kaplan mt355 unit 8 quiz

To determine the degree to which the variables in a cross-tabulation analysis are independent of one another, a researcher should use

cross tabulation variable independence test.

Pearson chi-square test of independence.

regression analysis.

Cramer's V.

Kendall's coefficient of concordance.

Question 2. Question :

Given a cross tabulation between years of education and income, we would compute percentages in the direction of years of education because

the probability that given X income you will have Y years of education makes sense.

the probability that given X years of education you will have Y income makes sense.

It doesn't matter which way you do it.

Both a and b.

None of the above.

Question 3. Question :

The purpose of the coding process is

to transform raw data into symbols.

encrypt the raw data so that it is secure from unauthorized use.

determine if the raw data meets minimum quality standards.

detect incorrect or invalid responses.

separate completed questionnaires from incomplete ones.

Question 4. Question :

Which of the following is FALSE about cross tabulations?

Cross tabulations work equally well with continuous measures that have been recast as categorical measures.

Cross tabulations are used for studying the relationships between two (or more) categorical variables.

Recasting continuous measures into categories may result in lowered statistical power.

Cross tabulation seeks to investigate the influence of the independent variable on the dependent variable.

Recasting continuous measures into categories almost never results in the loss of information.

Question 5. Question :

When performing cross tabulations, percentages are always calculated in the direction of the

dependent variable.

independent variable.

causal variable.

Both a and b.

Both b and c.

17 Which of the assumptions listed below are necessary in order for the coefficients in a partial regression equation to be interpreted as the average change in the criterion variable associated with a unit change in the appropriate predictor variable holding other predictor variables constant?

a. The predictor variables must be correlated.

b. The variance among predictor variables must be equal.

c. The criterion variable must be normally distributed.

*d. The predictor variables must be uncorrelated.

e. None of the above are necessary assumptions.

Points Received: 3 of 3

Question 6. Question :

The following categories of ages are ____ and ____, but not ____.

18-24

25-34

35-44

45-54

55 and over

closed-ended, exhaustive, mutually exhaustive

open-ended, mutually exclusive, exhaustive

closed-ended, mutually exclusive, exhaustive

exhaustive, mutually exclusive, open-ended

None of the above.

Question 7. Question :

In ANOVA, the independent variables are typically called

treatments.

factors.

F-statistics.

causal variables.

tabulations.

Question 8. Question :

Which

Use as many columns as necessary for the field.

Locate only one character in each column.

Use alphabetic codes if possible.

Use consistent codes for similar types of responses.

Code in an identification number for each questionnaire.

Question 9. Question :

In most multivariate analyses, the goal is to see whether one _________ variable has an influence on another __________ variable.

independent, predictor

predictor, outcome

independent, outcome

outcome, dependent

Both b and c.

Question 10. Question :

The editing process involves

: the inspection of the data received from each sample element.

the correction of the data received from each sample element.

the transformation of the raw data received from each sample element into symbols.

All of the above.

Both a and b.

Po