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From Karnataka Open Educational Resources
108 bytes removed ,  09:07, 28 August 2012
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=== Dependent and Independent Variables ===
 
=== Dependent and Independent Variables ===
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An independent variable, sometimes called an
 
An independent variable, sometimes called an
 
experimental or predictor variable, is a variable that is being
 
experimental or predictor variable, is a variable that is being
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dependent variable, sometimes called an outcome variable.
 
dependent variable, sometimes called an outcome variable.
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Imagine that a tutor asks 100 students to complete
 
Imagine that a tutor asks 100 students to complete
 
a maths test. The tutor wants to know why some students perform
 
a maths test. The tutor wants to know why some students perform
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dependent and independent variables for the study are:
 
dependent and independent variables for the study are:
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Dependent Variable: Test Mark (measured from 0 to
 
Dependent Variable: Test Mark (measured from 0 to
 
100)
 
100)
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Independent Variables: Revision time (measured in
 
Independent Variables: Revision time (measured in
 
hours) Intelligence (measured using IQ score)
 
hours) Intelligence (measured using IQ score)
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The dependent variable is simply that, a variable
 
The dependent variable is simply that, a variable
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(this simply doesn't make sense).
 
(this simply doesn't make sense).
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Therefore, the aim of the tutor's investigation is
 
Therefore, the aim of the tutor's investigation is
 
to examine whether these independent variables - revision time and IQ
 
to examine whether these independent variables - revision time and IQ
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in some way.
 
in some way.
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In the section on experimental and
 
In the section on experimental and
 
non-experimental research that follows, we find out a little more
 
non-experimental research that follows, we find out a little more
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=== Experimental and Non-Experimental Research ===
 
=== Experimental and Non-Experimental Research ===
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Experimental research: In experimental research,
 
Experimental research: In experimental research,
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asked to do 20 hours of revision in the two weeks prior to the test.
 
asked to do 20 hours of revision in the two weeks prior to the test.
 
The tutor could then compare the marks that the students achieved.
 
The tutor could then compare the marks that the students achieved.
   
   
 
   
 
Non-experimental research: In non-experimental
 
Non-experimental research: In non-experimental
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understand the different characteristics amongst variables. This is
 
understand the different characteristics amongst variables. This is
 
discussed next.
 
discussed next.
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=== Categorical and Continuous Variables ===
 
=== Categorical and Continuous Variables ===
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Categorical variables are also known as discrete
 
Categorical variables are also known as discrete
 
or qualitative variables. Categorical variables can be further
 
or qualitative variables. Categorical variables can be further
 
categorized as either''' nominal, ordinal or dichotomous.'''
 
categorized as either''' nominal, ordinal or dichotomous.'''
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'''Nominal variables''' are variables that have
 
'''Nominal variables''' are variables that have
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by district. In this case there will be many more levels of the
 
by district. In this case there will be many more levels of the
 
nominal variable (30 in fact).
 
nominal variable (30 in fact).
   
   
 
   
 
'''Dichotomous variables''' are nominal
 
'''Dichotomous variables''' are nominal
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"type of property" would be a dichotomous variable.
 
"type of property" would be a dichotomous variable.
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'''Ordinal variables''' are variables that have
 
'''Ordinal variables''' are variables that have
 
two or more categories just like nominal variables only the
 
two or more categories just like nominal variables only the
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that "They are OK" is twice as positive as "Not very
 
that "They are OK" is twice as positive as "Not very
 
much" for example.
 
much" for example.
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Continuous variables are also known as
 
Continuous variables are also known as
 
quantitative variables. Continuous variables can be further
 
quantitative variables. Continuous variables can be further
 
categorized as either interval or ratio variables.
 
categorized as either interval or ratio variables.
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'''Interval variables''' are variables for which
 
'''Interval variables''' are variables for which
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20C and 30C is the same as 30C to 40C. However, temperature measured
 
20C and 30C is the same as 30C to 40C. However, temperature measured
 
in degrees Celsius or Fahrenheit is NOT a ratio variable.
 
in degrees Celsius or Fahrenheit is NOT a ratio variable.
   
   
 
   
 
'''Ratio variables''' are interval variables but
 
'''Ratio variables''' are interval variables but
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of measurements. So, for example, a distance of ten metres is twice
 
of measurements. So, for example, a distance of ten metres is twice
 
the distance of 5 metres.
 
the distance of 5 metres.
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=== Ambiguities in classifying a type of variable ===
 
=== Ambiguities in classifying a type of variable ===
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In some cases, the measurement scale for data is
 
In some cases, the measurement scale for data is
 
ordinal but the variable is treated as continuous. For example, a
 
ordinal but the variable is treated as continuous. For example, a
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this is a cause of great dispute.
 
this is a cause of great dispute.
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It is worth noting that how we categorise
 
It is worth noting that how we categorise
 
variables is somewhat of a choice. Whilst we categorised gender as a
 
variables is somewhat of a choice. Whilst we categorised gender as a
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continuous variable.
 
continuous variable.
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== Enrichment Activities ==
 
== Enrichment Activities ==
 
   
 
   
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