qkey	q51	q52	q87	q101	q103
1000023	1	30	1	6	9
1000110	3		2	8	7
1000145	2	2	1	4	7
1000164	1	30	1	7	4
1000241	3		2	7	7
1000248	2	4	2	7	9
1000292	1	30	1	4	5
1000357	1	3	2	6	9
1000368	1	5	1	6	5
1000575	1	25	4	5	10

1) What type of variable is Question 51 (q51)?

A.

Quantitative (continuous)

B.

Quantitative (discrete)

C.

Categorical (ordinal)

D.

Categorical (nominal)

E.

An ID variable

2) What type of variable is Question 52 (q52)?

A.

Quantitative (continuous)

B.

Quantitative (discrete)

C.

Categorical (ordinal)

D.

Categorical (nominal)

E.

An ID variable

3) What type of variable is Question 87 (q87)?

A.

Quantitative (continuous)

B.

Quantitative (discrete)

C.

Categorical (ordinal)

D.

Categorical (nominal)

E.

An ID variable

4) What type of variable is Question 101 (q101)?

A.

Quantitative (continuous)

B.

Quantitative (discrete)

C.

Categorical (ordinal)

D.

Categorical (nominal)

E.

An ID variable

5) What type of variable is Question 103 (q103)?

A.

Quantitative (continuous)

B.

Quantitative (discrete)

C.

Categorical (ordinal)

D.

Categorical (nominal)

E.

An ID variable

6) Which of the following is most plausible reason why Question 101 (q101) is designed to be a categorical variable?

A.

Some people might not want to reveal their exact age due to privacy concerns.

B.

By collecting categorical data, the researchers have more analysis options.

C.

A lot of people might not know their exact age.

D.

It's always better to gather numerical data (like ages) using categories instead of collecting numbers directly.

7) Does it matter that the numeric labels for Question 103 (q103) are not in the right order? (Look at response options 6, 10, 7.)

A.

YES: Because the labels are not in the right order, this CANNOT be analyzed as an ordinal variable.

B.

NO: The numbers are just labels - the researchers can re-label them in order before analyzing them.