Author Question: Which of the following items is different when comparing probability sampling and nonprobability ... (Read 28 times)

skymedlock · **on:** Jul 8, 2018

Which of the following items is different when comparing probability sampling and nonprobability sampling?

a. The type of descriptive statistics applied to the sample
b. The size of the sample
c. The relative chance of being selected as a study participant
d. Whether or not the findings can be generalized

Question 2

A correlational researcher reports that the strength of the relationship between X and Y is near 0 (r = 10.03). What does this mean, relative to prediction?

a. If X is present, Y is only somewhat likely to be present.
b. If Y is absent, X will also be absent.
c. If X is present, there is no guarantee at all that Y will be present.
d. If Y is absent, X will always be present.

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

Answer to Question 1

ANS: C
Sampling is a process of selecting subjects, events, behaviors, or elements for participation in a study. Random sampling methods usually provide a sample that is representative of a population, because each member of the population has a probability greater than zero of being selected for a study. This is not true of nonrandom sampling methods, in which not every member of the population has an opportunity for selection to the sample. Descriptive statistics applied to the sample are identical. The size of the sample doesn't vary depending on type of sample chosen. Generalization of the findings is possible under either condition.

Answer to Question 2

ANS: C
Correlational research examines a linear relationship between two or more variables and determines the type (positive or negative) and degree (strength) of the relationship. The strength of a relationship varies from 1 (perfect negative correlation) to +1 (perfect positive correlation), with 0 indicating no relationship. The positive relationship indicates that the variables vary togetherthat is, the two variables either increase or decrease together. The negative or inverse relationship indicates that the variables vary in opposite directions; thus, as one variable increases, the other variable decreases.