Practical Issues in Research Terms Flashcards
operational definition
a working definition of a complex or abstract idea that is based on how it is measured in a research project
Variable
an element in a research project that, when measured, can take on more than one value
Why use a Literature Search when defining measurements?
- Identify others methodologies
- Avoid simple repetition
- See operational definitions/variables of other research
Types of Variables
- Independent variables
- Dependent variables
- Extraneous variables
- Confounding variables
Determining Research Setting - Pros/Cons of Laboratory Research
- Often for theoretical research
- Not a natural setting
- Greater control of the situation
Determining Research Setting - Pros/Cons of Field Research
- Often for applied research
- More natural setting
- Less control of the situation
Determining Number of Participants - Rules
- need fewer participants for those similar
- need more participants for those dissimilar
- Small effects require larger samples to spot significant patterns
- Large effects require smaller samples to spot significant patterns
Sampling Techniques - Probability Sampling
- Simple Random Sampling (SRS)
- Systematic sampling
- Stratified sampling
- Cluster sampling
Sampling Techniques - Systematic Sampling
- every nth person is chosen
Sampling Techniques - Stratified Sampling
- Subpopulations are identified
- People selected randomly from subpopulations
- ensuring representation of groups that might be missed in SRS
Sampling Techniques - Simple Random Sampling (SRS)
- Every person has a specified probability of being included
Sampling Techniques - Cluster Sampling
- Groups of people are identified (e.g., based on location)
- Participants randomly selected from the groups
- Different from stratified random sampling in that people in the groups do not share particular characteristics (other than location)
Non-Probability Sampling
- Convenience Sampling
- Quota Sampling
- Purposive (Judgemental) Sampling
- Chain-Referral Sampling
Non-Probability Sampling - Convenience Sampling
- Using whatever sample is accessible
- Typical characteristics = Students, Age 18–22, Female,Taking psychology courses, Educated
Non-Probability Sampling - Quota Sampling
- Creating subgroups (e.g., female, male) in convenience sample
- same limitations as other nonprobability sampling techniques