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Three Defining Features of a Psychological Experiment
tests a casual hypothesis
manipulates the IV
controls other potential influences on the DV
Independent Variable
= the variable manipulated by the researcher
Dependent Variable
= the outcome measured to see weather the IV has an effect
Extraneous Variable
= any variable other than the IV that could influence the DV
Confounding Variable
= an extraneous variable that systematically varies with the IV, and could explain differences in the DV
Experimenter Expectancy Effects
= when a researcher’s expectations unintentionally influence ppt behaviour and potentially bias the results
Subject Expectancy Effect
= when ppt’s knowledge or assumptions about the hypothesis influence their behaviour or responses
Standardisation
= keeping procedures, instructions and conditions consistent to reduce extraneous influences
Single-blind study
= ppts are unaware of their condition - expectancy effects can be reduced
Double-blind study
= both ppts and experimenters are unaware - it protects both experimenter and subject expectancy effects
Random Allocation
= assigning ppts to experimental conditions by chance
reduces systematic differences between groups, making confounding by ppt characteristics less likely
Natural Group Designs
= it compares pre-existing groups
limitation = naturally occurring groups may differ in many other characteristics
Matched Groups Designs
= ppts are matched on potential confounders
limitation = important variables may be missed + matching many characteristics is difficult
Between-subject design
= different ppts complete different conditions
strength = no carry-over between conditions
limitation = ppt differences can confound results
Within-subjects design
= the same ppts complete multiple conditions
strength = controls stable individual differences - more data per ppt
limitation = order effects can influence results
Order Effects - 6 types
= occur when ppt’s responses are influenced by the sequence in which conditions are experienced
6 types:
fatigue/boredom - performance declines as ppts become tired
practice - performance improves through repetition
habituation - responses decrease after repeated exposure
sensitisation - responses increased after repeated exposure
adaptation - ppts physically adjust to conditions
contrast - earlier stimuli influence judgements of later stimuli
Counterbalancing
= involves varying the order in which experimental conditions are presented to reduce confounding in within-subject designs
Incomplete within-subject design
= each ppt completes every condition only once, but the order varies between pts
order effects are balanced between ppts
Complete within-subjects design
= each ppt completes every condition multiple times, with the order varied within that ppt
order effects can be balanced within ppts
How many possible orders are there for three experimental conditions?
= 3
3×2×1 = 6 orders
Latin Square Designs
= a counterbalancing method that uses selected orders instead of every possible order
limitation = doesn’t necessarily balance every possible preceding-condition effect
Block Randomisation
= contains one occurrence of every experimental condition
eg - three conditions
block 1 - R > G > Y
block 2 - Y > R > G
block 3 - G > Y > R
ABBA Designs
= presents a condition sequence followed by its reverse to help balance effects of presentation order
Differential Transfer
= occurs when experiencing one condition affects performance in a later condition differently from other conditions
limitation of counterbalancing because it can create carryover effects that counterbalancing may not eliminate
How to critically evaluate an experiment
Five questions to ask:
confounders = could another variable explain the results?
standardisation = were procedures and instructions consistent?
blinding = could ppt or experimenter expectations influence behaviour?
random allocation = were ppts assigned to groups by chance?
counterbalancing = if ppts completed multiple conditions, were order effects controlled?