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How do you interpret data with multiple answers?
To properly analyze multiple response questions in SPSS, your dataset should have the following structure:
- Each row (case) should represent one subject, survey response, or experimental unit.
- For a given multiple response question, each answer option should be represented in a separate column (variable).
Is a yes no question quantitative?
The quantitative questions might take the form of yes/no, or rating scale (1 to 5), whereas the qualitative questions would present a box where people can write in their own words.
How many yesses are there in a binomial question?
The results are 44 matches (“Yesses”), 6 non-matches (“Nos”). My hypothesis is that a significant number of records from the printed catalog will not be included in the online catalog. I have very, very little experience with statistical analysis and am unsure how to proceed. I appreciate any help or suggestions anybody can give me.
What makes a two sample t test valid?
To conduct a valid test: Data values must be independent. Measurements for one observation do not affect measurements for any other observation. Data in each group must be obtained via a random sample from the population. Data in each group are normally distributed. Data values are continuous. The variances for the two independent groups are equal.
Which is the best test for yes no quistions?
Yes/no is your _dependent_ variable. It is nominal, and has only two levels. If your _independent_ variable is nominal, you might use Chi-square or related tests. If you have more than one independent variable or your independent variable is not nominal, you might use logistic regression.
Is there a test to know if the number of missing entries is significant?
There’s no test to say if the number of missing entries is “significant”. That’s a matter of practical significance as determined by experts or decision makers. Thanks for contributing an answer to Cross Validated!