Chapter 10: Experimental Design Flashcards
1
Q
What does reserach allow us to see?
A
- How the world changes when we change just one thing (all other things being equal)
- Can truly test theory
- great internal validity
- cause-and-effect conclusions
2
Q
Mueller and Oppenheimer, 2014
A
- Q: Is typing or taking notes by hand better for college students?
- Methods: Class prepped in advance (1/2 w paper, 1/2 w laptop). They watched a Ted talk and took notes, had a 30 min distractor, and then were tested on factual and conceptual information
- Results: Groups performed similarly on factual questions, but handwritten notes performed much better on conceptual questions
3
Q
“Yong 2017”
A
- Babies that watch adult models persist at difficult tasks are more likely to work thorugh difficult things
- Utilized 100 babies 13-18 months
- Parents sat next to babies- but did not help
- 1/2 trials babies watched someone take the same object out of a box, strucggle, and persevere
- 1/2 trials babies watched someone take the same object of a box w/o difficults
- Babies were then given a toy w a button that looks like it should do something but didn’t work
- Babies who observed the adult work tried to push the button more
4
Q
What is a quasi-experimental variable?
A
- ex. history of SUD
- things the researcher cannot manipulate
5
Q
What is a manipulated variable?
A
- independent variable
- at least 2 levels
- ex. note taking (laptop vs handwritten), ex effort (effort vs no effort)
- can have more than 1 in an experiment
6
Q
What is the measured variable?
A
- dependent variable/outcome measure
- the variable you operationalize
- can be more than 1 in an experiment
7
Q
manipulation of variables- goal
A
- systematically alter independent variable to predict/see changes in outcome variable (DV)
- Correctly predicted change: theory validated
- Incorrectly predicted change: theory falsified/discarded or theory modified w new info
8
Q
Experiments support causal claims
A
- covariance: results will show that changes to IV=changes to DV
- temporal precedence: causal variable (IV) comes first and outcome measure comes second
- Internal validity: the study rules out confounding variables and alternative explanations
9
Q
Control Variable
A
- Important to compare manipulated behavior to “normal” (control)
- One condition that is not manipulated or one condition to compare to
- Independent variable answer: compared to what?
10
Q
Internal validity: treat all groups equally
A
- Except for the IV
- So do random assignment, all groups should look like all other groups (age, sex, IQ). Only difference should be condition
- Matched groups: participants are matched on every measurement except IV
11
Q
Design Confounds
A
- Design confound: study’s manipulation. Influences more than one psychological construct. Each contruct impacts the DV.
- an extraneous variable within a research design that unintentionally influences the relationship between the independent and dependent variables, potentially leading to inaccurate conclusions about the study’s findings
- Ex. Flickering lights in attention study. Attention impaired b/c of manipulation
12
Q
What is an operational confound?
A
- due to poorly defined construct
- IV still causes changes in DV
- Just not sure what the DV actually is
- Interpretation of results is at risk
- Don’t know why experimental group changed
13
Q
What are nuisance “Third” Variables?
A
- systematically vary based on the IV
- strongly related to the DV
- example: time of day
14
Q
Why do we do random assignment?
A
- For “person” confounds
- Individual differences co-vary with the IV
- Individual differences are related to the DV
15
Q
What are selection effects?
A
- people in one level of the IV are different from people in the others
- ex. Lovass, 1987