Although the literature generally views MSB as indicative of low decision-making quality, potential low decision-making quality among nonmultiple switchers is not well understood. Here we can separately identify decision-making quality and MSB. Interpreting the regression coefficient as data quality, we explicitly test decision-making quality for multiple switchers and nonmultiple switchers in table 5. The results show that data quality is insignificantly different from 0 for both multiple switchers and nonmultiple switchers in the control group, and is only significantly different from 0 for the nonmultiple switchers in the treatment group. MSB is not a good indicator of data quality in the control group ($p$-value $=$ 0.567). Among nonmultiple switchers, data quality is significantly higher under the nudge treatment than under the standard protocol ($p$-values $=$ 0.025).

Table 5.
MSB and Data Quality: Regression Coefficient on LS
Multiple SwitchersNonmultiple Switchers$p$-values of
(1)(2)H0: (1) $=$ (2)
Control −0.019 0.137 0.567
$N$ 31 70
Treatment 0.000 0.602*** 0.350
$N$ 83
Multiple SwitchersNonmultiple Switchers$p$-values of
(1)(2)H0: (1) $=$ (2)
Control −0.019 0.137 0.567
$N$ 31 70
Treatment 0.000 0.602*** 0.350
$N$ 83

MPL is coded using method B, the number of risky choices made before the “first switch point.” Significant at *10%, **5%, and ***1%.

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