PSYB04H3 Lecture Notes - Lecture 8: Control Variable, Internal Validity, Dependent And Independent Variables

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19 May 2018
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PSYB04
LEC 8 - INTRODUCTION TO EXPERIMENTAL RESEARCH
March 2, 2017
Chapter 10
Experimental Variables
Experiment : researchers manipulated at least one variable and measured another
Can take place in a lab and just about anywhere else
Manipulated Variable: variable that is controlled
When researchers assign participants to a particular level (value) of the variable
Measured Variable: records of behaviour or attitudes
Self reports, behavioural observations, or physiological measures
After experimental situation set up→ researchers record what happens
→ Independent and Dependent Variables
Independent variable →
manipulated variable
Independent variable’s levels are called conditions
Researcher has some “independence” in assigning ppl to diff levels of this
variable
Dependent Variable →
aka “outcome” variable
Measured variable
How a participant acts on the measured variable depends on the level of
independent variable
Researchers have less control over dependent variable
Manipulate the independent variable and observe what happens to ppl’s
self-reports, behaviours, or physiological responses
→ Control Variables
When researchers manipulate an independent variable → need to make sure they’re
varying only one thing at a time
Researchers also control potential third variables
Holding all other factors constant b/w the levels of the independent variable
Allow researchers to separate one potential cause from another → eliminate
alternative explanations for results
Important for establishing internal validity
Control variable →
any variable that experimenter holds constant on purpose
Why Experiments Support Causal Claims
3 rules for causation:
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1.
Covariance →
is causal variable related to effect variable? Are distant levels of the independent
variable associated w different levels of the dependent variable?
2.
Temporal Precedence →
does the causal variable come before the effect variable in time?
3.
Internal validity →
Are there alternative explanations for the results?
→ Experiments Establish Covariance
Independent variables answer “compared to what?”
Experiment is better source of info than your own experience
Allows you to ask the question: “compared to what?”
If independent variables didn’t vary → study cannot establish covariance
Covariance: It’s also about the outcome
Control groups, treatment groups, and comparison groups
Control group: level of an independent variable that’s intended to represent a
neutral condition
When study has control group, the other level(s) of the independent
variable called treatment groups(s)
Placebo group: when control group exposed to an inert treatment
Example: a sugar pill instead of actual medication
Not all experiments need a control group
All experiments need comparison group → researchers can compare one
condition to another
Comparison group doesn’t need to be a control group
→ Experiments Establish Temporal Precedence
Experimenters manipulate the independent variable to ensure that it came first in time
Advantage of experimental designs
→ Well-Designed Experiments Establish Internal Validity
Study must ensure that the causal variable, and not other factors, is responsible for the
change in the effect variable
Interrogate internal validity by exploring potential alternative explanations
Confounds: alternative explanations
Potential threats to potential validity
Not sure what is causing change in the dependent variable
Design confounds
Experimenter’s mistake in designing the independent variable
Systematically varies along with the intended independent variable → therefore
serves as alternative explanation for the results
Selection Effects
Occurs in an experiment when the kinds of participant in one level of the
independent variable are systematically diff from those in the other
Can occur when experimenters let the participants choose which group they want
to be in
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Document Summary

Experiment : researchers manipulated at least one variable and measured another. Can take place in a lab and just about anywhere else. When researchers assign participants to a particular level (value) of the variable. Measured variable: records of behaviour or attitudes. Self reports, behavioural observations, or physiological measures. After experimental situation set up researchers record what happens. Researcher has some independence in assigning ppl to diff levels of this variable. How a participant acts on the measured variable depends on the level of independent variable. Researchers have less control over dependent variable. Manipulate the independent variable and observe what happens to ppl"s self-reports, behaviours, or physiological responses. When researchers manipulate an independent variable need to make sure they"re varying only one thing at a time. Holding all other factors constant b/w the levels of the independent variable. Allow researchers to separate one potential cause from another eliminate alternative explanations for results.

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