What is he best known for?
The fields of study he is best known for:
- Statistics
- Cognition
- Social psychology
His primary areas of study are Developmental psychology, Clinical psychology, Statistics, Multilevel model and Mathematics education.
His Developmental psychology study integrates concerns from other disciplines, such as Intervention, Dysfunctional family and Personality.
His work deals with themes such as Externalization and Child rearing, which intersect with Clinical psychology.
When carried out as part of a general Statistics research project, his work on Linear regression, Linear model, Resampling and Statistical hypothesis testing is frequently linked to work in Statistical analysis, therefore connecting diverse disciplines of study.
His Multilevel model research is multidisciplinary, incorporating elements of Longitudinal study, Heteroscedasticity, Data mining and Single-subject design.
Patrick Onghena focuses mostly in the field of Mathematics education, narrowing it down to topics relating to Pedagogy and, in certain cases, Algebra.
His most cited work include:
- Antidepressant-induced analgesia in chronic non-malignant pain: a meta-analysis of 39 placebo-controlled studies. (467 citations)
- Improving the effectiveness of peer feedback for learning (306 citations)
- Reduction of pain-related fear in complex regional pain syndrome type I: The application of graded exposure in vivo. (211 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Developmental psychology, Statistics, Mathematics education, Clinical psychology and Multilevel model.
His work carried out in the field of Developmental psychology brings together such families of science as Psychosocial and Social psychology.
His studies in Statistics integrate themes in fields like Meta-analysis, Randomization and Econometrics.
His work in Mathematics education is not limited to one particular discipline; it also encompasses Pedagogy.
Clinical psychology is frequently linked to Psychiatry in his study.
He most often published in these fields:
- Developmental psychology (16.26%)
- Statistics (16.26%)
- Mathematics education (11.93%)
What were the highlights of his more recent work (between 2014-2021)?
- Statistics (16.26%)
- Multilevel model (9.88%)
- Multimethodology (3.09%)
In recent papers he was focusing on the following fields of study:
Patrick Onghena mostly deals with Statistics, Multilevel model, Multimethodology, Clinical psychology and Single-subject design.
His study on Statistics is mostly dedicated to connecting different topics, such as Meta-analysis.
His studies link Developmental psychology with Multilevel model.
His Multimethodology research incorporates themes from Management science and Applied psychology.
His research integrates issues of Psychological intervention, Scale, Intellectual disability and Autism, Autism spectrum disorder in his study of Clinical psychology.
His Single-subject design research integrates issues from Design of experiments, Single-subject research, Data mining, Randomization and Data science.
Between 2014 and 2021, his most popular works were:
- Expose or protect? A randomized controlled trial of exposure in vivo vs pain-contingent treatment as usual in patients with complex regional pain syndrome type 1 (60 citations)
- The Relationship Between Parental Expressed Emotions and Non-suicidal Self-injury: The Mediating Roles of Self-criticism and Depression (58 citations)
- Using Mixed Methods Research Synthesis for Literature Reviews (32 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Cognition
- Social psychology
His main research concerns Multilevel model, Single-subject design, Statistics, Resampling and Randomization.
Patrick Onghena interconnects Longitudinal study, Data mining and Quality of life in the investigation of issues within Multilevel model.
Patrick Onghena is studying Statistical hypothesis testing, which is a component of Statistics.
His work deals with themes such as N of 1 trial and Type I and type II errors, which intersect with Resampling.
His Randomization research is multidisciplinary, incorporating elements of Neuropathic pain, Systematic search and Physical therapy.
The various areas that he examines in his Developmental psychology study include Social learning theory and Self.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
