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Data evaluating the statistics of the DigiSpan memory test in adults

dataset
posted on 2024-03-04, 22:41 authored by Harvey DillonHarvey Dillon, Sharon CameronSharon Cameron, Shrutika GaikwadShrutika Gaikwad, Ponsuang Luengtaweekul

The research this data relate to is the development and evaluation of the DigiSpan memory test.

DigiSpan is a test of short-term memory and working memory. It is a computer-administered test that is based on the digit-span test, versions of which are part of many psychological and auditory processing test batteries. DigiSpan has two conditions. In forward span, the task is to repeat back the digits heard, in the same order as presented. In backward span, the digits must be repeated back in the reverse order. Both conditions start with practice trials of only two digits. In successive trials, the number of digits keeps on increasing for as long as the person keeps getting sufficient trials correct.

In addition to the standard trials of increasing length, DigiSpan includes a final five additional trials, whose length depends on the correctness of the preceding response. These trials provide an additional score, which DigiSpan combines with the traditional score. This addition increases the test precision, reducing random error variance by 32 % compared to traditional digit span tests, and also enables an internal check of the reliability of the measurement.

DigiSpan has several advantages over the much-used manual digit-span tests, in which the clinician says the stimuli, records the responses on paper, and later scores them. By contrast:

· In DigiSpan, the stimuli are presented by the computer, through headphones, with a standardised rate, clarity, style and level of presentation;

· DigiSpan automatically determines the length of each succeeding trial, including the additional five adaptive trials;

· DigiSpan automatically scores the responses, including converting the raw scores to age-appropriate scaled scores;

· DigiSpan is more accurate, because of the additional trials;

· DigiSpan monitors response consistency to flag potentially unreliable results.

Assessing memory in people, especially children, with listening difficulties is important for two reasons. First, a memory deficit may be the primary cause of the child’s real-life listening difficulties. Second, a memory deficit may cause low scores on some tests of auditory processing, resulting in the wrong conclusion being drawn about the nature of the child’s problem if the memory problem is not recognised and allowed for.

History

Research Project ID

Pure Project ID : 323615134

Q/A Log

  • FAIR assessment completed
  • Institutional review completed

FAIR Self Assessment Summary

This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool Findable -------- Does the dataset have any identifiers assigned? Global Is the dataset identifier included in all metadata records/files describing the data? Yes How is the data described with metadata? Comprehensively, using a recognised formal machine-readable metadata schema What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible ---------- How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? Standard web service API (e.g. OGC) Will the metadata record be available even if the data is no longer available? Yes Interoperable ------------- What (file) format(s) is the data available in? In a structured, open standard, machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? Standardised vocabularies/ontologies/schema without global identifiers How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? The metadata record includes URI links to related metadata, data and definitions Reusable -------- Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a machine-readable format

FAIR Self Assessment Rating

  • 5 Stars

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  • General

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