14 Aug To determine the degree to which the variables in a cross-tabulation analysis ar

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

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
____.18-2425-3435-4445-5455 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

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