Research Methods: The Experimental Method Flashcards
Theory
An explanation of phenomena which is supported by evidence
Hypothesis
A clear prediction based on a theory
Empirical Method
Scientists collect data through actual experience as a form of scientific evidence
Examples of Subjects that use Empirical Methods
- Biology
- Chemistry
- Physics
- History
Why is history not considered a science if it uses the empirical method?
Unlike sciences, evidence collected from history could be bias and result in multiple interpretations rather than a set answer
Objectivity
Where research is conducted in a way that all sources of bias and interpretation are eliminated
Subjectivity
Research is conducted biasedly due to influence from personal feelings, interpretations or prejudice
Falsifiability
- The idea that theories should be proven wrong rather than proven right
- This is an idealised version of science rather than a description of how it’s actually done
Verificationism
The idea that theories are proven right using empirical testing without focusing on exceptions or outliers within research
Karl Popper
- Challenged verificationism
- Believed scientific claims are falsifiable
Replicability
Research that can be conducted by a completely different set of researchers using the original procedure that produces the exact same results
What key feature does falsifiability link to?
- Replicability
- If an experiment isn’t replicable then it can’t potentially be proven wrong (falsifiable)
Experiment
A research method that shows cause=effect by examining whether one variable changes another
Variables
A factor that changes/varies
Aim
- A simple summary of what variables the researcher intends to investigate
- Sets up the purpose of the investigation
Independent Variable
The variable of the experiment that you change
Dependant Variable
The variable that is measured as a result of the independent variable
Conditions
The different groups exposed to to different variations of the IV
Participants
People partaking in the experiment
Operationalisation
Clearly defining variables
Null Hypothesis
Researcher predicts that nothing will happen
Directional Hypothesis (one-tailed)
Researcher predicts how the IV will impact the DV in both conditions (which condition will do better)
Non-Directional Hypothesis (two-tailed)
Researcher predicts the IV will impact the DV but doesn’t state how (says one condition will do better but doesn’t specify which)
When should a directional hypothesis be used?
If there is previous research to indicate a particular result is likely
When should a non-directional hypothesis be used?
If there is no previous research to indicate a particular result
Internal validity
Confidence that the cause of a change in the DV is only because of the manipulation of the IV
Extraneous Variables (EV’s)
- Any variable present in the experiment that isn’t being deliberately measured
- Could potentially impact the DV though they aren’t the IV
Participant EV’s
Individual differences of the participants that might impact the DV (e.g. height, intelligence)