Question 5: Below is some SPSS output, which shows the results of testing a construct called \"Overall Satisfaction with Brand X.\" (a) Explain clearly what type of analysis this is, exactly what it is testing, and what output it provides. (b) If you were the researcher who got this output, what would you do next? Why? (c) What evidence is there in this output support this course of action? RELIABILITY ANALYSIS SCALE (ALPHA) 1. 018A I am very satisfied with Brand X 2. Q18B Brand X met my needs 3. Ql8C I am pleased with my purchase of Brand X 4. 018D My decision to buy Brand X was a wise one 5. Q18E Brand X performed to my expectations Mean Std Dev Cases 1. Q18A 5.0361 1.6075 194.0 2. Q18B 5.7629 1.3410 194.0 3. 018C 5.2887 1.4958 194.0 4. Q18D 5.1392 1.7204 194.0 5. Q18E 5.4588 1.4614 194.0 Correlation Matrix Q18A Q18B 018C 018D Q18E 018A 1.0000 Q18B .7419 1.0000 018C .6981 .7420 1.0000 0180 .5434 .5062 .6064 1.0000 Q18E .7340 .7115 .7118 .6772 1.0000 N of Statistics for Mean Variance Std Dev variables Scale 26.6856 42.4654 6.5165 5 Inter-item Correlations Mean Minimum Maximum Range Max/Min Variance .6673 .5062 .7420 .2358 1.4659 .0069 Item-total Statistics Scale Scale Corrected Mean Variance Item Squared Alpha if Item if Item Total Multiple if Item Deleted Deleted Correlation Correlation Deleted Q18A 21.6495 26.8713 .7806 .6500 .8802 Q18B 20.9227 29.3670 .7774 .6674 .8831 018C 21.3969 27.6603 .7988 .6538 .8765 Ql8D 21.5464 27.6377 .6561 .4938 .9109 Q18E 21.2268 27.5752 .8310 .6937 .8701 Reliability Coefficients 5 items Alpha = .9051 Standardized item alpha = .9093