My study is about customers’ perception of the effectiveness for a Malaysia corporate Weblog. In my study, customers’ perception of the effectiveness defined as perceived ease of use, perceived interactivity, and perceived trustworthiness; whereas the corporate Weblog defined as Weblog publishing software, Weblog comment system, and Weblog blogroll and hyperlink.
In my study, I want to determine whether there is a relationships between:
a) Customers’ perception of ease of use and Weblog publishing software;
b) Customers’ perception of interactivity and Weblog comment system; and
c) Customers’ perception of trustworthiness and Weblog blogroll and hyperlink.
In the questionnaire, each section (perceived easy of use; perceived interactivity; perceived trustworthiness; Weblog publishing software; Weblog comment system; and Weblog blogroll and hyperlink) consist of 5 questions. As the questionnaire design in 7-likert scale (ordinal measurement), therefore I’m using non-parametric correlation (Spearman’s correlation) to analyzed the data. Besides that, as in my dissertation chapter 1, there have some research hypothesis; therefore I’m selected one-tailed significance.
Is Spearman Correlation the appropriate method to analyse my data?
Because each section has 5 questions (eg: Perceived ease of use and Weblog publishing software), the statistical output has 10 correlation coefficients, but how should I interpret these 10 correlation coefficient into one conclusion as to whether there is a relationship between customers’ perception of ease of use and Weblog publishing software?
If I wanted to do a regression for customers’ perceived ease of use (5 questions) and Weblog publishing software (5 questions), which regression should I use?