Using Secondary Scales, Reliable And Valid

959 Words Aug 5th, 2015 4 Pages
Through factor analysis, we were able to conclude that our scales were reliable and valid. By using secondary scales from known academic sources, we knew that they had been vetted by academics, academic councils, and other groups and/or organizations. Since those scales had been scrutinized and analyzed before, this reduced possible error on our end and reduced analytical time. When incorporating those scales into our research, we found that only two scales were dropped and just a few response items were dropped. After performing a factor analysis, the remaining scales were deemed reliable and valid. Being able to create the survey in a timely fashion due to the quick analysis of the scales allowed us to quickly and efficiently meet our first objective of acquiring data from women ages 18 and older who shop for their household, in relation to the variables associated with purchasing products.

The ANOVA test ran for income, ethnicity, and age identified the following: there were no significant differences for the income ANOVA; ethnicity had a significant difference for the fairness dependent variable with a significance level of .036; the age ANOVA test showed that there were significant differences for shopping enjoyment at a significance level of .036 and price quality at .011. Through our Tukey test, we found the differences for age were from shopping enjoyment age selections “ages 22-35” and “ages 36-50”, both with a significance level of .045. The post hoc analysis also…
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