Ad A. Vermulst

Clinical Psychology · 2002–2010

A researcher in the Science corpus: 9 papers; trusts 20 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Ad A. Vermulst trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Robert Goodman
  2. S. Harter
  3. D. Bandalos
  4. K. V. Petrides
  5. Jacquelynne S. Eccles
  6. Mark D. Griffiths
  7. Jerald J. Block
  8. Kathleen V. Hoover-dempsey
  9. Andy Field
  10. Danielle N. Pappas

Who trusts Ad A. Vermulst overall

  1. Scott E. Caplan
  2. Daria J. Kuss
  3. Jean-Christophe Meunier
  4. R. Seginer
  5. Mark D. Griffiths
  6. Yu-Ru Hsu
  7. Aviv Weinstein
  8. I. Baetens
  9. Jung‐Sook Lee
  10. Joël Billieux

Papers from Ad A. Vermulst's perspective

Ordered by how strongly the researchers Ad A. Vermulst trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Perceived Competence Scale for Children
  2. Internet Paradox Revisited
  3. The Development and Well-Being Assessment: description and initial validation of an integrated assessment of child and adolescent psychopathology. (Journal of Child Psychology and Psychiatry and Allied Disciplines)
  4. Item parceling issues in structural equation modeling
  5. Internet Addiction: A Review of Current Assessment Techniques and Potential Assessment Questions (Cyberpsychology, Behavior, and Social Networking)
  6. Twenty years' research on peer victimization and psychosocial maladjustment: a meta-analytic review of cross-sectional studies. (Journal of Child Psychology and Psychiatry and Allied Disciplines)
  7. Predicting type of psychiatric disorder from Strengths and Difficulties Questionnaire (SDQ) scores in child mental health clinics in London and Dhaka (European Child and Adolescent Psychiatry)
  8. Internet Use and Well-Being in Adolescence
  9. We Know Some Things: Parent-Adolescent Relationships in Retrospect and Prospect.
  10. The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling

Their papers