* not completed

. Which of the following is true about Likert Scales?

Those who think it belongs in the interval scale category would think that nonparametric tests are most appropriate to analyze data using them correct incorrect

Those who think it belongs in the ordinal scale category would think that adjacent scale points on a Likert scale are all equidistant from one another correct incorrect

There is little disagreement on how Likert scaled are classified on measurement scales. The main controversy lie in how they are analyzed correct incorrect

There is a great deal of disagreement on how Likert scales are classified in terms of measurement scales. This leads to controversy in how they are appropriately analyzed correct incorrect

* not completed

. The null hypothesis of a chi-square test of independence would state which of the following?

the two levels of a single variable are independent correct incorrect

the two variables involved in the test are independent correct incorrect

the two variables involved in the test are not independent correct incorrect

None of the above are correct correct incorrect

* not completed

. Which of the following best describes the two-way chi-square test?

it determines contingency between three or more variables correct incorrect

it is the nonparametric equivalent of the two-way ANOVA correct incorrect

it tests the independence between two variables correct incorrect

it can only use a 2 by 2 design correct incorrect

* not completed

. Which of the following distinguishes assumptions about parametric and nonparametric tests?

Parametric tests assumes equal number of participants in each condition whereas nonparametric tests don't correct incorrect

Parametric tests assume qualitative data and nonparametric tests assume quantitative or qualitative data correct incorrect

Parametric tests make assumptions based on population parameters but nonparametric tests do not correct incorrect

None of the above correct incorrect

* not completed

. Nonparametric tests generally compare...

Means correct incorrect

Medians or standard deviations correct incorrect

Counts or ranks correct incorrect

Means and standard deviations correct incorrect