Abstract

Tablet-adapted measures provide an efficient, accurate method of data collection for large-scale studies. The Castles and Coltheart Reading Test 2 (CC2) is a standardized paper-and-pencil measure of children’s reading ability. In the current study, the CC2 was administered to 603 children aged 7–8 years via iPad using electronic data capture software. Results indicate the tablet-adapted measure could be reliably administered by non-clinical staff and showed quantitative equivalence, i.e., comparable score distributions, to CC2 normative data. Internal consistency was good for regular and non-word lists. Findings suggest that the tablet-adapted CC2 is a viable tool for large research studies.

Highlights

  • Computerized data collection methods are increasingly utilized in clinical and populationbased research [1, 2], as they provide a potential means of improving accuracy and efficiency of data collection

  • As a z-score between -1 and 1 is indicative of a child performing at an average level, these results indicate that the mean written language scores for participants in the current study were within the typically expected range when compared to normative data

  • Mean z-scores were within the expected range for age band, while raw score means and standard deviations were similar to the normative sample for children

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Summary

Introduction

Computerized data collection methods are increasingly utilized in clinical and populationbased research [1, 2], as they provide a potential means of improving accuracy and efficiency of data collection. Computer-adapted measures overcome several limitations associated with paper-and-pencil alternatives. Computer adaptation may address possible issues of assessment fidelity, allowing administration by a non-specialist workforce and improving standardization of test administration. Direct data entry and data validation can be implemented, reducing the amount of time and resources invested in data entry, checking and cleaning [3]. The potential advantages of computer-adapted measures are greater for largescale studies where data entry and checking processes can become highly resource-intensive. With the development of portable technology, computerized assessments can likewise be conducted on tablet devices—a cheaper and more portable alternative to computers [4]

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