What is he best known for?
The fields of study he is best known for:
- Statistics
- Law
- Normal distribution
Econometrics, Statistics, Social psychology, Cognitive psychology and Set are his primary areas of study.
His study in the field of Instrumental variable is also linked to topics like Process tracing.
Ulf Böckenholt combines subjects such as Endogeneity, Mixture model, Linear model and Identifiability with his study of Instrumental variable.
The Sample size determination, Latent variable model, Variables and Psychological research research Ulf Böckenholt does as part of his general Statistics study is frequently linked to other disciplines of science, such as Operationalization, therefore creating a link between diverse domains of science.
His work deals with themes such as Spurious relationship and Self report, which intersect with Social psychology.
The Set study combines topics in areas such as Choice set, Variety, Regret and Preference.
His most cited work include:
- Choice overload: A conceptual review and meta-analysis (211 citations)
- Single-paper meta-analysis: Benefits for study summary, theory testing, and replicability. (181 citations)
- Determinants of diagnostic hypothesis generation: effects of information, base rates, and experience. (173 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Econometrics, Statistics, Cognitive psychology, Social psychology and Multivariate statistics.
His Econometrics study integrates concerns from other disciplines, such as Representation, Latent class model, Latent variable model, Thurstone scale and Ranking.
His Ranking research integrates issues from Statistical model and Artificial intelligence.
His study in Statistics is interdisciplinary in nature, drawing from both Poisson regression and Random effects model.
He has included themes like Affect and Psychological research in his Cognitive psychology study.
His research integrates issues of Mixture model and Regression analysis in his study of Count data.
He most often published in these fields:
- Econometrics (39.02%)
- Statistics (28.66%)
- Cognitive psychology (12.20%)
What were the highlights of his more recent work (between 2013-2021)?
- Econometrics (39.02%)
- Cognitive psychology (12.20%)
- Statistics (28.66%)
In recent papers he was focusing on the following fields of study:
Ulf Böckenholt spends much of his time researching Econometrics, Cognitive psychology, Statistics, Psychological research and Set.
By researching both Econometrics and Context effect, Ulf Böckenholt produces research that crosses academic boundaries.
His Cognitive psychology research focuses on subjects like Social psychology, which are linked to Regret.
In the field of Statistics, his study on Randomized response and Cohen s d overlaps with subjects such as Power, Measure and Measurement scales.
Ulf Böckenholt focuses mostly in the field of Psychological research, narrowing it down to topics relating to Replication and, in certain cases, Statistical power, Sample size determination, Power and Publication bias.
The concepts of his Set study are interwoven with issues in Consumer research and Marketing research.
Between 2013 and 2021, his most popular works were:
- Choice overload: A conceptual review and meta-analysis (211 citations)
- Single-paper meta-analysis: Benefits for study summary, theory testing, and replicability. (181 citations)
- Adjusting for Publication Bias in Meta-Analysis: An Evaluation of Selection Methods and Some Cautionary Notes (127 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Law
- Normal distribution
Ulf Böckenholt mostly deals with Econometrics, Set, Statistics, Cognitive psychology and Psychological research.
He works mostly in the field of Econometrics, limiting it down to topics relating to Multilevel model and, in certain cases, Loss aversion.
His studies deal with areas such as Consumer research, Data science and Operations research as well as Set.
Statistical power and Sample size determination are the subjects of his Statistics studies.
His Cognitive psychology research focuses on Social psychology and how it relates to Likert scale, PsycINFO and Empirical research.
His Psychological research research includes elements of Structure, Psychometrics and Replication.
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