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An INAR(1) negative multinomial regression model for longitudinal count data

Böckenholt, Ulf - In: Psychometrika 64 (1999) 1, pp. 53-67

Persistent link: https://www.econbiz.de/10005184069

Mixed-effects analyses of rank-ordered data

Böckenholt, Ulf - In: Psychometrika 66 (2001) 1, pp. 45-62

Persistent link: https://www.econbiz.de/10005184169

Regressor and random-effects dependencies in multilevel models

Ebbes, Peter; Böckenholt, Ulf; Wedel, Michel - In: Statistica Neerlandica 58 (2004) 2, pp. 161-178

Persistent link: https://www.econbiz.de/10005676237

Towards a brain-to-society systems model of individual choice

Dubé, Laurette; Bechara, Antoine; Böckenholt, Ulf; … - In: Marketing Letters 20 (2009) 1, pp. 105-106

Persistent link: https://www.econbiz.de/10005680441

Towards a brain-to-society systems model of individual choice

Dubé, Laurette; Bechara, Antoine; Böckenholt, Ulf; … - In: Marketing Letters 19 (2008) 3, pp. 323-336

Persistent link: https://www.econbiz.de/10005680452

Modeling within-subject dependencies in ordinal paired comparison data

Böckenholt, Ulf; Dillon, William - In: Psychometrika 62 (1997) 3, pp. 411-434

Persistent link: https://www.econbiz.de/10005603331

Item Randomized-Response Models for Measuring Noncompliance: Risk-Return Perceptions, Social Influences, and Self-Protective Responses

Böckenholt, Ulf; Heijden, Peter van der - In: Psychometrika 72 (2007) 2, pp. 245-262

Persistent link: https://www.econbiz.de/10005603629

Constrained latent class analysis: Simultaneous classification and scaling of discrete choice data

Böckenholt, Ulf; Böckenholt, Ingo - In: Psychometrika 56 (1991) 4, pp. 699-716

Persistent link: https://www.econbiz.de/10005603670

Multivariate thurstonian models

Böckenholt, Ulf - In: Psychometrika 55 (1990) 2, pp. 391-403

Persistent link: https://www.econbiz.de/10005603729

Commentary on Scheibehenne, Greifeneder, and Todd<break></break>Choice Overload: Is There Anything to It?

Chernev, Alexander; Böckenholt, Ulf; Goodman, Joseph - In: Journal of Consumer Research 37 (2010) 3, pp. 426-428

Can there ever be too many options? We argue that because choice overload has multiple antecedents, simply searching for a main effect across all conditions and a single "sufficient" condition that is likely to solely predict this effect is not informative. Moreover, because prior research has...

Persistent link: https://www.econbiz.de/10008756248