7.1: The experimental method Flashcards
The Experimental method
The Experimental method is a research method using:
1. Random allocation of participants
2. The manipulation of variables
to determine cause and effect
The Experimental method is a research method using random allocation of participants and the manipulation of variables to determine cause and effect.
This method relies on what to test a hypothesis?
The Experimental method relies on high levels of control to test a hypothesis
Variable
A variable is any object, characteristic or event in an investigation that is: 1. Manipulated 2. Measured Or, 3. Controlled
Research methods
Research methods are the means by which explanations are tested
Independent variable (IV)
The independent variable (IV) is an aspect of the research situation that:
1. Is manipulated by researchers in an investigation
Or,
2. Changes naturally
Dependent variable (DV)
The dependent variable (DV) is the factor in the experimental situation that is measured by researchers in an investigation
The dependent variable (DV) is the factor in the experimental situation that is measured by researchers in an investigation and should be caused by what?
The dependent variable (DV):
- Is the factor in the experimental situation that is measured by researchers in an investigation
- Should be caused by the independent variable
The operationalisation of variables is the process of defining variables into measurable factors and to be precise and clear about what is being manipulated or measured.
Make it what?
Make it:
- Testable
- Repeatable
Before you can write your research hypothesis, you must do what?
Before you can write your research hypothesis, you must:
- Operationalise your variables
- Think about how you will control any extraneous variables
On a graph, what goes on the y axis and what goes on the x axis?
On a graph, the:
- Dependent variable (DV) goes on the y axis
- Independent variable (IV) goes on the x axis
On a graph, the dependent variable (DV) goes on the y axis and the independent variable (IV) goes on the x axis.
The rule is what?
The rule is:
- In
- Then up
On a graph, the dependent variable (DV) goes on the y axis and the independent variable (IV) goes on the x axis.
The rule is in and then up.
The ‘in’ means what?
The ‘in’ means the independent variable (IV)
Extraneous variables
Extraneous variables are variables other than the independent variable (IV) that might affect the dependent variable (DV)
Extraneous variables are variables other than the independent variable (IV) that might affect the dependent variable (DV).
Extraneous variables are controlled, so that they do not vary across any of the experimental conditions or between participants.
What can uncontrolled extraneous variables do?
Uncontrolled extraneous variables can:
- Become confounding variables
- ‘Confuse’ the results and affect their accuracy and reliability by affecting the dependent variable (DV)
You always start with what variables?
You always start with extraneous variables
You always start with extraneous variables, then you do what?
You always start with extraneous variables, then you:
1. Gather confounding variables
Or,
2. Control variables from it
Extraneous variables are variables other than the independent variable (IV) that might affect the dependent variable (DV).
Extraneous variables are controlled, so that they do not vary across any of the experimental conditions or between participants.
Uncontrolled extraneous variables can become confounding variables and ‘confuse’ the results and affect their accuracy and reliability by affecting the dependent variable (DV).
For example, if researchers wished to investigate the effect of background music (Condition 1) or silence (Condition 2) on homework performance using 2 classes, they would have to control a number of extraneous variables.
Examples
For example:
- Age
- Homework difficulty
Extraneous variables are variables other than the independent variable (IV) that might affect the dependent variable (DV).
Extraneous variables are controlled, so that they do not vary across any of the experimental conditions or between participants.
Uncontrolled extraneous variables can become confounding variables and ‘confuse’ the results and affect their accuracy and reliability by affecting the dependent variable (DV).
For example, if researchers wished to investigate the effect of background music (Condition 1) or silence (Condition 2) on homework performance using 2 classes, they would have to control a number of extraneous variables, including age and homework difficulty.
If these were all controlled, the results would be trustworthy.
However, if the participants in Condition 1 were brighter than those in Condition 2, intelligence would be a what?
If the participants in Condition 1 were brighter than those in Condition 2, intelligence would be a confounding variable
Extraneous variables are variables other than the independent variable (IV) that might affect the dependent variable (DV).
Extraneous variables are controlled, so that they do not vary across any of the experimental conditions or between participants.
Uncontrolled extraneous variables can become confounding variables and ‘confuse’ the results and affect their accuracy and reliability by affecting the dependent variable (DV).
For example, if researchers wished to investigate the effect of background music (Condition 1) or silence (Condition 2) on homework performance using 2 classes, they would have to control a number of extraneous variables, including age and homework difficulty.
If these were all controlled, the results would be trustworthy.
However, if the participants in Condition 1 were brighter than those in Condition 2, intelligence would be a confounding variable.
The researchers could not then be sure whether what?
The researchers could not then be sure whether differences in homework performance were due to:
1. The presence of the music
Or,
2. Intelligence
Extraneous variables are variables other than the independent variable (IV) that might affect the dependent variable (DV).
Extraneous variables are controlled, so that they do not vary across any of the experimental conditions or between participants.
Uncontrolled extraneous variables can become confounding variables and ‘confuse’ the results and affect their accuracy and reliability by affecting the dependent variable (DV).
For example, if researchers wished to investigate the effect of background music (Condition 1) or silence (Condition 2) on homework performance using 2 classes, they would have to control a number of extraneous variables, including age and homework difficulty.
If these were all controlled, the results would be trustworthy.
However, if the participants in Condition 1 were brighter than those in Condition 2, intelligence would be a confounding variable.
The researchers could not then be sure whether differences in homework performance were due to the presence of the music, or intelligence.
The results would be what?
The results would be:
- Confounded
- Worthless
Confounding variables
Confounding variables are uncontrolled extraneous variables that negatively affect results
Demand characteristics
Demand characteristics are features of a piece of research that allow the participants to work out its:
1. Aim
And/Or
2. Hypothesis
Demand characteristics are features of a piece of research that allow the participants to work out its aim and/or hypothesis.
Participants may then do what?
Participants may then:
- Change their behaviour
- So frustrate the aim of the research