Quantitative Research Designs Flashcards
1
Q
To determine causality, it must be demonstrated that:
A
- cause and effect variables are associated
- cause precedes effect
- relationship not explained by another variable
2
Q
When are quasi-experimental designs used?
A
- Used in situations where full experimental design is not possible or ethical
- Will have a control group with treatment
- Lacks randomization and/or control
- Involves manipulation of IV
- May use a non-equivalent comparison group (not randomly selected)
- As a result, one cannot make causal inferences
3
Q
What is the purpose of non-experimental designs?
A
- Understand phenomena as they naturally occur, without researcher intervention (no manipulation)
- Independent variables occur naturally
- Requires a large sample size
- Less ability to predict causal relationships
- E.g. surveys, correlational studies
4
Q
Describe survey’s as a tool in non-experimental designs:
A
- Can be used in the following:
- When little is known about variables
- Data collected via questionnaire or interview
- Can obtain great deal of info from large population in fairly economical manner (breadth but not depth)
- Information is quite accurate
- Must not attempt to determine causation
- Must be a bit cautious, extraneous variables likely present interfering with results
- Related terms: descriptive, exploratory, comparative
5
Q
Describe correlational design:
A
- Provides a means of looking at relationships between variables that cannot be manipulated
- Not identifying causation but correlation
- These can be categorized as either descriptive or predictive correlational
6
Q
What are developmental studies?
A
- Looks at data as it develops over times
- Types of correlational studies
- E.g. cross sectional [individuals experiencing phenomena at different points, like 3rd and 6th semester students, but not comparing same individuals], longitudinal, retrospective
- Attrition is huge d/t long time span of study
7
Q
What are some reasons for conducting a pilot study?
A
- Determine feasibility of conducting the study
- Develop or refine a research treatment
- Develop protocol for implementing a treatment
- Identify design problems
- Determine if the sample is representative
- Examine instrument reliability and validity
- Develop or refine data collection tools
- Check data analysis techniques
8
Q
Why are experimental designs not the most nursing research design?
A
- Complexity of problems - experiments assume that all variables involved in phenomenon have been identified
- Not all variables can be manipulated or measured
- Difficult or impractical in naturalistic settings