Deck 8: Quantitative Methods

Question 1

Distinguish between a type I error rate and a type II error rate in quantitative research.

Answer 1

A type I error rate is also called a false positive.This occurs when researchers risk stating that a relationship exists between the variable,when there is not a relationship.A type II error rate is also called a false negative.This occurs when researchers risk stating that there is no relationship,when there is actually a relationship or association.

Question 2

Researchers should rely on past studies to estimate their proposed sample size.

Answer 2

False

Question 3

Distinguish between a survey and experimental design in quantitative research.

Answer 3

A survey design provides a description of a population by studying a sample of the population.An experimental design manipulates one or more variables to evaluate the effects of the manipulation.In an experimental design,a research can isolate whether the treatment actually influences the outcome.Both designs allow researchers to help make inferences about the relationships between variables and make assumptions about how the results are generalizable to a broader population.

Question 4

Which type of validity has become the overriding objective in validity?

A)construct validity
B)discriminant validity
C)predictive validity
D)construct validity

Question 5

Describe and differentiate between internal and external threats to validity in an experimental design.Recommend at least one action that you or any researcher can take in response to both internal and external validity threats.

Question 6

Describe the information that should be included in descriptive analysis of a research study.

Question 7

Quantitative data collected at one point in time within the survey design is cross-sectional.

Question 8

Describe some of the benefits of using a survey design in quantitative research.