This paper is based on data analysis for four variables that includes Raven, OSPAN, White-bear, and SPTSS. The number of participants were 61 (N =61). To analyze the data, comparison of the means of the four variables is done.
|Table 1:Case Processing Summary|
|Raven * Participant number||61||95.3%||3||4.7%||64||100.0%|
|OSPAN * Participant number||61||95.3%||3||4.7%||64||100.0%|
|White Bear * Participant number||61||95.3%||3||4.7%||64||100.0%|
|SPTSS * Participant number||61||95.3%||3||4.7%||64||100.0%|
Table 1 above shows the summery of the entire case for the four variables including the percentage inclusion and exclusion for each variable. The mean was then compared in order to give way to further analysis. Table 2 below shows the compared means for the four variables. OSPAN has the highest mean value while SPTSS has the smallest mean value.
Table 2: Report Summery on mean and Std. comparison
|Participant s||Raven||OSPAN||White Bear||SPTSS|
The tabulated results are clearly presented in a column chart as shown in figure 1 below:
Figure 1: Comparison of mean and standard deviation
Figure 1 above clear shows that OSPAN has the least mean followed by Raven and white-bear respectively, while SPTSS has the least mean. The standard deviations for the four variables are also in the same order.
Similarly, the four variables depicted different F values, levels of significance, and the sum of squares between groups. Table 3 shows this difference.
|Table 3: ANOVA|
|Sum of Squares||df||Mean Square||F||Sig.|
|White Bear||Between Groups||229.861||59||3.896||7.792||0.279|
From table 3, Raven and OSPAN show the significant mean difference between groups because the calculated significance levels of 0.510 and 0760, respectively are higher than 0.5. There is, however, no significant mean difference regarding the two other variables, White bear, and SPTSS since the significance level value is less than 0.5. The critical F values for the four variables are greater or equal to the tabulated F values, implying that the results are significant.
Johnston, J. (1972). Econometric Methods (Second ed.). New York: McGraw-Hill.
PLACE THIS ORDER OR A SIMILAR ORDER WITH GRADE VALLEY TODAY AND GET AN AMAZING DISCOUNT