Valerie Chan
Biographic Data
| ID | 7937147 |
|---|---|
| NAME | Valerie Chan |
| GIVEN NAMES | Valerie |
| FAMILY NAME | Chan |
| SIGNATURE | CHAN V |
| AFFILIATIONS | National University of Singapore |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Finding Joy in Communication with Families
Family engagement is a strong predictor of children’s academic success and communication is a key component of engagement (McWayne et al., 2016). Yet, little research has focused on families’ and schools’ communication practices. This inquiry focused on three K-12 teachers and considers the joyful opportunities afforded in their home-school communication. By engaging in Narrative Inquiry, we unravel the participant teachers’ experiences and prefe…
Where-There-Is-No-Psychiatrist Integrated Personal Therapy” among Community-Dwelling Older Adults
In Singapore, many older adults suffer from subsyndromal depression and/or subsyndromal anxiety, which can negatively impact their physical and mental well-being if left untreated. Due to the general public's reluctance to seek psychological help and the low psychiatrist-to-population ratio in Singapore, this study aims to examine the preliminary efficacy, perceptions, and acceptability of a trained volunteer-led community-based intervention on c…
Regression Modeling and Meta-Analysis for Decision Making
Regression models are often used, explicitly or implicitly, for decision making. However, the choices made in setting up the models (e.g., inclusion of predictors based on statistical significance) do not map directly into decision procedures. Bayesian inference works more naturally with decision analysis but presents problems in practice when noninformative prior distributions are used with sparse data. We do not attempt to provide a general sol…
No prominent works on this page.
Regression Modeling and Meta-Analysis for Decision Making
Regression models are often used, explicitly or implicitly, for decision making. However, the choices made in setting up the models (e.g., inclusion of predictors based on statistical significance) do not map directly into decision procedures. Bayesian inference works more naturally with decision analysis but presents problems in practice when noninformative prior distributions are used with sparse data. We do not attempt to provide a general sol…
Where-There-Is-No-Psychiatrist Integrated Personal Therapy” among Community-Dwelling Older Adults
In Singapore, many older adults suffer from subsyndromal depression and/or subsyndromal anxiety, which can negatively impact their physical and mental well-being if left untreated. Due to the general public's reluctance to seek psychological help and the low psychiatrist-to-population ratio in Singapore, this study aims to examine the preliminary efficacy, perceptions, and acceptability of a trained volunteer-led community-based intervention on c…
Finding Joy in Communication with Families
Family engagement is a strong predictor of children’s academic success and communication is a key component of engagement (McWayne et al., 2016). Yet, little research has focused on families’ and schools’ communication practices. This inquiry focused on three K-12 teachers and considers the joyful opportunities afforded in their home-school communication. By engaging in Narrative Inquiry, we unravel the participant teachers’ experiences and prefe…
Psychology (2 works) · Aging and Gerontology Research (1 work) · Anxiety (1 work) · Art Therapy and Mental Health (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work)