Using statistical data in the WRIT - Nov 2023 to Nov 2024
Overview
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Date(s)12 Nov 2023 - 12 Nov 2024
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Cost£350.00
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ProviderEducation Access
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Delivery typeDistance
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Course levelIntermediate
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Course summary
This WRIT course will give the attendee confidence in understanding and reporting in a clear and accessible way statistical significance and prevalence, to use the data accurately and judiciously and to report this clearly, in an accessible way, demonstrating their commitment to the professional standards required by practitioners.
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CPD credit hours2 hours
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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
Description
This WRIT course is SASC approved, following the most up-to-date guidelines, as issued by SASC and will contribute as part of your core CPD requirements.
The scheme is suitable for those already familiar with the WRIT but who want to ensure they are reporting statistical differences within the WRIT accurately and in accordance with the manual, such as significant differences between the verbal and visual composites, which leads onto consulting tables of prevalence. It is essential that any discussion on statistical information is clear and accurate
This scheme is cost-effective and flexible, can be arranged around your own commitments, and will:
- Give you confidence in the requirements and expectations of APC-level testing and reporting the WRIT, including issues of accessibility so that the report is useful for a wide audience;
- Confirm and reinforce your existing good practice;
- Give you confidence in writing a report to SASC standards;
- Give you confidence in submitting a report to SASC for APC;
- Reflect your commitment to the professional standards required by practitioners;
- Offer an opportunity to discuss issues from real-world practice.
Programme
The programme is designed to take 2 hours, which is 1:1 via ZOOM/ TEAMS, including joint activities and activities for you to complete during your session, with the assessor there to guide you through. These activities are designed to generate discussion points to guide your own learning and for you to incorporate into future reports.
Who is it for?
- New and established assessors who wish to update and consolidate their current good practice in report writing, bearing in mind the SASC criteria for APC renewals: point 7, making judicious and accurate use of relevant statistical data within test manuals (for example prevalence).
Learning outcomes
- To be able to confidently use relevant statistical data appropriately within the WRIT: tables of statistical significance and prevalence.
- To acquire a sound understanding of current SASC regulations and requirements for Diagnostic Assessment Reports when reporting the WRIT. This includes level of accessibility
- To report relevant statistical data appropriately within a SASC approved report
Course prerequisites
- An appropriate APC level qualification or a current APC from an awarding body
- Existing and working knowledge of using WRIT within assessments
Frequently asked questions
CPD Requirements for First time Holders of an SpLD APC [applies to all new APCs issued from 1st September 2018] The requirement for additional SASC authorised CPD detailed below is aimed at better supporting those holding an APC for the first time: Holders of an APC for the first time should participate in at least 5 hours of authorised CPD each year before their first renewal. This CPD would be authorised by SASC and listed through the SASC website and counted towards 2 hours CPD, which may not have an assessed element, each year.
Statistical significance helps measure whether a result is likely due to chance or to some factor of interest. Statistical significance does not mean it is important or rare (which is why we also look at prevalence). When a finding is significant, it simply means you can feel confident that it is not by chance.
Just because a score is statistically significant it does not necessarily mean it is important or rare. To find out if the size of a score discrepancy is very unusual, we look at prevalence. A prevalence of 10% or less is regarded as noteworthy. If a statistically significant difference is noted, then it is expected that tables of prevalence are consulted and reported in a clear and accessible fashion.