Week 3 - Research Methods Flashcards
Experimental research design
Independent variable - variable that is manipulate in a study
Dependent variable - variable that is measured in a study
Experimental control
Experimental between-subjects design
experiments are conducted with 2 or more different groups
- interested in the difference between the means of these groups
example: group A given a new drug; group B given CBT
Advantages of between groups
- easier and more time efficient to run
- allows observation of variables that are not stable
Disadvantages of between groups
- many variables are unable to be controlled
- results are presented in terms of group differences; masks changes within the individual
- method of allocating to groups
Experimental within-subjects design
repeated measures
same participants involved in every level of the experiment
- usually interested in difference in the mean of the 2+ testing occassions
eg. participants tested for attention span before & after taking drug
Advantages of repeated measures
- requires fewer participants
- each participant acts as their own control
Disadvantages of repeated measures
- not amenable to measurement of unstable variables
- time & money
- may need alternate forms to assess DV to counteract practice effect
- may need to counteract cross-over effects
Placebo controls
a placebo control condition will be similar to the experimental condition, except rather than receiving the drug they receive a substance containing no active ingredients
- placebo controls are extremely useful for investigating whether any benefits derived from a drug are due to placebo effects
Three-groups design
- given a new drug
- given a proven drug
- given a placebo
Control groups/conditions
- used to ensure the effect observed is due to the variable we manipulated & not some other variable
- especially important in between-subjects designs
- control group will be identical to the groups being tested, except for the manipulation
what do three-groups designs allow for
- comparison between new drug & placebo
- comparison between new & established drugs
- experimenter to see if measure are sensitive enough to detect change
what are the alternate combinations of groups that could be used to answer alternate questions
- effectiveness of drugs vs non-pharmacological interventions
- specificity of drug effectson different mental illnesses
- cross-sectional and longitudinal
Sources of bias
- systematic errors in measurement or prediction
- experimenter and participant expectations/bias
- selection bias
Research methods
- introspection
- naturalistic observation
- case history
- survey
- test
- correlation
- experiment
Potential variables
- arousal
- cognition
- perception
- motor function
- mood
- side effect/biochemical or physiological drug effect
The more measures used creates
- a more comprehensive assessment
- a more costly experiment
- a greater need to consider ecperimental controls & logistics
Measuring performance
assessing change/differences in performance across performance domains (arousal, cognition etc) tells us something about how the drug works, and the effects it produces
Arousal levels
- arousal levels change naturally throughout the day, but can also be affected by a number of things.
- drugs are thought of as either stimulants or depressants when given in large doses.
- uppers and downers imply a relationship between arousal and mood
- high arousal does not equal high activity
Measuring arousal
- EEG
- introspection; unstructured introspection, systematic introspection
- ask an observer