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53% in Table 2). These results indicate that participants in DF are making a less difficult (less complex) repetitive decision than participants in SF. The difference in decision complexity is also reflected in mean payoffs per participant, which are also shown in Table 2. The reader is reminded that participants within a particular session are compensated for their decisions in relation to the participant that accumulates the most lab dollars. 42 vs. 00). 63% vs. 63% in Table 2). It may be noted in Fig.

Participating graduate students are, therefore, the best available source of knowledgeable and rational decision-makers on purchasing CA. 4. DF and SF experiments were conducted first. Analysis of behavior in DF and SF indicates a second cycle was unnecessary because behavior in each experiment is consistent across the two cycles. Therefore, only one cycle was conducted in the DM and SM experiments, performed subsequent to DF and SF. 5. The primary approach to the General Estimating Equation (GEE) for the Alternating Logistical Regression Analysis (ALR) is to model the association between pairs of responses with log odds ratios.

5. The primary approach to the General Estimating Equation (GEE) for the Alternating Logistical Regression Analysis (ALR) is to model the association between pairs of responses with log odds ratios. ’’ Modeled as a vector of regression parameters, the output defines subgroups within clusters or ‘‘block effects’’ between clusters in a multistage analysis. Clusters are fully parameterized for each unique pair. When analyzing the DF and SF settings data, a total of 153 parameters are defined in the total vector.

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