Anyone can suggest an appropriate quantitative research design for the evaluation of the developed product among three targeted groups?
Engr, this depends on if you want to compare the product before it was revised or against a standard product or if you want to compare three groups' preferences to the product. I will assume the later as a single time point study. If the outcome is ordinal - poor, suitable, excellent, then you can use ordinal regression. The groups and their differences, sex, age, education, race...etc, would be the independent variables and the outcome would be their evaluation responses: poor, suitable, excellent. If you have a simple better or worse than the standard, then you can use logistic regression where the outcome is 'the new product is better' versus ' the new product is worse'. If the metric of the product could be scaled, you can use regression analysis. The outcome would be a scale (1-25, 1-50) of attributes associated with the product. The more attributes the higher the score. Then place the groups and their differences a the independent variables. From the beta coefficients and their p-values, you will see the differences (providing the model is fit by p-value significance and adequate classification.
Thank you very much Prof Joan for your very brief response. Best Regards
Anyone can suggest an appropriate quantitative research design for the evaluation of the developed product among three targeted groups?
It depends on your research objectives, research questions & hypotheses e.g.
- comparing 3 groups' reactions towards the developed product (e.g. analysis of variance).
- how the product is impacting the 3 targeted groups (e.g. experimental study).
- how the product is influencing the respondents' attitudes or behaviors etc. from the 3 targeted groups (e.g. correlational study).
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