Efficiency and sample size requirements for stated choice studies

By Michiel C. J. Bliemer, John M. Rose. 2005

67 citations recorded by the source corpus.

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Citations in the corpus

Importance of health and environment as quality traits in the buying decision of organic products (2009, methodology): “In this experiment we opted for an orthogonal design instead of more efficient designs, such as a D-optimal design, as the latter require a priori knowledge concerning the sign and magnitude of the taste parameters (see Bliemer and Rose, 2005”
High-speed rail and office location choices. A stated choice experiment for the Netherlands (2011, background): “Note that more recently new design approaches (efficient designs) have been developed that are more suitable for small sample sizes, see e.g. Bliemer and Rose (2005).”
Construction of experimental designs for mixed logit models allowing for correlation across choice observations (2010, methodology): “First, the D-error represents a form of average over all parameters, while the sample size requirements relate only to parameter that is most difficult to estimate (see Bliemer and Rose, 2005). Thus, it is possible that on average, the standard errors for each design are decreasing, but that the lar”
Assessing the effect of autonomous driving on value of travel time savings: A comparison between current and future preferences (2019, methodology): “Following suggestions from the literature, a statistically more efficient design can be generated even when limited information about the parameters is given (Bliemer and Rose, 2005).”
Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, methodology): “By using the same general methodological framework used by Sándor and Wedel [42,43,55], Street and Burgess [16], Kanninen [22], Bliemer and Rose [29,44], and Bliemer et al.”
Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (2008, unknown): “…Resource Economics Society Inc. and Blackwell Publishing Asia Pty Ltd may be made for all K parameters, with the theoretical minimum sample size being the largest value calculated (Bliemer and Rose (2005) proposed that designs that seek to minimise the sample size be termed S-efficient designs).”
Modelling mode choice for freight transport using advanced choice experiments (2015, background): “Among the most important, we can cite the ability of efficient designs to obtain more reliable estimates with a smaller sample size (Bliemer and Rose, 2005).”