How good is a scale reliability of .86?
What is scale reliability?
Scale reliability is an assessment of how well your scale items measure similar constructs. The higher the score, the more likely the items measure the same construct. If the scale items are measuring the same construct, they’re considered to be reliable.
Example Scale Measurements
Last Tested: October 2020
To download the full report, click here.
Dr. Inkbot’s Cognitive Integration Scale
Scale Reliability:
Item Reliability:
Chronbach’s Alpha: .82
Scale Validity:
Content Validity Rating:
CVR Score: .80
Criterion Validity:
Predictive Validity: r = .87
Construct Validity:
EFA Results / Factorial Validity:
1-factor model is best fitting
CFA Results:
CFA measurement model is adequate
IRT Results:
3-parameter model is adequate
Convergent Validity: r = .86
Discriminant Validity: r = .85
Nominated Group Validity: Not Preformed
Last Tested: October 2020
To download the full report, click here.
Dr. Inkbot’s Cognitive Tempo Scale
Scale Reliability:
Item Reliability:
Chronbach’s Alpha: .88
Scale Validity:
Content Validity Rating:
CVR Score: .82
Criterion Validity:
Predictive Validity: r = .79
Construct Validity:
EFA Results / Factorial Validity:
1-factor model is best fitting
CFA Results:
CFA measurement model is adequate
IRT Results:
3-parameter model is adequate
Convergent Validity: r = .80
Discriminant Validity: r = .90
Nominated Group Validity: Not Preformed
Last Tested: October 2020
To download the full report, click here.
Dr. Inkbot’s Cognitive Complexity Scale
Scale Reliability:
Item Reliability:
Chronbach’s Alpha: .79
Scale Validity:
Content Validity Rating:
CVR Score: .89
Criterion Validity:
Predictive Validity: r = .87
Construct Validity:
EFA Results / Factorial Validity:
1-factor model is best fitting
CFA Results:
CFA measurement model is adequate
IRT Results:
3-parameter model is adequate
Convergent Validity: r = .80
Discriminant Validity: r = .80
Nominated Group Validity: Not Preformed
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