Author Question: Depression is measured by the Beck Depression Inventory, which adds up scores from 21 items to ... (Read 36 times)

bobthebuilder · **on:** Jul 8, 2018

Depression is measured by the Beck Depression Inventory, which adds up scores from 21 items to provide a total value ranging from 0 to 63. What level of measurement is this?

a. Nominal
b. Ordinal
c. Interval
d. Ratio

Question 2

Inclusion criteria and exclusion criteria in sample selection are mutually exclusive and mutually exhaustive. A researcher has a list of all of the study's inclusion and exclusion criteria.

These then must be sorted into an inclusion list and an exclusion list. The method of sorting may be considered
a. Nominal
b. Categorical
c. Interval
d. Ratio

swimkari · **Reply #1 on:** Jul 8, 2018

Answer to Question 1

ANS: C
In interval level of measurement, distances between intervals of the scale are numerically equal. Interval scales are assumed to be a continuum of values. They are almost exclusively manmade scales, measures, inventories, and so forth. Nominal level of measurement is the lowest of the four measurement levels or categories. It is used when data can be organized into categories of a defined property but the categories cannot be ordered. It merely names. Data that can be measured at the ordinal level can be assigned to categories of an attribute that can be ranked. Ratio level of measurement is the highest form of measure and meets all the rules of the lower forms of measures. It uses the real number scale, on which zero means none of the variable being measured.

Answer to Question 2

ANS: A
Nominal level of measurement is the lowest of the four measurement levels or categories. It is used when data can be organized into categories of a defined property but the categories cannot be ordered. A study might have inclusion or exclusion sampling criteria (or both). Inclusion sampling criteria are those characteristics that a subject or element must possess to be part of the target population. Exclusion sampling criteria are those characteristics that can cause a person or element to be excluded from the target population. For age, for instance, excluded if under the age of 18 and included if over the age of 18 are not acceptable exclusion/inclusion criteria because they are not mutually exhaustive: what should the researcher do with someone 18include, or exclude? Similarly, excluded if 65 or younger and included if 65 or older are not mutually exclusiveagain, what does the researcher do with the 65-year-old?