Midterm 2 - Chpt. 9 Flashcards
How do we design an experiment to maximize the chances that we’ll be able to conclude that the IV caused changes in the DV?
Detect an effect if it’s there? (2 methods)
Experimental control:
- Ensuring only the IV changes across conditions
- Avoiding alternative explanations: experimenter expectancy effects, demand characteristics
Optimizing our operational definitions of the IV and the DV
- Avoiding ceiling and floor effects
- Having an appropriate pairing of strong IV and sensitive DV
Experimenter expectancy effects
A cognitive bias that occurs when a researcher knows what condition participants are in and therefore intentionally or unintentionally manipulates an experiment, thus impacting the findings. (EX: Clever Hans)
Experimenter treated Ps/data differently because they knew the expected outcome of the study
Experimenter Expectancy Effects are a threat to…
Internal validity
Solutions to Experimenter Expectancy Effects
1) a “double blind” study
2) automated instructions
3) all conditions run simultaneously
Demand Characteristics
- “A demand characteristic is any feature of an experiment that might inform participants of the purpose of the study.” - Cozby
- Threat to internal validity
- THUS, Participants might try to help/hurt you
- Be the “good participant”
- Mess up the results
₋- Socially desirability
When is deception needed?
To control demand characteristics
Straightforward Manipulation
Simple and easy - present p’s with something for the IV that will influence the DV
Staged Manipulation
1: Try to elicit a state (ex - frustration with a hard task)
2: Put participants into a situation where they actually feel part of it
Deception:
often, we deceive subjects about the real purpose of a study
- “Unrelated tasks” (filler tasks)
- Use of confederates or cover story
- Attempt to avoid demand characteristics
- NOT minimal risk (more on this later!)
- Participants can get suspicious
(Critical to debrief!!)
Pros of Straightforward Deception:
- PRO: Simple
- PRO: Cheap
- PRO: Very common
- PRO: Easy to pull off
Pros of Staged Deception:
- PRO: high experimental realism
- PRO: can often avoid demand characteristics
Cons of Straightforward Manipulation:
- CON: sometimes quite
artificial…might not really
simulate the “real world”
experience (low mundane
realism) - CON: demand characteristics
Cons of Staged Deception:
- CON: Tricky to pull off
- Ps Suspicion
- Hard to replicate?
- CON: Lots can go wrong
- May be costly
- Ethical?
Measuring Variables - types of DV in experimental designs:
○ DV in experimental designs
1. Self-report
2. Behaviours & Responses
3. Physiological
Ceiling Effect
Ps are all at maximum performance on the DV, so can’t see effect of IV
EX: question is too easy
Floor effect
Ps are all at minimum performance on DV, so can’t see effect of IV
EX: question is too hard
A strong IV…
Can cause big differences in levels of manipulation
A weak DV…
Causes little differences in levels of manipulation
Tough DVs are…
□ Resistant to change (takes a lot for people to switch their opinions)
Sensitive DVs…
Change easily
Studying an unknown topic - When would you use one over the other?
strong IV, sensitive DV
Finding a large effect - When would you use one over the other?
weaker IV, strong DV
READINGS
After stating hypothesis, deciding research designs, the next step is to…
operationalize variables and create an experiment for your participants
Turning hypothesis into a set of operations:
specific instructions, events, and stimuli to be presented to participants
2 Options for Manipulating the IV in Experiments:
- Straightforward manipulation
- Staged manipulation