Table 2. Knowledge-based questions and results.
| Total N = 2110* | Female | Male | Gender | Education | Education | Education | ||
| N = 1181* | N = 929* | Difference | degree | degree | Difference | |||
| Kendall tau b | Low N = 1638* | High N = 472* | Kendall tau b | |||||
| At what age does female fertility start to gradually decline? | 25 years | 64 (3%) | 40 (3.4%) | 24 (2.6%) | .022 | 29 (1.8%) | 35 (7.4%) | .001 |
| 30 years | 238 (11.3%) | 128 (10.8%) | 110 (11.8%) | 177 (10.8%) | 61 (12.9%) | |||
| 35 years | 507 (24%) | 309 (26.2%) | 198 (21.3%) | 394 (24.1%) | 113 (23.9%) | |||
| 40 years | 602 (28.5%) | 333 (28.2%) | 269 (29%) | 470 (28.7%) | 132 (28.0%) | |||
| 45 years | 388 (18.4%) | 209 (17.7%) | 179 (19.3%) | 312 (19.0%) | 76 (16.1%) | |||
| after menopause | 305 (14.5%) | 157 (13.3%) | 148 (15.9%) | 252 (15.4%) | 53 (11.2%) | |||
| How many couples do you think remain involuntarily childless in Germany, today? | thru 10% | 715 (33.9%) | 375 (31.8%) | 340 (36.6%) | .111 | 545 (33.3%) | 170 (36.0%) | .012 |
| 11–20% | 664 (31.5%) | 396 (33.5%) | 268 (28.8%) | 507 (31.0%) | 157 (33.3%) | |||
| 21–30% | 418 (19.8%) | 225 (19.1%) | 193 (20.8%) | 326 (19.9%) | 92 (19.5%) | |||
| 31–50% | 227 (10.8%) | 132 (11.2%) | 95 (10.2%) | 193 (11.8%) | 34 (7.2%) | |||
| >50% | 45 (2.1%) | 29 (2.5%) | 16 (1.7%) | 39 (2.4%) | 6 (1.3%) | |||
| What is your estimate of the likelihood that a woman becomes pregnant following one artificial insemination treatment cycle? | <10% | 216 (10.2%) | 127 (10.8%) | 89 (9.6%) | .015 | 176 (10.7%) | 40 (8.5%) | .227 |
| 10–25% | 454 (21.5%) | 261 (22.1%) | 193 (20.8%) | 332 (20.3%) | 122 (25.8%) | |||
| 26–50% | 665 (31.5%) | 389 (32.9%) | 276 (29.7%) | 517 (31.6%) | 148 (31.4%) | |||
| 51–80% | 573 (27.2%) | 305 (25.8%) | 268 (28.8%) | 461 (28.1%) | 112 (23.7%) | |||
| >80% | 157 (7.4%) | 75 (6.4%) | 82 (8.8%) | 121 (7.4%) | 36 (7.6%) | |||
| Have you ever heard, seen or readanything about reproductive medicineprior to this study? | yes | 1496 (70.9%) | 903 (76.5%) | 593 (63.8%) | .001 | 1102 (67.3%) | 394 (83.5%) | .001 |
| no | 440 (20.9%) | 193 (16.3%) | 247 (26.6%) | 390 (23.8%) | 50 (10.6%) | |||
| don’t know | 173 (8.2%) | 84 (7.1%) | 89 (9.6%) | 146 (8.9%) | 27 (5.7%) | |||
| How would you describe your knowledge about reproductive medicine? −> only participants who answered “yes” to the previous question | N | 1496 | 903 | 593 | .001 | 1102 | 394 | .002 |
| excellent | 24 (1.6%) | 18 (2.0%) | 6 (1.0%) | 13 (1.2%) | 11 (2.8%) | |||
| good | 189 (12.6%) | 131 (14.5%) | 58 (9.8%) | 137 (12.4%) | 52 (13.2%) | |||
| moderate | 672 (44.9%) | 446 (49.4%) | 226 (38.1%) | 476 (43.2%) | 196 (49.7%) | |||
| poor | 515 (34.4%) | 268 (29.7%) | 247 (41.7%) | 398 (36.1%) | 117 (29.7%) | |||
| very low or none at all | 96 (6.4%) | 40 (4.4%) | 56 (9.4%) | 78 (7.1%) | 18 (4.6%) | |||
*
May not add up to 100% due to missing data.