Paper 2 Research Methods Flashcards
Co-variables?
comparisons of two variables to see for correlations
Types of hypothesis?
Experimental
Directional
Non-directional
Null
Null hypothesis?
A statement of no difference or relationship
Non directional hypothesis?
A statement where a difference/relationship is present however the direction is not stated
Directional hypothesis?
A statement that states the direction of the difference/relationship
When is a directional hypothesis used?
When previous research suggests a direction in the difference/relationship
Experimental hypothesis?
A statement where the relationship of the IV and DV is stated and the direction of the relationship
Independent groups?
One group of participants do condition A and the second group do condition B
Repeated measures?
All participants take part in all conditions of the experiment
Matched pairs?
Two groups of participants are matched based on characteristics relevant to the study
Types of experimental designs?
Matched pairs
Repeated measures
Independent groups
What are the strengths of independent groups?
Order effects do not interrupt performance
Demand characteristics are reduced
What are limitations of independent groups?
More Ps are needed
Confounding variables may be present
individual differences
What are strengths of repeated measures?
Few Ps are needed
All Ps variables are controlled
What are limitations of repeated measures?
Order effects disrupt performance
Demand characteristics
What are strengths of matched pairs?
Ps variable can be controlled better
What are limitations of matched pairs?
Time consuming
Difficult to match accurately
Only known variables are matched
Counterbalancing?
When half of Ps do condition A then B whilst the other half does visa versa balancing out effect of the order
Order effects?
The change in performance due to the order of conditions
Extraneous variables?
Any variable other than the IV that can potentially affect the DV. They dont vary systematically with the IV.
How can we control demand characteristics?
Single blind design where Ps are unaware of condition they are in
Deception by lying or distracting questions
Investigator effects?
Cues from the investigator that encourages specific behaviours
Situational variables?
Features that influence Ps within situation/environment
Participant variables?
Individual differences between Ps that affect the DV
What happens if you fail to control variables?
They can become confounding variables
Preventions of investigator effects?
Double blind design - both investigator or Ps dont know aims/hypothesis
Inter rater reliability
Preventions of situational variables?
Standardisation so keep everything the same
Procedure, instructions, counterbalancing
Preventions of participants variables?
Consider your experimental design and use matched pairs or repeated measures
If using independent groups do random allocation
Types of experiments?
Field
Quasi
Natural
Laboratory
Labouratory experiments?
Variables are controlled
Special environment
Ps are aware of experiment
Field experiments?
Researchers go to Ps usual environment so they r not aware
IV is manipulated in a natural setting
Natural experiments?
Researcher has no control over the IV as it vaires due to something/someone (natural)
Measured in field or lab
Quasi experiments?
IV can’t be manipulated as based on existing differences (age)
DV can be naturally occurring
What are the strengths of laboratory experiments?
Control over variables
Establish cause and effect relationship
Ethics
Internal validity
What are the strengths of field experiments?
High ecological validity
Reduced demand characteristics
Higher mundane realism
What are the strengths of natural experiments?
High external validity
Research opportunities
What are the strengths of quasi experiments?
Research opportunity
High external validity
Ethics
What is the limitation of quasi and natural experiments?
Confounding variables due to lack of random allocation
What are the limitations of field experiments?
Lack of control over variables
Low internal validity
Ethics
What are the limitations of laboratory experiments?
Low ecological validity
Increased demand characteristics
Low mundane realism
What is a hypothesis
Cleat and concise prediction about the possibly outcomes of the result
3 types types of measurements of the DV
Nominal
Ordinal
Interval
Nominal level?
Categorical data E.g participants choosing the responses yes or no
Ordinal variable?
Used to rank data or put the data in some sort of numerical order E.g. 0-10 scale
Interval variable?
Where data consists of equal intervals or equal measurements. This is much more objective and scientific E.g. swimmers in a race can be measured in mins and secs
Operationalising variable
Where the experiment needs to define the variables and state exactly how accurately and precisely they intend to measure or manipulate it
What are the issues with experiments
Demand characteristics
Researcher bias
Order effects/practice effects/fatigue effects
How do you overcome issues with experiments
-single blind test
-double blind test
- standardised procedures
- counterbalancing
- randomisation