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Chinglin Hsieh - One of the best experts on this subject based on the ideXlab platform.
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Test reTest Reliability and minimal detectable change of the d2 Test of attention in patients with schizophrenia
Archives of Clinical Neuropsychology, 2018Co-Authors: Wenshian Lu, Chinglin HsiehAbstract:Objective: The d2 Test of Attention (D2) is a commonly used measure of selective attention for patients with schizophrenia. However, its Test-reTest Reliability and minimal detectable change (MDC) are unknown in patients with schizophrenia, limiting its utility in both clinical and research settings. The aim of the present study was to examine the Test-reTest Reliability and MDC of the D2 in patients with schizophrenia. Method: A rater administered the D2 on 108 patients with schizophrenia twice at a 1-month interval. Test-reTest Reliability was determined through the calculation of the intra-class correlation coefficient (ICC). We also carried out Bland-Altman analysis, which included a scatter plot of the differences between Test and reTest against their mean. Systematic biases were evaluated by use of a paired t-Test. Results: The ICCs for the D2 ranged from 0.78 to 0.94. The MDCs (MDC%) of the seven subscores were 102.3 (29.7), 19.4 (85.0), 7.2 (94.6), 21.0 (69.0), 104.0 (33.1), 105.0 (35.8), and 7.8 (47.8), which represented limited-to-acceptable random measurement error. Trends in the Bland-Altman plots of the omissions (E1), commissions (E2), and errors (E) were noted, presenting that the data had heteroscedasticity. Conclusions: According to the results, the D2 had good Test-reTest Reliability, especially in the scores of TN, TN-E, and CP. For the further research, finding a way to improve the administration procedure to reduce random measurement error would be important for the E1, E2, E, and FR subscores.
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Test reTest Reliability and responsiveness of the barthel index based supplementary scales in patients with stroke
European Journal of Physical and Rehabilitation Medicine, 2017Co-Authors: Yachen Lee, Iping Hsueh, Shengshiung Chen, Chinglin HsiehAbstract:BACKGROUND A lack of evidence on the Test-reTest Reliability and responsiveness limits the utility of the BI-based Supplementary Scales (BI-SS) in both clinical and research settings. AIM To examine the Test-reTest Reliability and responsiveness of the BI-based Supplementary Scales (BI-SS) in patients with stroke. DESIGN A repeated-assessments design (1 week apart) was used to examine the Test-reTest Reliability of the BI-SS. For the responsiveness study, the participants were assessed with the BI-SS and BI (treated as an external criterion) at admission to and discharge from rehabilitation wards. SETTING Seven outpatient rehabilitation units and one inpatient rehabilitation unit. POPULATION Outpatients with chronic stroke. METHODS Eighty-four outpatients with chronic stroke participated in the Test-reTest Reliability study. Fifty-seven inpatients completed baseline and follow-up assessments in the responsiveness study. RESULTS For the Test-reTest Reliability study, the values of the intra-class correlation coefficient and the overall percentage of minimal detectable change for the Ability Scale and Self-perceived Difficulty Scale were 0.97, 12.8%, and 0.78, 35.8%, respectively. For the responsiveness study, the standardized effect size and standardized response mean (representing internal responsiveness) of the Ability Scale and Self-perceived Difficulty Scale were 1.17 and 1.56, and 0.78 and 0.89, respectively. Regarding external responsiveness, the change in score of the Ability Scale had significant and moderate association with that of the BI (r=0.61, P<0.001). The change in score of the Self-perceived Difficulty Scale had non-significant and weak association with that of the BI (r=0.23, P=0.080). CONCLUSIONS The Ability Scale of the BI-SS has satisfactory Test-reTest Reliability and sufficient responsiveness for patients with stroke. However, the Self-perceived Difficulty Scale of the BI-SS has substantial random measurement error and insufficient external responsiveness, which may affect its utility in clinical settings. CLINICAL REHABILITATION IMPACT The findings of this study provide empirical evidence of psychometric properties of the BI-SS for assessing ability and self-perceived difficulty of ADL in patients with stroke.
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the Test reTest Reliability and the minimal detectable change of the purdue pegboard Test in schizophrenia
Journal of the Formosan Medical Association, 2013Co-Authors: Chipang Lu, Wenshian Lu, Chinglin HsiehAbstract:Background/Purpose The Purdue pegboard Test is widely used in measuring the hand dexterity of patients with schizophrenia. In patients with schizophrenia, the Test–reTest Reliability and minimal detectable change (MDC) of this Test remain largely unknown, limiting the interpretability of this popular measure. The purpose of this study was to estimate the Test–reTest Reliability and the MDC of the Purdue pegboard Test for patients with schizophrenia. Methods A total of 147 patients with schizophrenia participated in this study. The participants were administrated the five subTests of the Purdue pegboard Test, three trials in a row at both of the two sessions 1 week apart. The intraclass correlation coefficient (ICC) was used to examine the Test–reTest Reliability and the MDC was calculated on the basis of standard error of measurement. Results The Test–reTest reliabilities of the five subTests were moderate to good (ICC = 0.73–0.88). The MDC (MDC%) was 3.0 (22.9%) for the dominant hand subTest, 3.1 (26.1%) for the nondominant hand subTest, 3.0 (31.7%) for the both hands subTest, 6.1 (17.7%) for the dominant + nondominant + both hands subTest, and 8.5 (35.3%) for the assembly subTest. Conclusion Our results reveal that the Purdue pegboard Test has moderate-to-good Test–reTest Reliability but substantial random measurement error. These findings should enable clinicians and researchers to monitor and interpret the changes in the hand dexterity of patients with schizophrenia more accurately and confidently.
