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Correlation Matrix –
Construct-Related Evidence of Validity
•
•
1
Correlation Matrix –
Construct-Related Evidence of Validity
2
Correlation Matrix –
Construct-Related Evidence of Validity
3
Correlation Matrix –
Construct-Related Evidence of Validity
4
Correlation Matrix –
Construct-Related Evidence of Validity
5
These items
target
“Reading
Efficacy or
Confidence”
Correlation Matrix –
Construct-Related Evidence of Validity
6
These items
target
“Math
Efficacy or
Confidence”
Correlation Matrix –
Construct-Related Evidence of Validity
7
Correlation Matrix –
Construct-Related Evidence of Validity
8
Correlation Matrix –
Construct-Related Evidence of Validity
9
Here we have High Inter-Item Correlation for these three items targeting
“Reading Efficacy” (.70 or above is considered high)
Correlation Matrix –
Construct-Related Evidence of Validity
10
Here we have High Inter-item Correlation for these three items targeting
“Math Efficacy”
Correlation Matrix –
Construct-Related Evidence of Validity
11
This is evidence of “Convergent Validity” for each of these constructs
because the items within each scale are highly correlated
Correlation Matrix –
Construct-Related Evidence of Validity
12
Low INTER-Scale Correlation between
Scale 1 items and Scale 2 items.
Correlation Matrix –
Construct-Related Evidence of Validity
13
This is an example of
“Divergent Validity”
because the scales
diverge from one
another.
Correlation Matrix –
Construct-Related Evidence of Validity
14
Meaning, items
targeting “Reading
Confidence” do not
correlate well with
items targeting
“Math Confidence”
Correlation Matrix –
Construct-Related Evidence of Validity
15
Meaning, items
targeting “Reading
Confidence” do not
correlate well with
items targeting
“Math Confidence”
This is what you
would expect, since
the items target
different traits or
constructs.

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Establishing Construct Validity using a Correlation Matrix with Survey Data

Editor's Notes

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