What is he best known for?
The fields of study he is best known for:
- Statistics
- Social psychology
- Psychiatry
Paul D. Bliese mostly deals with Social psychology, Psychiatry, Occupational stress, Mental health and Statistics.
His work on Organizational commitment, Collective efficacy and Group cohesiveness as part of general Social psychology study is frequently connected to Well-being, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Psychiatry research incorporates themes from Psychometrics and Clinical psychology.
The various areas that Paul D. Bliese examines in his Occupational stress study include Developmental psychology, Stressor, Self-efficacy and Job satisfaction.
In his study, which falls under the umbrella issue of Mental health, Psychological testing and Vigilance is strongly linked to Psychological intervention.
His study in Statistics is interdisciplinary in nature, drawing from both Econometrics and Psychomotor learning.
His most cited work include:
- Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. (2638 citations)
- Validating the Primary Care Posttraumatic Stress Disorder Screen and the Posttraumatic Stress Disorder Checklist with soldiers returning from combat. (618 citations)
- Efficacy beliefs as a moderator of the impact of work-related stressors: a multilevel study. (559 citations)
What are the main themes of his work throughout his whole career to date?
Paul D. Bliese mainly investigates Mental health, Psychiatry, Clinical psychology, Social psychology and Suicide prevention.
His biological study spans a wide range of topics, including Stressor and Gerontology.
In general Psychiatry, his work in Anxiety disorder, Psychiatric assessment and Anger is often linked to Service member linking many areas of study.
His work on Posttraumatic stress and Psychometrics as part of general Clinical psychology research is frequently linked to Combat exposure, thereby connecting diverse disciplines of science.
His Social psychology study integrates concerns from other disciplines, such as Developmental psychology and Multilevel model.
Paul D. Bliese has included themes like Injury prevention and Human factors and ergonomics in his Suicide prevention study.
He most often published in these fields:
- Mental health (21.69%)
- Psychiatry (20.63%)
- Clinical psychology (21.16%)
What were the highlights of his more recent work (between 2018-2021)?
- Clinical psychology (21.16%)
- Mental health (21.69%)
- Multilevel model (10.58%)
In recent papers he was focusing on the following fields of study:
Paul D. Bliese mainly focuses on Clinical psychology, Mental health, Multilevel model, Social psychology and Resilience.
His Clinical psychology study incorporates themes from Intervention and Control.
His Mental health study combines topics in areas such as Psychological intervention and Gerontology.
The concepts of his Multilevel model study are interwoven with issues in Theoretical computer science, Affect and Regression.
Paul D. Bliese brings together Social psychology and Trait to produce work in his papers.
In his study, Face is inextricably linked to Applied psychology, which falls within the broad field of Resilience.
Between 2018 and 2021, his most popular works were:
- Bridging Methodological Divides Between Macro- and Microresearch: Endogeneity and Methods for Panel Data: (16 citations)
- Improving the measurement of group-level constructs by optimizing between-group differentiation. (10 citations)
- Prospective associations of perceived unit cohesion with postdeployment mental health outcomes. (9 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Major depressive disorder
His primary areas of study are Clinical psychology, Panel data, Endogeneity, Econometrics and Macro.
His work carried out in the field of Clinical psychology brings together such families of science as Generalized anxiety disorder, Substance abuse, Major depressive episode, Major depressive disorder and Mental health.
His Panel data investigation overlaps with other areas such as Bridging and Random effects model.
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