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theory
an explanation for certain behaviors
study
- tests the validity of a theory
- can SUPPORT or CHALLENGE a theory, not disprove
TEACUP
T - testable; ability to be proven false
E - empirical evidence; not anecdotal, can be replicated and is reliable
A - application; can be applied to different situations
C - construct validity; variables can be clearly defined, can be reliably measured
U - unbiased; self-explanatory
P - predicts behavior; predicts something about human behavior
quantitative research methods
- emphasizes objective measurements
- determines cause-effect relationship
independent variable
causes a change in another variable (manipulative)
dependent variable
measured after manipulation of the IV
operationalized
either the IV or DV (or both) written in a way that can be clearly measured
true experiment
randomly allocates participants - lessens bias, more of a lab setting
quasi experiment
no random allocation - grouped based on existing traits/behavior
natural experiment
more of an observation of what happens rather than an experiment - outside a researchers control
experimental hypothesis
- expectation of a study
- predicts the relationship between the IV and the DV
null hypothesis
- states that the IV has no effect on the DV
- change in DV is due to CHANCE
extraneous variables
other variables that may impact the results of the study
confounding variables
- a type of extraneous variable
- affects both the IV and DV
demand characteristics
- expectancy effect: expects the hypothesis and acts to "help" by giving the right answer
- screw you effect: acts to destroy credibility of the study
- social desirability effect: answers to make them look good
researcher bias
when a researcher has expectations and only sees what they're looking for
participant variability
a limitation when the characteristics of a sample (often similar) affect the dependent variable
artificiality
when a situation is so unlikely the findings have to be questioned on validity
bidirectional ambiguity
NO cause-effect relationship but another responsible variable
repeated measured design
- one sample that receives all conditions
- participants only compared to themselves (strength)
- may demonstrate order effects and have confounding variables (limitation)
- use counter-balancing to control internal validity
order effects
boredom, fatigue, practice effect
counter-balancing
each sample group starts with opposite conditions and then switches
independent samples design
- one sample randomly allocated to one condition
- order effects are controlled (strength)
- lower participant variability (limitation
matched pairs design
- participants pre-tested and then allocated
- lessens participant variability
opportunity sampling
- "convenience sampling"
- not actually convenient but used when random sampling is impossible
- sometimes termed "accidental sampling"
purposive sampling
- not random
- when you need to test a certain trait
snowball sampling
- technique to recruit participants
- word-of-mouth
- typically for rare diseases/disorders that have their own community, participants hard to locate otherwise
stratified/quota sampling
- divide sample into distinctive groups based on traits
- draw samples from those groups and split them into controlled or agent groups
ethics
the correct rules of conduct necessary when carrying out research
6 key ethical themes in research
1. informed consent
2. freedom from coercion
3. protection from physical/psychological harm
4. protection of confidentiality/anonymity
5. risk-benefit rule
6. debriefing
informed consent
participants have to consent to be in a study
inform on:
- purpose
- right to decline
- potential risks and benefits
- confidentiality (limits)
- incentives and participants' rights
freedom from coercion
- coercion present when researcher has power over participant
- no restrictive communication
- no sense of powerlessness or questioning of self
- no strong emotional arousals or intimidation
protection from physical/psychological harm
- no physical harm (TEMPORARY pain is okay is risk-benefit rule is approved)
risk-benefit rule
- all previous themes may have their line crossed depending on the nature of the study
- any risk requires justification and must be approved by ethics board
debriefing
- a "double-check" at the end of the study
- everyone is okay, everyone's data can be used
- minimize any harm that was done during the study (if applicable), clear up misconceptions
deception
only permissible when:
- research is IMPORTANT (risk-benefit)
- there are NO ALTERNATIVES to running the experiment
- NO FORESEEABLE HARM to participants
- must be explained during debrief if used