Table 1.
Demographic Information for Each Contributing Lab
| Lab | Country | Testing language | Condition | N | Women n | Age M (SD) | Understanding personal benefit n | Understanding group benefit n | Naive n |
|---|---|---|---|---|---|---|---|---|---|
| Aczel | Hungary | Hungarian | Time pressure | 101 | 80 | 21.1 (1.8) | 62 | 83 | 82 |
| Forced delay | 102 | 77 | 21.4 (2.0) | 66 | 84 | 87 | |||
| Bègue | France | French | Time pressure | 107 | 71 | 20.8 (2.0) | 71 | 91 | 86 |
| Forced delay | 114 | 84 | 20.7 (2.2) | 75 | 97 | 97 | |||
| Bouwmeester | The Netherlands | Dutch/English | Time pressure | 87 | 70 | 20.2 (2.1) | 71 | 80 | 65 |
| Forced delay | 82 | 69 | 20.3 (2.3) | 61 | 72 | 63 | |||
| Espin | United Kingdom | English | Time pressure | 77 | 39 | 22.6 (3.7) | 36 | 50 | 39 |
| Forced delay | 80 | 45 | 21.9 (3.7) | 34 | 56 | 43 | |||
| Evans | The Netherlands | Dutch | Time pressure | 72 | 58 | 19.8 (1.7) | 61 | 69 | 19 |
| Forced delay | 72 | 58 | 19.5 (2.0) | 59 | 69 | 22 | |||
| Ferreira-Santos | Portugal | Portugese | Time pressure | 81 | 62 | 20.5 (3.1) | 54 | 57 | 57 |
| Forced delay | 82 | 50 | 21.2 (3.4) | 42 | 60 | 61 | |||
| Fiedler | Germany | German | Time pressure | 79 | 52 | 19.8 (2.3) | 59 | 75 | 54 |
| Forced delay | 75 | 49 | 19.9 (2.2) | 56 | 68 | 48 | |||
| Hauser | Unites States | English | Time pressure | 84 | 56 | 21.5 (3.0) | 75 | 81 | 26 |
| Forced delay | 82 | 47 | 22.0 (3.3) | 71 | 78 | 35 | |||
| Hernan | United Kingdom | English | Time pressure | 90 | 56 | 20.9 (2.1) | 63 | 83 | 9 |
| Forced delay | 92 | 53 | 20.9 (2.2) | 68 | 84 | 6 | |||
| Lohse | Germany | German | Time pressure | 76 | 37 | 21.5 (2.4) | 50 | 71 | 20 |
| Forced delay | 80 | 31 | 21.8 (2.4) | 58 | 71 | 26 | |||
| Mischkowski | Germany | German | Time pressure | 97 | 64 | 23.6 (2.7) | 65 | 88 | 29 |
| Forced delay | 91 | 57 | 24.5 (2.7) | 62 | 86 | 19 | |||
| Neal | United States | English | Time pressure | 81 | 61 | 22.5 (4.1) | 53 | 67 | 72 |
| Forced delay | 75 | 53 | 21.6 (2.8) | 48 | 63 | 64 | |||
| Novakova | Czech Republic | Czech | Time pressure | 101 | 70 | 22.2 (2.6) | 78 | 89 | 56 |
| Forced delay | 101 | 60 | 22.5 (2.6) | 78 | 94 | 55 | |||
| Pagà | Spain | Spanish | Time pressure | 79 | 47 | 21.2 (3.0) | 63 | 72 | 21 |
| Forced delay | 78 | 45 | 21.9 (3.3) | 62 | 70 | 27 | |||
| Piovesan | Denmark | Danish | Time pressure | 107 | 30 | 20.6 (1.6) | 74 | 85 | 91 |
| Forced delay | 109 | 30 | 20.6 (1.5) | 61 | 97 | 83 | |||
| Salomon | United States | English | Time pressure | 98 | 70 | 19.9 (1.6) | 81 | 82 | 74 |
| Forced delay | 100 | 63 | 19.7 (1.4) | 79 | 85 | 69 | |||
| Srinivasan | India | Hindi | Time pressure | 88 | 39 | 21.4 (2.5) | 31 | 36 | 26 |
| Forced delay | 89 | 45 | 22.0 (3.1) | 35 | 41 | 43 | |||
| Tinghög | Sweden | Swedish | Time pressure | 83 | 34 | 22.4 (2.4) | 55 | 71 | 58 |
| Forced delay | 81 | 38 | 21.6 (2.2) | 57 | 73 | 72 | |||
| Trueblood | United States | English | Time pressure | 75 | 56 | 21.4 (3.5) | 58 | 73 | 57 |
| Forced delay | 68 | 43 | 21.4 (3.3) | 56 | 63 | 49 | |||
| Wills | United States | English | Time pressure | 75 | 31 | 22.3 (2.5) | 60 | 69 | 18 |
| Forced delay | 72 | 27 | 22.0 (2.1) | 50 | 64 | 15 | |||
| Wollbrant | Sweden | Swedish | Time pressure | 66 | 25 | 25.1 (3.5) |
44 | 57 | 23 |
| Forced delay | 67 | 31 | 24.9 (3.1) | 54 | 60 | 34 |