The questionnaire is going to be used for descriptive statistics. The parameters that are to be used are employee voice, technology usage, autonomy, team work, loyalty, motivation, monetary rewards etc. Do I need to test the reliability and validity of this kind of questionnaire.
Yes! testing the questionnaire might help in identifying how the respondents are likely to understand each of the questions. Understanding the questions is what will lead to getting the right answer, thus you can be able to adjust questions that are not well understood by the respondents. therefore, I suggest testing the questionnaire will improve the quality of the research.
Hello,
what you need to test is the reliability of your scales. I see this as a minimum. In case you retrieve on well-established scales, you do not necessarily need to test fo validity. However, if you mixed up items to form a scale, then this is also a must.
Designing a new questionnaire needs to test the questionnaire's reliability and its validity. You may utilize Structural Equation Modeling (AMOS) for determining the questionnaire`s validity.
Of course you should do it, if you will create a new scale by combining items form different scales.
However, if you will use each scale or one of the subdomains of a scale which was developed in your lungage and used fit similar sample groups just ilke ite original form, to give an acceptable internal consistency coefficient value will be enough.
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