Grants per year
Personal profile
Research Interests
Professor Bockenholt's main research interest is in the development and application of statistical and psychometric methods for understanding consumer behavior and improving marketing decision-making. Areas of recent research include the modeling of response biases in self-reports, consumer choice processes for medical and financial decisions, affective and motivational influences in judgment and choice, (mist)trust-induced information-processing mechanisms and the effects of imagery on persuasion processes.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Psychology, DrPhilHabil, University of Oldenburg
… → 1995
Research Methodology and Quantitative Psychology, PhD, The University of Chicago
… → 1985
Psychology and Computer Science, Diploma, University of Oldenburg
… → 1982
Research interests keywords
- Consumer behavior
- Consumer decision-making
- Data analysis
- Marketing research
- Measurement techniques
- Trust and deception
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Collaborations and top research areas from the last five years
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Grants
- 1 Finished
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McGowan Fund Fellowship (Escobar)
Bockenholt, U. (PD/PI)
William G. McGowan Charitable Fund, Inc.
9/1/23 → 8/31/24
Project: Research project
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Is Sustainability a Liability? Green Marketing and Consumer Beliefs About Eco-Friendly Products
Chernev, A., Blair, S., Böckenholt, U. & Mishra, H., 2024, (Accepted/In press) In: Journal of Public Policy and Marketing.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Multilevel multivariate meta-analysis made easy: An introduction to MLMVmeta
McShane, B. B. & Böckenholt, U., Aug 2023, In: Behavior Research Methods. 55, 5, p. 2367-2386 20 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data
Büschken, J., Böckenholt, U., Otter, T. & Stengel, D., Jun 2022, In: Psychometrika. 87, 2, p. 620-665 46 p.Research output: Contribution to journal › Article › peer-review
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Intermittent Faking of Personality Profiles in High-Stakes Assessments: A Grade of Membership Analysis
Brown, A. & Böckenholt, U., Jan 10 2022, In: Psychological methods. 27, 5, p. 895-916 22 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations -
Meta-analysis of Studies with Multiple Contrasts and Differences in Measurement Scales
McShane, B. B. & Böckenholt, U., Jan 2022, In: Journal of Consumer Psychology. 32, 1, p. 23-40 18 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations
Datasets
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Average Power: A Cautionary Note
McShane, B. B. (Contributor), Böckenholt, U. (Creator) & Hansen, K. T. (Creator), SAGE Journals, 2020
DOI: 10.25384/sage.c.4998245, https://sage.figshare.com/collections/Average_Power_A_Cautionary_Note/4998245
Dataset
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McShaneSupplementalMaterial – Supplemental material for Average Power: A Cautionary Note
McShane, B. B. (Contributor), Böckenholt, U. (Creator) & Hansen, K. T. (Creator), SAGE Journals, 2020
DOI: 10.25384/sage.12388352, https://sage.figshare.com/articles/McShaneSupplementalMaterial_Supplemental_material_for_Average_Power_A_Cautionary_Note/12388352
Dataset
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Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability
McShane, B. B. (Creator), Böckenholt, U. (Creator) & Hansen, K. T. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.19384031.v3, https://tandf.figshare.com/articles/dataset/Variation_and_Covariation_in_Large-scale_Replication_Projects_An_Evaluation_of_Replicability/19384031/3
Dataset
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Enriching Meta-Analytic Models of Summary Data: A Thought Experiment and Case Study
McShane, B. B. (Contributor) & Böckenholt, U. (Creator), SAGE Journals, 2019
DOI: 10.25384/sage.c.4761131, https://sage.figshare.com/collections/Enriching_Meta-Analytic_Models_of_Summary_Data_A_Thought_Experiment_and_Case_Study/4761131
Dataset
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McShane_Rev_Supplemental_Material – Supplemental material for Enriching Meta-Analytic Models of Summary Data: A Thought Experiment and Case Study
McShane, B. B. (Contributor) & Böckenholt, U. (Creator), SAGE Journals, 2019
DOI: 10.25384/sage.11282357, https://sage.figshare.com/articles/McShane_Rev_Supplemental_Material_Supplemental_material_for_Enriching_Meta-Analytic_Models_of_Summary_Data_A_Thought_Experiment_and_Case_Study/11282357
Dataset