I’m working on a statistics multi-part question and need an explanation to help me understand better.
- Explain the four types of measurement scales.
- How is the interval scale more sophisticated than the nominal and ordinal scales?
- Why is the ratio scale the most powerful of the four scales?
- Briefly describe the difference between “attitude rating” scales and “attitude ranking” scales, please indicate when each is used.
- Describe if attitude ranking and attitude rating are mutually exclusive.
- Why is it important to establish the “goodness” of measures and how is this done?
1.Define reliability and validity in the context of qualitative research.
2.Discuss how a researcher can assess the reliability and validity of qualitative research.
3.Describe how narrative analysis differs from content analysis.
4.Explain how deductive reasoning is different from inductive reasoning and when a researcher should apply them.
An investigation of the effectiveness of a training program to improve customer relationships included a pre-training and a post-training customer survey. To compare the differences, they computed (post-training survey score − pre-training survey score). Seven customers were randomly selected and completed both surveys. The results are shown in table below:
Pre and Post Training Survey Results
- Calculate the mean and standard deviation of the two samples.
- Decide on an appropriate method to test the hypothesis that on average the training has been effective.
- Specify the null and the alternate hypotheses.
- Calculate the sample value of the (test statistic).
- Calculate the p value.
- Assuming a 5% level of significance, decide to reject or not to reject the null hypothesis
- Interpret your decision.