Abstract:We provide a psychometric analysis of commonly used performance indices of the d2 sustained-attention test, and give methodical guidelines and recommendations, based on this research. We examined experimental effects of repeated testing on performance speed and accuracy (omission and commission errors), and further evaluated aspects of test reliability by means of cumulative reliability function (CRF) analysis. These aspects were also examined for a number of alternative (yet commonly used) scoring techniques … Show more
“…Also, the correlation coefficients indicate that some of the TOVA measures are not sufficiently reliable, which is particularly true for the Response time variability score. This is consistent with other research; For example, a study found that the performance variability measures in the d2 attention test should be interpreted with caution as they lack reliability [16]. Another study demonstrated (by means of simulation analysis on grounds of classical test theory) that measures of performance variability can never achieve the same degree of reliability as compared to measures of central tendency (i.e., mean scores) [42].…”
Section: Discussionsupporting
confidence: 88%
“…To measure attention, we used the Test of Variables of Attention (TOVA) which has similarities with the d2 Sustained-Attention Test [16]. The TOVA is a computerized test measuring attention, that has been used to explore multiple health and developmental risks in the exploration of attention [17–23].…”
BackgroundWe aimed to study the effects of schooling on aspects of attention using the Test of Variables of Attention (TOVA) among children in rural Burkina Faso.MethodsWe re-enrolled children of a previously community-based cluster randomized exclusive breastfeeding trial in rural Burkina Faso. A total of 534 children (280 boys and 254 girls) aged 6 to 8 years were assessed using the TOVA. We examined the effect size difference using Cohen’s d, ANOVA and conducted regression analyses.ResultsForty nine percent of the children were in school. Children not in school performed poorly with a small effect size difference for ‘Response Time’, ‘Errors of omission’, and ‘Errors of commission’ compared to children in school. The effect size difference was moderate for ‘Response Time Variability’, and ‘D prime score’.ConclusionSchooling affects different aspects of attention in rural Burkina Faso. In settings where literacy and schooling rate is low, public sensitizations of the benefits of schooling need to be reinforced and advice on sending children to school need to be provided continuously.
“…Also, the correlation coefficients indicate that some of the TOVA measures are not sufficiently reliable, which is particularly true for the Response time variability score. This is consistent with other research; For example, a study found that the performance variability measures in the d2 attention test should be interpreted with caution as they lack reliability [16]. Another study demonstrated (by means of simulation analysis on grounds of classical test theory) that measures of performance variability can never achieve the same degree of reliability as compared to measures of central tendency (i.e., mean scores) [42].…”
Section: Discussionsupporting
confidence: 88%
“…To measure attention, we used the Test of Variables of Attention (TOVA) which has similarities with the d2 Sustained-Attention Test [16]. The TOVA is a computerized test measuring attention, that has been used to explore multiple health and developmental risks in the exploration of attention [17–23].…”
BackgroundWe aimed to study the effects of schooling on aspects of attention using the Test of Variables of Attention (TOVA) among children in rural Burkina Faso.MethodsWe re-enrolled children of a previously community-based cluster randomized exclusive breastfeeding trial in rural Burkina Faso. A total of 534 children (280 boys and 254 girls) aged 6 to 8 years were assessed using the TOVA. We examined the effect size difference using Cohen’s d, ANOVA and conducted regression analyses.ResultsForty nine percent of the children were in school. Children not in school performed poorly with a small effect size difference for ‘Response Time’, ‘Errors of omission’, and ‘Errors of commission’ compared to children in school. The effect size difference was moderate for ‘Response Time Variability’, and ‘D prime score’.ConclusionSchooling affects different aspects of attention in rural Burkina Faso. In settings where literacy and schooling rate is low, public sensitizations of the benefits of schooling need to be reinforced and advice on sending children to school need to be provided continuously.
“…Efficacy was studied and evaluated using commonly accepted tests [61][62][63] for perceived stress (PS), attention, concentration, and visual-scanning speed, and a computerized MT for the assessment of cognitive functions (learning, memory, and attention; for details, see Box A1 and Figure A3 in Appendix C).…”
Background: The aim of this pilot study was to compare the efficacy of hydroponically cultivated red Panax ginseng Meyer root preparation (HRG80) and traditionally harvested six-year-old white P. ginseng standard preparation (PGS) with placebo in preventing symptoms of stress. Methods: The effects of HRG80, PGS, and placebo capsules were studied in 50 tired healthy subjects in a three-arm, randomized, double-blinded, placebo-controlled crossover trial. Efficacy-outcome measures included the accuracy of processing the d2 test for cognitive functions, obtained accuracy score in a computerized memory test, and the perceived-stress (PS) score. Results: A statistically significant interaction effect between time and treatment (p < 0.0001) was observed in the attention d2 and memory tests, indicating that HRG80 treatment was more beneficial than that with a placebo. The effects of PGS were better than those of the placebo, but the difference was not statistically significant. There was significant difference between the effects of HRG80 and PGS (p < 0.0001) that were observed after single (Day 1) and repeated administrations on Days 5 and 12 of treatment. Conclusion: Overall, HRG80 treatment was significantly superior compared to that with the PGS and placebo regarding attention, memory, and PS scores after single and repeated administrations for 5 and 12 days.
“…The d2 test of attention (Brickenkamp, 1962) is a widely used paper-and-pencil task measuring visual attention, concentration, and sustained attention (Bates & Lemay, 2004;Steinborn, Langner, Flehmig, & Huestegge, 2018). In this test, 14 lines of 46 characters in each line are presented to participants.…”
Individuals with burnout often report having difficulties with concentration and memory in everyday life. However, empirical evidence on cognitive decline using performance‐based measures is limited and often obtained on small clinical samples. The aim of the present two studies was to investigate cognitive correlates of emotional exhaustion on otherwise healthy populations at different life stages with varying degrees of burnout. A total of 201 graduate and undergraduate students participated in Study 1, and a heterogeneous sample (N = 203) of working individuals took part in Study 2. Cognitive performance was assessed by self‐reported cognitive difficulties and three performance‐based cognitive tests of sustained attention, inhibition of irrelevant information, and inhibition of prepotent responses. Controlling for gender, age, and depression symptoms, multiple regression analyses in Study 1 indicated a positive relationship between emotional exhaustion and self‐reported cognitive difficulties but no correlation with the performance‐based cognitive measures. A similar pattern of results emerged in Study 2. However, we found tentative evidence for cognitive impairment on the sustained attention measure. The results of these two studies partially support previous findings and extend the literature on cognitive aspects of burnout.
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