How can we determine if a survey is actually measuring what it's supposed to measure?that the survey is measuring what it was designed to measure, or the researcher has received a statement from another researcher indicating that they believe the instrument is measuring what it was designed to measure. Here is a quote from our statistics book Survival Statistics "Validity refers to the accuracy or truthfulness of a measurement. This is a simple concept, but in reality, it is extremely difficult to determine if a measure is valid.There is no significant difference between the level of male and female satisfaction with the service.There is no significant relationship between managerial level and support of the new budget.The result of a statistical test will enable you to either 1) reject the null hypothesis, or 2) fail to reject the null hypothesis. When you say that you "reject the null hypothesis", it means that you are reasonably certain that the null hypothesis is wrong.When you say that you "fail to reject the null hypothesis", it means that you do not have enough evidence to claim that the null hypothesis is wrong.Examples of non-testable research questions are: What do customers feel is fair price for the new product? How do customers feel about the quality of our products?
There is a significant difference between the productivity of plant A and plant B. Instead, you must turn the hypothesis into a null hypothesis."Non-testable" means that the research question cannot be answered by performing a statistical test.The answers to these questions might be important to know, but the decision making criteria does not involve a statistical test.Here are a few examples of how you might phrase your goals and objectives: The goals of the study are easily transformed into research questions.Once again, research questions are global and broad, and they are not the same as the questionnaire items.For example, imagine that we've done our survey, and now we need to decide what constitutes satisfactory service? There is no exact cutoff point where we would say "yes" our customers are satisfied, or "no" they are not.When we ask questions like this, it's important to establish a decision making guideline before doing the survey.Business and social science researchers often ask non-testable research questions.The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.It is perhaps more important to ask questions that involve decision making criteria.Business research usually seeks to answer one or more testable research questions.