Chapter 9 Flashcards
What are the options for manipulating the independent variable?
How are participants going to experience the independent variable?
1. Straightforward manipulation (present material then ask what they were supposed to remember, could also do a jury decision)
vs. Staged manipulation (Used to create psychological state or simulate real world situation (uses a confederate- an actor), common in social psychology)
- Mundane (lab representative of real lie, ) vs. experimental realism (represent emotional response, mimic feelings or emotions)
Manipulating independent variable
Ensure manipulation strong enough to detect differences
ex. studying the effect of crowding-make sure they’re actually in crowded environment
* Consider the cost of the manipulation (can you afford equipment, can you afford to hire a confederate or payment to participants)
* Manipulation checks (does the independent variable induce the intended effect (checks construct validity))
ex. manipulating the effect of anxiety on memory - you would need to include a scale
* Change procedures before actual experiment
* Examine if problems are with your IV
* manipulation checks used to know what went wrong
Measuring the Dependent Variable
Three types of measurements
* Self-report: questions reporting on how you think/feel/attitudes
* Behavioural: recording behaviour (look at specific time period and how often they demonstrate it) (choosing which test depends on research question)
* Physiological: recording any type of change within the body
ex. Measuring the Dependent Variabl Galvanic skin response: test for sweat (anxiety)
- Electromyogram (muscle tension)
- electrocardiogram (measuring heart rate)
- Electroencephalogram
- Functional MRI
Issues to consider while measuring the dependent variable
- Sensitivity of the DV: must be sensitive enough to detect differences
ex. likert scale more sensitive and granular than “yes or no” - Ceiling Effects:
- task too easy everyone does well no real results or difference
- Floor Effects:
- Task is too hard, everyone does poorly, no differece or results
- Multiple dependent measures:
- Validated and reliable mesure
- Valuable but not always feasible
- depends on time $$ sometimes you just run multiple tests instead
- Order and cost considerations