To determine if mood state changed from pretest to posttest a paired samples t-test was calculated on mood state. Mood state changed from pretest (M=27.7, SD=5.8), to posttest (M=30.1, SD=4.8), t (43) = -4.8, p = 0.00.
To test the hypothesis that HAI increases mood, a one way ANOVA was calculated. As displayed in table 1, the effects of conditions had no significant difference on mood in people, F (2, 42) = 1.5, p = 0.23.
To test the effect of species, a 2 (species) x 3 (condition) factorial ANOVA was calculated on mood state, stress rating and happiness rating. For mood state there was no main effect for species, F (1, 42) = 0.2, p = 0.7, no main effect for condition, F (1, 42) = 2.1, p = 0.2, and no species by condition interaction, F (1, 42) = 0.5, p = 0.5. Figure 1 illustrates these findings. For stress rating there was no main effect for species, F (1, 42) = 0.1, p = 0.7, no main effect for condition, F (1, 42) = 0.2, p = 0.7, and no species by condition interaction, F (1, 42) = 1.3, p = 0.3. For happiness rating there was no main effect of species, F (1, 42) = 1.0, p = 0.3, no main effect for condition, F (1, 42) = 3.7, p = 0.07, and no species by condition interaction, F (1, 42) = 1.8, p = …show more content…
It was hypothesized that HAI would have a positive effect on mood, as HAI increased, mood would also to increase. There was no main effect between HAI and mood. This could be due to a small sample size. With a larger sample size, it is possible that the HAI would have a more significant effect on mood. According to a literature review completed in 2001 by Allen, Shykoff, and Izzo, previous research suggests that HAI has a positive correlation on an individual’s mood state. However, there are no findings on direct effects on mood. Rather, other factors such as stress reduction, increased happiness and decreased aggression may cause an increase in an individual’s mood (Allen, Shykoff & Izzo,
To test the hypothesis that HAI increases mood, a one way ANOVA was calculated. As displayed in table 1, the effects of conditions had no significant difference on mood in people, F (2, 42) = 1.5, p = 0.23.
To test the effect of species, a 2 (species) x 3 (condition) factorial ANOVA was calculated on mood state, stress rating and happiness rating. For mood state there was no main effect for species, F (1, 42) = 0.2, p = 0.7, no main effect for condition, F (1, 42) = 2.1, p = 0.2, and no species by condition interaction, F (1, 42) = 0.5, p = 0.5. Figure 1 illustrates these findings. For stress rating there was no main effect for species, F (1, 42) = 0.1, p = 0.7, no main effect for condition, F (1, 42) = 0.2, p = 0.7, and no species by condition interaction, F (1, 42) = 1.3, p = 0.3. For happiness rating there was no main effect of species, F (1, 42) = 1.0, p = 0.3, no main effect for condition, F (1, 42) = 3.7, p = 0.07, and no species by condition interaction, F (1, 42) = 1.8, p = …show more content…
It was hypothesized that HAI would have a positive effect on mood, as HAI increased, mood would also to increase. There was no main effect between HAI and mood. This could be due to a small sample size. With a larger sample size, it is possible that the HAI would have a more significant effect on mood. According to a literature review completed in 2001 by Allen, Shykoff, and Izzo, previous research suggests that HAI has a positive correlation on an individual’s mood state. However, there are no findings on direct effects on mood. Rather, other factors such as stress reduction, increased happiness and decreased aggression may cause an increase in an individual’s mood (Allen, Shykoff & Izzo,