Chapter 2 Flashcards
Case study
-Deep, rich investigation of a single case (one participant, small group)
-Used for rare phenomena (e.g. brain injury, cults, diesease, etc.)
-Pros: real-life observation, rich description
-Cons: limited generalizability
Correlational Research
-Observational or survey methodology
-Pros: Easy to get large samples, can ask about wider variety of events than can be manipulated in a lab, easier to ensure generalizability
-Cons: Self-report biases, unknown third variables, etc.)
Correlation
An expression of the relationship between 2 variables
-Positive: Temperature and popsicle consumption
Negative: Temperature and hot coco consumption
Magnitude
-The size of intensity of a phenomena
-Can vary from 1 to -1
Absolute Magnitude
The STRENGTH of a correlational relationship, a larger number=stronger relationship
-E.g. r=87 is stronger than r=+23
Why can’t correlation tell us about causation?
-Only shows the relationship between two variables, not a causal relationship
-Possible third variables
Experiment/Experimental research
Manipulation of one set of variables to assess the effects on other variables
-Pros: Can draw causal inferences
Independent Variable
-Hypothesized variable, what’s being manipulated, must be operationalized/specified, and different levels of it must be randomly assigned
Dependent Variable
-The result of the manipulation of IV
Good research
-Avoids confounds
-Avoids bias
-Feels psychologically “real”
-Treats participants ethically
Confound
-Any alternative variable that covaries with the experimental condition that could explain differences between experimental groups
-Ex. Zendaya being morning experimenter and Dave Chapelle was the evening experimenter. Ppl will be more receptive to Zendaya than Dave
How to avoid confounds
-Rigid Control: Every participant’s experience is controlled/identical except for the manipulation
-Randomly vary as many “nonessentials” as possible so any differences presumable average out
Scientific Method
- Theory
- Hypothesis
- Research
4 Research either supports or refutes the theory - You either discard or revise the theory OR strengthen the theory
Occam’s razor
Theory developed by William of Occam
-The simpler the theory, the better
Operational Definition/Operationalize
-Definitions that qualify (describe) and quantify (measure) variables so that they can be understood objectively
Why might studies not replicate?
-False positive: Produces a seemingly trustworthy result by CHANCE
-Questionable research practices (small, samples, HARKing, P-hacking, Underreporting null effects)
HARKing
-Hypothesizing after results are known
P-hacking
Running statistical tests over and over with different variations until you get a trustworthy result