Cut off identification in SE

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Aug 6th, 2022
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How to cut off identification in SE

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hi guys and my name is Jonathan Lambert with the mathematics development and support services at the National College of Ireland and this short video another video in our series of videos dealing with SPSS and how to perform I suppose operations and run procedures within SPSS itamp;#39;s going to concentrate on a question that a you know that often arrives on my desk when Iamp;#39;m when Iamp;#39;m I suppose when Iamp;#39;m dealing with students that are doing Masteramp;#39;s dissertations and so on and in particular students that are using psychometric scales uh to assess particular conditions and and so on and so forth is okay I have a scale and is it possible for me to identify a cut-off point on the scale uh where the cutoff point should demarcate should be a clear demarcation of those people that have a specific condition and those compared to those people that donamp;#39;t have a specific condition and for this video Iamp;#39;m going to use a particular a particular scale

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For diagnostic or screening tests that have continuous results (measured on a scale), cut-off values are the dividing points on measuring scales where the test results are divided into different categories; typically positive (indicating someone has the condition of interest), or negative (indicating someone does not
For a test to be useful, sensitivity+specificity should be at least 1.5 (halfway between 1, which is useless, and 2, which is perfect). Prevalence critically affects predictive values. The lower the pretest probability of a condition, the lower the predictive values.
Essentially, it means separating the positives from the negatives. In drug and alcohol testing, a cut-off level is a level at which the concentration of a substance in your breath, urine, or saliva, indicates a safety risk.
Empirical ROC Curve That is, each point on the ROC curve represents a different cutoff value. The points are connected to form the curve. Cutoff values that result in low false-positive rates tend to result low true-positive rates as well. As the true-positive rate increases, the false positive rate increases.
FIT for symptomatic patients is the same test as the FIT used in the National Bowel Cancer Programme. However, the cut off level for positivity is much higher in the screening programme (120g/g faeces vs. 10g/g faeces).
A cutoff score is a benchmark used to identify the minimum qualification level on an assessment or test.
The traditional method is to identify the cut-off values is Mean2SD method. Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been proved to be beneficial statistical tools for determination of cut-off points.

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