Understanding Statistics in Diagnostic Assessment - 27 Aug 2024 to 27 Aug 2025: Patoss
Overview
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Date(s)27 Aug 2024 - 27 Aug 2025
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Cost£31.00
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ProviderPatoss
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Delivery typeDistance
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Course levelAdvanced
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Course summary
Understanding statistics is fundamental to understanding what a diagnostic test result means and to be able to explain it clearly to the person being assessed. Quantitative data is a fundamental component of all full diagnostic reports and if a diagnosis is to be fully supported then it is essential that all data is calculated and reported with utmost accuracy.
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CPD credit hours1 hour
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Course themesReviewing principles of psychometrics, statistics, assessment and underlying theory, SpLD testing methods, interpretation, report writing, feedback and test materials
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AudienceAssessors, Support, Assessment centres, Training institutions
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Website
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SASC CodeSASC-20240822-1186
Description
Understanding statistics is fundamental to understanding what a diagnostic test result means and to be able to explain it clearly to the person being assessed. Quantitative data is a fundamental component of all full diagnostic reports and if a diagnosis is to be fully supported then it is essential that all data is calculated and reported with utmost accuracy.
The course will cover:
- What is a standardised test?
- Understanding the normal distribution of a population – the normal distribution curve.
- Ways of measuring a population distribution
-Descriptive statistics
-Standard deviation
-Standard scores
-Percentiles
-Scaled scores
-Descriptors – what does average mean
- Converting between scores
- Understanding accuracy – significance, standard error and probability ranges
- Composite scores and indexes – when to use and when to exclude
- Visualising data to help understanding.
- The course will use examples from the SDMT, TOMAL-2 and the WRIT. It will be helpful to have the manuals for these tests available but not essential.
Learning outcomes
Delegates will understand:
- the process of standardisation and the results of the standardisation process – reliability and validity
- the normal distribution of a population – the 68-95-99.7 rule
- calculating standard deviation, standard error, z-scores and probability ranges from manuals
- creating their own data visualisations
Course prerequisites
Delegates should be assessors or hold an equivalent level 7 qualification.