulation studies that compare methods are recommended to move response shift research forward
The Analysis of Multivariate Longitudinal Data
Structural equation modeling is a common technique to assess change in longitudinal designs. However, these models can become of unmanageable size with many measurement occasions. One solution is the imposition of Kronecker product restrictions to model the multivariate longitudinal structure of the data. The resulting longitudinal three-mode models (L3MMs) are very parsimonious and have attractive interpretation. This paper provides an instructi…
The Role of Health Literacy in Explaining the Relation between Educational Level and Decision Making about Colorectal Cancer Screening
Little is known about why educational inequalities exist in informed decision making in colorectal cancer (CRC) screening. Insight into the role and impact of health literacy is essential for intervention development. This study investigates associations between health literacy and informed decision making in CRC screening and explores to what extent health literacy mediates the association between education and informed decision making in CRC sc…
Trust and Perceptions of Physicians’ Nonverbal Behavior Among Women with Immigrant Backgrounds
Previous findings suggest immigrant patients have lower trust in their physicians, and perceive nonverbal communication differently compared to non-immigrant patients. We tested discrepancies in trust and the impact of non-verbal behavior between immigrants and non-immigrants in The Netherlands. Nonverbal communication of an oncologist was systematically varied in an experimental video vignettes design. Breast cancer patients (n = 34) and healthy…
Item bias detection in the Hospital Anxiety and Depression Scale using structural equation modeling
SEM provides a flexible tool for the investigation of item bias in health-related questionnaires. Multidimensional SEM has practical and statistical advantages over multigroup SEM, and over other item bias detection methods, as it enables item bias detection with respect to multiple variables, of various measurement levels, and with more statistical power, ultimately providing more valid comparisons of patients' well-being in both research and cl…
Using structural equation modeling to detect response shifts and true change in discrete variables
The proposed SEM approach to discrete data enables response shift detection at the item level. This will lead to a better understanding of the response shift phenomena at the item level and therefore enhances interpretation of change in the area of HRQL
Method variation in the impact of missing data on response shift detection
Taking into account the impact of attrition on the assessment of response shift and true change
Guidelines for secondary analysis in search of response shift
Significance, truth and proof of p values
No prominent works on this page.
Guidelines for secondary analysis in search of response shift
Significance, truth and proof of p values
Method variation in the impact of missing data on response shift detection
Taking into account the impact of attrition on the assessment of response shift and true change
Using structural equation modeling to detect response shifts and true change in discrete variables
The proposed SEM approach to discrete data enables response shift detection at the item level. This will lead to a better understanding of the response shift phenomena at the item level and therefore enhances interpretation of change in the area of HRQL
Item bias detection in the Hospital Anxiety and Depression Scale using structural equation modeling
SEM provides a flexible tool for the investigation of item bias in health-related questionnaires. Multidimensional SEM has practical and statistical advantages over multigroup SEM, and over other item bias detection methods, as it enables item bias detection with respect to multiple variables, of various measurement levels, and with more statistical power, ultimately providing more valid comparisons of patients' well-being in both research and cl…
Trust and Perceptions of Physicians’ Nonverbal Behavior Among Women with Immigrant Backgrounds
Previous findings suggest immigrant patients have lower trust in their physicians, and perceive nonverbal communication differently compared to non-immigrant patients. We tested discrepancies in trust and the impact of non-verbal behavior between immigrants and non-immigrants in The Netherlands. Nonverbal communication of an oncologist was systematically varied in an experimental video vignettes design. Breast cancer patients (n = 34) and healthy…
The Analysis of Multivariate Longitudinal Data
Structural equation modeling is a common technique to assess change in longitudinal designs. However, these models can become of unmanageable size with many measurement occasions. One solution is the imposition of Kronecker product restrictions to model the multivariate longitudinal structure of the data. The resulting longitudinal three-mode models (L3MMs) are very parsimonious and have attractive interpretation. This paper provides an instructi…
The Role of Health Literacy in Explaining the Relation between Educational Level and Decision Making about Colorectal Cancer Screening
Little is known about why educational inequalities exist in informed decision making in colorectal cancer (CRC) screening. Insight into the role and impact of health literacy is essential for intervention development. This study investigates associations between health literacy and informed decision making in CRC screening and explores to what extent health literacy mediates the association between education and informed decision making in CRC sc…
Response shift after coronary revascularization
Results indicate response shift in HRQoL following coronary revascularization. While we did not find an impact of response shift on the estimates of change, the SEM approach provides a more comprehensive insight into the different types of change in HRQoL following coronary revascularization
Using structural equation modeling to investigate change and response shift in patient-reported outcomes
Background Patient-reported outcomes (PROs) are of increasing importance for health-care evaluations. However, the interpretation of change in PROs may be obfuscated due to changes in the meaning of the self-evaluation, i.e., response shift. Structural equation modeling (SEM) is the most widely used statistical approach for the investigation of response shift. Yet, non-technical descriptions of SEM for response shift investigation are lacking. Mo…
Critical examination of current response shift methods and proposal for advancing new methods
No single response shift method is optimal; each method has strengths and limitations. Additionally, extra steps need to be taken to correctly interpret the results. Advancing new methods and conducting computer simulation studies that compare methods are recommended to move response shift research forward
The Video Engagement Scale (VES)
The Video Engagement Scale (VES) is a quality indicator to assess engagement in experimental video-vignette studies, but its measurement properties warrant improvement. Data from previous studies were combined (N = 2676) and split into three subsamples for a stepped analytical approach. We tested construct validity, criterion validity, reliability, and measurement invariance. Confirmatory factor analysis (CFA) reiterated poor fit of the previousl…
Power analyses for measurement model misspecification and response shift detection with structural equation modeling
By providing accessible resources to perform power analyses and emphasizing the different power analyses associated with different modeling goals, we hope to facilitate the uptake of power analyses for response shift detection with SEM and thereby enhance the stringency of response shift research
Medicine (10 works) · Psychology (9 works) · Mathematics (8 works) · Statistics (8 works) · Computer Science (7 works) · Structural equation modeling (6 works) · Mental Health Research Topics (5 works) · Public health (5 works) · Quality of Life Research (5 works) · Data mining (4 works)