Research methods 1/2 Flashcards
Operationalise definition
Clearly defining variables in terms of how they can be measured
What are the 3 (4) types of hypothesis?
Alternative
* Directional
* Non-directional
Null
When to use a directional hypothesis
When there is previous research that can predict the direction of results
When to use a non-directional hypothesis
When there is no previous research, OR contradictory previous research so you cannot predict the direction of results
How to writer a null hypothesis
When you predict there will be ‘no difference’ between the IV and DV
How to write a non directional hypothesis
Write there ‘will be a difference’ between the IV and the DV
How to write a directional hypothesis
When you write one variable will be more/less …
Difference between an aim and hypothesis
Aim = what you aim to study
Hypothesis = what you predict will happen
What is an extraneous variable
Something ( that is not the IV) that AFFECTS BOTH GROUPS e.g. background noise in both conditions
Does not vary systematically with the IV
What is a confounding variable
Something that is a major advantage or disadvantage for ONE CONDITION (basically a new IV)
Does vary systematically with the IV
What is demand characteristics
Clues that may help a participant to guess the aim of the study and so change their behaviour
What are investigator effects
How the researchers behaviour may affect the outcome of the experiment (often unconscious actions or may be fraud)
What is randomisation
The use of chance methods (e.g. lottery method) to reduce the investigators unconscious bias
What is standardisation
Where there is a list of exactly everything that will be done to ensure everything is the same (increased repeatability)
What are participant variables
Any individual differences between participants that may affect the DV (e.g. age on memory)
What are situational variables
Any features of the experimental situation that may affect the DV (e.g. background noise/temperature)
What is social desirability bias
When participants may act differently to respond to what may be viewed favourably by other participants
What is a single blind design
When the participant is not aware of the aim but researcher is
What is a double blind design
When neither the researcher or participant knows the aim
What is an experimental method
The manipulation of the IV to see the effect on the DV to establish cause and effect relationships
What is a laboratory experiment
Carried out in a highly controlled environment e.g. lab or classroom, and the IV is manipulated by the researcher
What is a field experiment
When the IV is manipulated in a more everyday setting, the researcher goes into a participants usual environment rather than e.g. a lab
What is a natural experiment
The researcher measures the effect of the IV on the DV in a naturally occurring situation e.g. levels of stress in 9/11
What is a quasi experiment
When the IV is based on existing between people e.g. age or gender, no one manipulates the variable is simply exists
Strengths of a lab experiment
- Have high control over extraneous and confounding variables so any result on the DV is likely from manipulation of the IV
- Replication is more possible due to the control
Weaknesses of lab experiments
- May lack generalisability, controlled environment may be artificial - participants may behave strangely and have unusual behaviour (demand characteristics)
- Actions participants are asked to carry out may not represent everyday life (low mundane realism)
Strengths of field experiments
- Higher mundane realism as more natural
- Participants are more likely to behave more authentically especially if they are not aware of the study (less demand characteristics)
Weaknesses of field experiments
- Less control over extraneous and confounding variables, the effect between the IV and DV is lost, thus harder to replicate
- Can have ethical issues, if a participant is unaware of the study they cannot give informed consent thus may be an invasion of privacy
Strengths of natural experiments
- Provides opportunities for research that may not otherwise be undertaken for practical or ethical reasons (e.g. stress in 9/11)
- Often have high external validity as they involve the study of real world issues as they happen
Weaknesses of natural experiments
- A naturally occurring event may happen rarely which reduces the opportunity for research - also makes the experiment less repeatable as difficult to find similar situations
- Participants may not be randomly allocated to experimental conditions so bias may be involved and researcher will be less sure if cause and effect can be seen between the IV and the DV
Strengths of quasi experiments
- Often carried out in controlled conditions:
- Easier replication
- Less likely to experience extraneous or confounding variables (most of the time)
Weaknesses of quasi experiments
- Cannot randomly allocate participants to conditions and therefore there may be confounding variables
- The IV is not deliberately changed thus we cannot claim that it has caused any observable change
Difference between natural and quasi experiments
natural - IV will change naturally e.g. time of day but it cannot be manipulated
quasi - something interesting about participants that is studied but cannot be changed
What is validity
The extent to which a study measures what it intends to measure
What is internal validity
When effects are from the IV rather than an extraneous of confounding variable, demand characteristics can greatly influence this
What is mundane realism
How realistic something is to everyday life
What is external validity
How easy it is to generalise to particular places, people, times, and cultures outside of the study
What is ecological validity (EV)
How easy it is to generalise to particular settings
What is population validity (EV)
How easy it is to generalise to people
What is temporal validity (EV)
How research at a certain time reflects actual current behaviour
What is cultural validity
How easy it is to generalise to other cultures
What is a type of experiment
When the researcher has an IV that they manipulate, or is naturally occurring, how and where it takes place
What is an experimental design
How participants are allocated to the conditions of the experiment
What is independent groups
When two separate groups of participants experience two different conditions
What is matched pairs
When participants are matched together depending on a variable (e.g. memory experiment, people with similar IQs matched: 1st + 2nd, 3rd + 4th etc), one from each pair is assigned to group A or B
What is repeated measures
When all participants experience both conditions
What is random allocation
An attempt to control participant variables in independent groups so each participant had and equal likelihood of being in both conditions
What is counterbalancing
To control order effect in repeated measures: half participants in one order, half in the other order