By conduction a two-was mixed group ANOVA 2 X (3), on the two factors time of day which can be broken down into a further 3 levels (morning, afternoon and evening) and gender which can also be broken down into 2 levels (male and female) on short term memory recall. This was conducted to test for differences between the two independent groups whilst exposing participants to repeated measures. When analysing variance there are a number of assumptions which need to be considered and applied. Firstly, it is required that participants are selected at random to adequately represent the target population. Secondly, the data must be measured at an interval or ratio level (Pallant, 2010). It is also argued by Pallant (2010) that the population from
…show more content…
To further test for homogeneity of variance by looking at Mauchly’s test of sphericity which showed a non sig results of .251, which allows us to assume homogeneity of variance.
Time of day had a significant effect on memory call at the level P<.05 for the three conditions of F (2, 36) = 6.68, P= .003. This shows that time of day has a very significant effect on short term memory recall. Effect size was measured to test the strength of the relationship between the variables, Cohen’s D was conducted in the partial eta to indicate the standardised difference between two means, it was found that time of day had a partial eta of .271.
The main statistical finding which focused on gender having an effect on short term memory recall, at the level p<.05 found that F (1, 18) =.031, P=863. This means that gender does not have a significant on an individual’s ability to recall memory. Similarly, the partial eta was also analyzed for the main effect of gender which was found to be …show more content…
Table one shows that mean for gender and shorter memory recall, with the standard deviations displayed within brackets. From analysing to Row mean, it is clear to see that males had a slightly higher level M=7.76 SD = 2.09; to females M=7.63 SD= (2.55). Examining the column means shows that as the day progressed so does the column mean, for example in the morning condition of M= 6.75 SD=2.33 there is a 0.60 mean increase to the afternoon condition of M=7.35 SD=1.98. Finally it is clear to see that the column mean increases as the day progresses.
Post-hoc comparisons using the Mauchly’s test of sphericity indicated that the mean score for condition one indicated that the morning condition (M=6.75, SD =2.33) was carried out was non sig and showed homogeneity of variance. As the day progressed the mean score increased in the afternoon condition (M=7.34, SD=1.98) and finally the highest mean scores were produced in the evening conation (M=9.00, SD=2.67). From this it can be identified that there was no significant
To further test for homogeneity of variance by looking at Mauchly’s test of sphericity which showed a non sig results of .251, which allows us to assume homogeneity of variance.
Time of day had a significant effect on memory call at the level P<.05 for the three conditions of F (2, 36) = 6.68, P= .003. This shows that time of day has a very significant effect on short term memory recall. Effect size was measured to test the strength of the relationship between the variables, Cohen’s D was conducted in the partial eta to indicate the standardised difference between two means, it was found that time of day had a partial eta of .271.
The main statistical finding which focused on gender having an effect on short term memory recall, at the level p<.05 found that F (1, 18) =.031, P=863. This means that gender does not have a significant on an individual’s ability to recall memory. Similarly, the partial eta was also analyzed for the main effect of gender which was found to be …show more content…
Table one shows that mean for gender and shorter memory recall, with the standard deviations displayed within brackets. From analysing to Row mean, it is clear to see that males had a slightly higher level M=7.76 SD = 2.09; to females M=7.63 SD= (2.55). Examining the column means shows that as the day progressed so does the column mean, for example in the morning condition of M= 6.75 SD=2.33 there is a 0.60 mean increase to the afternoon condition of M=7.35 SD=1.98. Finally it is clear to see that the column mean increases as the day progresses.
Post-hoc comparisons using the Mauchly’s test of sphericity indicated that the mean score for condition one indicated that the morning condition (M=6.75, SD =2.33) was carried out was non sig and showed homogeneity of variance. As the day progressed the mean score increased in the afternoon condition (M=7.34, SD=1.98) and finally the highest mean scores were produced in the evening conation (M=9.00, SD=2.67). From this it can be identified that there was no significant