I am trying to analysis the effect of various independent variable like service quality, ISP commitments,corporate image, product attributes, trustworthiness, service value, switching cost over the dependent variable brand loyalty for ISP customers. I have created questionnaire that consist ordinal scale (from very poor to very good) for some independent variables and interval scale(Strongly disagree to strongly agree) for other independent variables. How can I merge the interval and ordinal scale to analyse and develop relationship with the interval scaled loyalty.
Depends on the properties of the DV. Suggest you look at Frank Harrell's class Notes (attached). Best, David Booth
It isn't clear why you consider rating from poor to good to be ordinal, and consider rating disagree to agree to be interval. They are both the same. Most people would treat them as continuous and use correlation and other methods based on correlation (e.g., regression, SEM). Some people, however, are concerned that intervals might be unequal and prefer to use methods designed for categorical variables (logistic regression, log-linear analysis).
Both seem ordinal level, but assuming normal.distr., standard parametric tests should suffice.
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