Relevance of the assessment mode in the digital assessment of processing speed

Rodriguez, Francisca S.; Spilski, Jan; Schneider, Andréas; Hekele, Felix; Lachmann, Thomas; Ebert, Achim; Rupprecht, Franca

doi:10.1080/13803395.2019.1616079

Cited by 8 publications

(7 citation statements)

References 35 publications

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“…Taken together, the present results suggest different graphomotor demands posed by various writing media (e.g., assigning the fingers to designate keys while typing), which needs to be considered in writing assessments. This is in line with recent observations by Rodriguez et al (2019), who found that the writing mode (i.e., pen and paper, pen and tablet, and finger and tablet in their study) influences processing times but not accuracy in clinical testing in adults. In the present study, children of both groups mastered these graphomotor requirements comparably well.…”

Section: Discussionsupporting

confidence: 93%

Mode effect: An issue of perspective? Writing mode differences in a spelling assessment in German children with and without developmental dyslexia

et al. 2021

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Digital technology has an increasing influence on writing processes. In this context, the question arises whether changes in writing mode (i.e., handwriting vs. computer‐keyboard typing) also require changes in writing assessments. However, data directly comparing writing mode influences in children with and without developmental writing deficits are scarce. This study investigated the influence of writing mode in German‐speaking, typically developing children and children with developmental dyslexia (DD) from two different levels. Results showed on a general level that writing mode influenced overall spelling accuracy, writing time, and self‐corrections comparably in children with and without DD. On a rule‐specific level, outcomes for writing time and self‐corrections substantiated these findings. However, as regards spelling accuracy, a mode effect was only apparent for capitalization, whereas other spelling rules were resistant to writing mode influences. Present findings suggest that a mode effect is present only for typing specific aspects (e.g., capitalization) rather than reflecting a general influence on orthographic principles (e.g., grapheme–phoneme assignment, morphologic principles). These mode‐specific aspects seem to comparably affect the writing performance of typically developing children and children with DD. We recommend writing assessments to consider that different writing modes may influence individual spelling rules differently.

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Section: Discussionsupporting

confidence: 93%

Mode effect: An issue of perspective? Writing mode differences in a spelling assessment in German children with and without developmental dyslexia

et al. 2021

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“…Digital adaptions of traditional tests can complete the paper‐pencil assessments or even replace them in the future; however, the norms collected with traditional measures may not be applicable for digital assessments. In line with previous findings (e.g., Rodriguez et al, 2019), our results revealed that the modality of the assessment had a significant effect on completion times; that is, participants completed the digital version of the test significantly faster than the paper version. Studies with older adults (Latendorf et al, 2021; Steinert et al, 2018) found the opposite effect, which was influenced by participants' familiarity with technology use.…”

Section: Discussionsupporting

confidence: 93%

“…A digitized version of TMT has been compared with the traditional paper‐pencil version previously; however, the results were inconclusive. Whereas some studies indicated that digital and paper versions are adequately comparable (Björngrim et al, 2019; Dahmen et al, 2017; Fellows et al, 2017), others reported significant differences in the measures from different modalities (Bracken et al, 2018; Rodriguez et al, 2019). The aim of the current study was to compare participant's performance on digital and paper‐pencil versions of TMT and additionally to evaluate the validity of the measures by (1) comparing the correlations between performance on the digital and the paper‐pencil version of the TMT, (2) comparing performance on both TMT versions to performance on tests measuring related executive control abilities (working memory, inhibition, and cognitive flexibility; cf.…”

Section: Introductionmentioning

confidence: 99%

Validation of a digital, tablet‐based version of the Trail Making Test in the ∆elta platform

Baykara

Kuhn

Linz³

et al. 2022

Eur J of Neuroscience

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Using digital technology for neuropsychological assessment is gaining popularity in both clinical and research settings. Digital neuropsychology offers many benefits over the traditional paper‐pencil assessments; however, their comparability requires further validation. The aim of this study was to compare a digital, tablet‐based Trail Making Test to the standard paper version. In a within‐subject design, 108 healthy adults completed both digital and paper Trail Making Test in a counterbalanced order. Each participant also performed other tasks measuring core executive abilities (inhibition, working memory, and flexibility) on the tablet. Our findings indicated that the Trail Making Test performance on the two different modalities correlated significantly. Furthermore, correlations of Trail Making Test performance with other cognitive tasks revealed that digital Trail Making Test is comparable with the paper version. However, the modality had a significant effect on Trail Making Test performance; that is, participants were generally faster on the digital platform. Taken together, our findings suggest that with new normative data, traditional Trail Making Test can be adapted successfully to a digital platform.

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“…We used iTMT-A to compare its completion time with pTMT-A. According to previous reports, the digital TMT-A and pTMT-A are different in terms of several aspects such as their operation methods, arrangement of numbers, habituation of operations, and slippage of digital surfaces 5,7 . In this study, the same versions of iPad and Apple Pencil were used with the same number arrangement as in pTMT-A.…”

Section: Discussionmentioning

confidence: 99%

Regression Based Prediction of Minimental State Examination Score Using the Tablet Based Trail Making Test

Kubo¹,

Hama²,

Furui³

et al. 2020

Preprint

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Trail making test (TMT) is one of the most extensively used neuropsychological tests. In this study, we examined the equivalence between the iPad version of TMT part A (iTMT-A) and the paper version of TMT part A (pTMT-A), and predicted the cognitive function with various data extracted from repeated TMT-A. Forty-two patients who performed five repeated TMT-A (1st–3rd: iTMT-A, 4th: pTMT-A, 5th: inverse version of iTMT-A) and Mini-Mental State Examination (MMSE) were included. The Kruskal–Wallis one-way analysis of variance revealed no statistical differences between the completion times of iTMT-A and pTMT-A. Factors contributing to the MMSE prediction were selected by stepwise multiple regression analysis and Bland–Altman plots. Then, the prediction abilities of the three models—multiple linear, partial least squares (PLS), and neural network regression—were compared. When using the completion time, the linear regression model with the 1st–5th results exhibited the highest prediction ability. However, when the move time and dwell time were used, the multiple linear and PLS regression models using the 1st and 2nd iTMT-A data exhibited the highest prediction ability. Compared with pTMT-A, iTMT-A extracted a large amount of data with fewer repetitions, and the prediction accuracy of cognitive function was improved.

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Relevance of the assessment mode in the digital assessment of processing speed

Cited by 8 publications

References 35 publications

Mode effect: An issue of perspective? Writing mode differences in a spelling assessment in German children with and without developmental dyslexia

Mode effect: An issue of perspective? Writing mode differences in a spelling assessment in German children with and without developmental dyslexia

Validation of a digital, tablet‐based version of the Trail Making Test in the ∆elta platform

Regression Based Prediction of Minimental State Examination Score Using the Tablet Based Trail Making Test

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