What is he best known for?
The fields of study he is best known for:
- Social psychology
- Statistics
- Cognition
David Trafimow mostly deals with Social psychology, Developmental psychology, Cognition, Affect and Normative.
David Trafimow connects Social psychology with Control in his research.
His studies deal with areas such as Habit, Morality and Social perception as well as Developmental psychology.
His Cognition research incorporates themes from Mindfulness and Implicit self-esteem.
His research in Affect intersects with topics in Psychological intervention and Occupational safety and health.
His Normative research is multidisciplinary, incorporating perspectives in Sample and Perception.
His most cited work include:
- Some tests of the distinction between the private self and the collective self. (841 citations)
- The Importance of Subjective Norms for a Minority of People: between Subjects and within-Subjects Analyses (357 citations)
- Evidence that perceived behavioural control is a multidimensional construct: Perceived control and perceived difficulty (290 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Social psychology, Statistics, Developmental psychology, Attribution and Epistemology.
His Affect study, which is part of a larger body of work in Social psychology, is frequently linked to Trait, bridging the gap between disciplines.
David Trafimow combines Developmental psychology and Control in his studies.
David Trafimow interconnects Intentionality, Social perception and Morality in the investigation of issues within Attribution.
In his study, Sampling is strongly linked to Sample, which falls under the umbrella field of Sample size determination.
The Statistical hypothesis testing study combines topics in areas such as Null hypothesis and Econometrics.
He most often published in these fields:
- Social psychology (47.52%)
- Statistics (14.05%)
- Developmental psychology (11.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Statistics (14.05%)
- Sample size determination (6.20%)
- Statistical hypothesis testing (7.85%)
In recent papers he was focusing on the following fields of study:
David Trafimow focuses on Statistics, Sample size determination, Statistical hypothesis testing, Sample and Confidence interval.
His Skewness, Contrast and Statistic study in the realm of Statistics connects with subjects such as Measurement theory.
David Trafimow studies Statistical hypothesis testing, focusing on p-value in particular.
His Sample study also includes
- A priori and a posteriori that intertwine with fields like Artificial intelligence and Machine learning,
- Data collection, Cognition, Developmental research and Cognitive research most often made with reference to Sampling.
As part of one scientific family, David Trafimow deals mainly with the area of Descriptive statistics, narrowing it down to issues related to the Replication crisis, and often Epistemology and Replication.
David Trafimow works mostly in the field of Statistical inference, limiting it down to concerns involving Sign and, occasionally, Null hypothesis and Cognitive psychology.
Between 2017 and 2021, his most popular works were:
- Inferential statistics as descriptive statistics: there is no replication crisis if we don't expect replication (87 citations)
- Manipulating the Alpha Level Cannot Cure Significance Testing. (47 citations)
- An a priori solution to the replication crisis (22 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Epistemology
The scientist’s investigation covers issues in Statistics, Cognitive psychology, A priori and a posteriori, Statistical hypothesis testing and Sampling.
His study brings together the fields of Control and Statistics.
His studies in Cognitive psychology integrate themes in fields like Habit, Sign, Automaticity and Universe.
His work in A priori and a posteriori tackles topics such as Data collection which are related to areas like Sample size determination, Machine learning, Probability distribution and Skewness.
The concepts of his Statistical hypothesis testing study are interwoven with issues in Significance testing, Statistical assumption and Taxonomy.
While the research belongs to areas of Sampling, David Trafimow spends his time largely on the problem of Sample, intersecting his research to questions surrounding Cognitive research, Developmental research, Cognition and Artificial intelligence.
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