Table 2.
Analysis of the brief-access lick data in Figure 1
| Latency to initiate licking | Lick rate | ||||||
|---|---|---|---|---|---|---|---|
| Test solutions | Source of variation | F-ratio | df | P-value | F-ratio | df | P-value |
| E and water | Test solution | 22.8 | 1, 15 | <0.0003 | 78.9 | 1, 15 | <0.0001 |
| Consecutive trials | 2.4 | 4.5, 67.2 | 0.051 | 7.6 | 4.4, 66.3 | <0.0001 | |
| Interaction | 0.9 | 4.8, 72.6 | 0.515 | 12.9 | 4.7, 70.2 | <0.0001 | |
| E and E + SS | Test solution | 11.9 | 1, 15 | <0.005 | 20.9 | 1, 15 | <0.001 |
| Consecutive trials | 1.3 | 5.3, 80.6 | 0.279 | 3.0 | 5.0, 75.3 | 0.016 | |
| Interaction | 1.2 | 4.7, 69.9 | 0.287 | 1.2 | 3.9, 59 | 0.300 | |
| E and E + SSM | Test solution | 2.1 | 1, 15 | 0.173 | 10.4 | 1, 15 | 0.006 |
| Consecutive trials | 2.8 | 2.2, 33.5 | 0.067 | 6.4 | 4.7, 71.1 | <0.0001 | |
| Interaction | 1.1 | 3.8, 57.1 | 0.350 | 4.0 | 5.5, 81.9 | 0.002 | |
| E + SS and E + SSM | Test solution | 3.2 | 1, 11 | 0.102 | 27.0 | 1, 11 | 0.0003 |
| Consecutive trials | 1.9 | 5.9, 54.9 | 0.105 | 7.0 | 3.3, 36.1 | 0.0006 | |
| Interaction | 1.6 | 5.4, 59.6 | 0.158 | 0.7 | 2.4, 26.9 | 0.519 | |
| E and E + SSM2 | Test solution | 13.5 | 1, 15 | 0.002 | 123.1 | 1, 15 | <0.0001 |
| Consecutive trials | 1.8 | 5.4, 81.3 | 0.114 | 5.8 | 4.9, 73.5 | 0.0002 | |
| Interaction | 1.4 | 5.8, 88.1 | 0.223 | 8.4 | 4.7, 70.3 | <0.0001 | |
| E and E + SSM4 | Test solution | 27.2 | 1, 15 | 0.0001 | 42.4 | 1, 15 | <0.0001 |
| Consecutive trials | 0.9 | 4.4, 66.5 | 0.467 | 0.9 | 3.9, 58.7 | 0.449 | |
| Interaction | 0.3 | 4.6, 68.7 | 0.877 | 1.4 | 2.9, 44.1 | 0.265 | |
In each lick test, the rat was offered two test solutions. We examined how (a) latency to initiate licking and (b) lick rate for each test solution changed across the initial 20 trials of the lick test (mean ± standard error). We alternated the presentation of each of the test solution, resulting in a total of 10 trials per test solution. For each dependent measure and pair of test solutions, we ran a 2-way repeated-measure ANOVA. We controlled for sphericity by adjusting dfs with the Greenhouse–Geisser correction.