Class 2 - Social Structures and Interaction Flashcards
Experimental Designs
Directly manipulates variables
-Random Sampling
-Random Assignment
-Control of extraneous variables
-Manipulation of treatment
Extraneous variable
Something not being tested that can effect the outcome of the experiment
ex.) time of year, color of uniforms
Non-Experimental Designs
Variables are not directly manipulated
-Ethnographic Studies
-Twin Studies, Heritable studies
-Archival Studies, Biographical Studies
-Phenomenological Studies
-Observational studies
-Case studies
-Longitudinal Studies
Ethnographic Study
The researcher immerses themselves in the community to observe something; cultural immersion
Archival Study
Use records and research from the past
Biographical Study
Interviewing people or using records from the past
Phenomenological Study
A study that looks at a certain phenomenon
ex. impact of quarantine or schooling from home on children
Observational Study
The researcher does not make themselves known or intervene, but observes something
Case Study
Looking at one or two individuals, or one individual at a time
Longitudinal Study
Long-term study over years or decades
Between Subjects experimental design
Comparing different individuals or groups
Within Subjects experimental design
Multiple measures of the same individuals to groups; comparison within a group
ex. cortisol levels on a group that watched a horror movie at different times
Quantitative experimental design
Provides numerical results
Qualitative experimental design
Provides descriptive information
ex. what people say or write
Mixed Methods experimental design
Using between and within subjects design; Using qualitative and quantitative methods; Using several methods to see differences
Repeated Measures
Measuring something specific repeatedly over time
ex. within subjects design
Quasi-Experimental Method
There is no control group; usually just one group at different time points, possibly having multiple measures
Comparative Method
Looking at existing groups/studies; groups cannot be created
ex. smokers vs non-smokers (can’t make people smokers)
Internal Validity
Can conclude to a degree that the independent variable is responsible for the outcome;
extent to which the outcome variable is due to the intervention
ex. continue testing people and keep seeing same results = high internal validity
5 Common Threats to Internal Validity
- Impression Management
- Confounding Variables
- Lack of Reliability
- Sampling Bias
- Attrition Effects
Impression Management
Participants of an experiment adapt their responses based on social norms or perceived researcher expectations; self-fulfilling prophecy; methodology is not double blind; Hawthorne effect
Confounding Variables
Extraneous variables not accounted for in the study; another variable offers an alternative explanation for results; lack of a useful control
ex. age, gender
Lack of Reliability
Construct validity; measurement tools do not actually measure what they proper to measure; lack consistency
Sampling Bias
Selection criteria is NOT random;
Population used for sample does not meet conditions for statistical test
Population is not normally distributed/ NOT randomly sampled
ex. Stanford Prison Study - people were volunteers