Which statistical method should I use? I wish to analyse the following :
Independent Variable (IV): User of online financial reports Perceived usefulness and Perceived Quality (Sub to Relevance, Reliability, Understandability, Comparability and Timeliness) (all using 5-point Likert scale.) towards Internet Financial Reporting in Malaysia.
Dependent Variable (DV): Intention to use Internet Financial Reporting information as a decision-making instrument (5-point Likert scale)
Questions:


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*Which statistical method should I use to analyse my data? Previously I was thinking to use multiple regression and correlation to analyse it, but I just found that I'm not fulfilling the assumptions, because the DV should be measured on a continuous scale.

*What are the minimum numbers of observations I need? I read before that it is at least 10 for each IV. Does that mean I only need 60 observations? 
I'm using SPSS to analyse the data.
 A: I don't think continuous scale is absolutely essential for regression of the usual kind. There are plenty of examples in which I might use regression on a response (what you call DV) that is a counted variable. 
But in essence I think you are right. The key word here is ordinal or ordered: your response variable (DV in your notation) is on an ordinal or ordered scale. The books of Alan Agresti are among those relevant. 
http://www.amazon.com/Analysis-Ordinal-Categorical-Probability-Statistics/dp/0470082895/
gives an in-depth survey and his other books on categorical data analysis are also excellent. And there are many other surveys. 
Any rule of thumb "at least 10 for each IV" implies a minimum, not to be thought of "what will necessarily work well". As all your predictors are also categorical, you will be estimating a lot of parameters and 60 to me looks very small for such a project. 
Probably the first model to look at is ordered logit, but there many different models in this territory. 
It's just terminology, but a widely held view is that dependent variable and independent variable are poor terms and hang-overs from the past. That said, there is no agreement on what to use instead, but response and outcome are popular terms rather than dependent variable and predictors and covariates are among several popular terms rather than independent variables. If you use IV as an abbreviation, you will get into confusing discussions with those people who want to use IV to mean instrumental variable. 
