Table 4.
Discrete-choice experiment methodology in tobacco-control research
| References | Design | Design plan | Design source | Method of creating choice set | Number of choice sets | Questionnaire | Estimation method |
|---|---|---|---|---|---|---|---|
| Marti [31] | Fractional factorial | Main effects only and interactions | Website | Orthogonal array | 10 | Interviewer administered | All models comparison |
| Goto et al. [8] | Factorial | Main effects only with interaction | N-Logit Version 3 | Orthogonal planning method | 8 | Unclear | Mix logit model and simulation |
| Pesko et al. [27] | Balanced | Interaction with all variables | Unclear | D-efficient design D-efficiency |
12 | Unclear | Linear probability model with sensitivity analysis |
| Goto et al. [19] | Fractional factorial | Main effect only with interactions | N-Logit version 4.0 and Stata 11 | Orthogonal planning method | 8 | Unclear | Random parameter logit model |
| Paterson et al. [30] | Fractional factorial | Unclear | Expert panel | Orthogonal design | 4 | Internet | Random parameter logit |
| Czoli et al. [26] | Balance incomplete block | Main effect only with interactions | SAS v. 9.4 | Orthogonal design | 20 | Online/internet | Multinomial logit regression |
| Salloum et al. [28] | Fractional factorial | Main effects with interaction | SAS v. 9.4 | Unclear | 9 | Internet-based (tablet) | Multinomial logit regression, nested logit model |
| Salloum et al. [25] | Fractional factorial | Main effect and alternative | SAS v. 9.3 | Unlear | 8 | Interviewer | Conditional logit models |
| Goto et al. [34] | Fractional factorial | Time risk preference: survival analysis | NLOGIT 3.0 | Orthogonal planning method | 8 | Interviewer administered | Mixed logit model with simulation |
| Morgan et al. [32] | Fractional factorial | Main effect and subgroup analysis | SAS v. 9.1.2 | D efficient design (co-variance matrix) | 24 | Web-based online | Conditional logit regression model |
| Kotnowski et al. [29] | Fractional factorial | Main analysis and interaction | SAS v. 9.3 (D-efficiency 98%) | Orthogonal and balanced choice set | 10 | Web-based online | Multinomial logic model |
| Hammar and Carlsson [33] | Fractional factorial | Main analysis | SAS | D-optimal design | 4 | Unclear | Standard random effects binary Probit model |