Wenshian Lu - One of the best experts on this subject based on the ideXlab platform.
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Test reTest Reliability and minimal detectable change of the d2 Test of attention in patients with schizophrenia
Archives of Clinical Neuropsychology, 2018Co-Authors: Wenshian Lu, Chinglin HsiehAbstract:Objective: The d2 Test of Attention (D2) is a commonly used measure of selective attention for patients with schizophrenia. However, its Test-reTest Reliability and minimal detectable change (MDC) are unknown in patients with schizophrenia, limiting its utility in both clinical and research settings. The aim of the present study was to examine the Test-reTest Reliability and MDC of the D2 in patients with schizophrenia. Method: A rater administered the D2 on 108 patients with schizophrenia twice at a 1-month interval. Test-reTest Reliability was determined through the calculation of the intra-class correlation coefficient (ICC). We also carried out Bland-Altman analysis, which included a scatter plot of the differences between Test and reTest against their mean. Systematic biases were evaluated by use of a paired t-Test. Results: The ICCs for the D2 ranged from 0.78 to 0.94. The MDCs (MDC%) of the seven subscores were 102.3 (29.7), 19.4 (85.0), 7.2 (94.6), 21.0 (69.0), 104.0 (33.1), 105.0 (35.8), and 7.8 (47.8), which represented limited-to-acceptable random measurement error. Trends in the Bland-Altman plots of the omissions (E1), commissions (E2), and errors (E) were noted, presenting that the data had heteroscedasticity. Conclusions: According to the results, the D2 had good Test-reTest Reliability, especially in the scores of TN, TN-E, and CP. For the further research, finding a way to improve the administration procedure to reduce random measurement error would be important for the E1, E2, E, and FR subscores.
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the Test reTest Reliability and the minimal detectable change of the purdue pegboard Test in schizophrenia
Journal of the Formosan Medical Association, 2013Co-Authors: Chipang Lu, Wenshian Lu, Chinglin HsiehAbstract:Background/Purpose The Purdue pegboard Test is widely used in measuring the hand dexterity of patients with schizophrenia. In patients with schizophrenia, the Test–reTest Reliability and minimal detectable change (MDC) of this Test remain largely unknown, limiting the interpretability of this popular measure. The purpose of this study was to estimate the Test–reTest Reliability and the MDC of the Purdue pegboard Test for patients with schizophrenia. Methods A total of 147 patients with schizophrenia participated in this study. The participants were administrated the five subTests of the Purdue pegboard Test, three trials in a row at both of the two sessions 1 week apart. The intraclass correlation coefficient (ICC) was used to examine the Test–reTest Reliability and the MDC was calculated on the basis of standard error of measurement. Results The Test–reTest reliabilities of the five subTests were moderate to good (ICC = 0.73–0.88). The MDC (MDC%) was 3.0 (22.9%) for the dominant hand subTest, 3.1 (26.1%) for the nondominant hand subTest, 3.0 (31.7%) for the both hands subTest, 6.1 (17.7%) for the dominant + nondominant + both hands subTest, and 8.5 (35.3%) for the assembly subTest. Conclusion Our results reveal that the Purdue pegboard Test has moderate-to-good Test–reTest Reliability but substantial random measurement error. These findings should enable clinicians and researchers to monitor and interpret the changes in the hand dexterity of patients with schizophrenia more accurately and confidently.
Todd R Constable - One of the best experts on this subject based on the ideXlab platform.
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a decade of Test reTest Reliability of functional connectivity a systematic review and meta analysis
NeuroImage, 2019Co-Authors: Stephanie Noble, Dustin Scheinost, Todd R ConstableAbstract:Abstract Background Once considered mere noise, fMRI-based functional connectivity has become a major neuroscience tool in part due to early studies demonstrating its Reliability. These fundamental studies revealed only the tip of the iceberg; over the past decade, many Test-reTest Reliability studies have continued to add nuance to our understanding of this complex topic. A summary of these diverse and at times contradictory perspectives is needed. Objectives We aimed to summarize the existing knowledge regarding Test-reTest Reliability of functional connectivity at the most basic unit of analysis: the individual edge level. This entailed (1) a meta-analytic estimate of Reliability and (2) a review of factors influencing Reliability. Methods A search of Scopus was conducted to identify studies that estimated edge-level Test-reTest Reliability. To facilitate comparisons across studies, eligibility was restricted to studies measuring Reliability via the intraclass correlation coefficient (ICC). The meta-analysis included a random effects pooled estimate of mean edge-level ICC, with studies nested within datasets. The review included a narrative summary of factors influencing edge-level ICC. Results From an initial pool of 212 studies, 44 studies were identified for the qualitative review and 25 studies for quantitative meta-analysis. On average, individual edges exhibited a “poor” ICC of 0.29 (95% CI = 0.23 to 0.36). The most reliable measurements tended to involve: (1) stronger, within-network, cortical edges, (2) eyes open, awake, and active recordings, (3) more within-subject data, (4) shorter Test-reTest intervals, (5) no artifact correction (likely due in part to reliable artifact), and (6) full correlation-based connectivity with shrinkage. Conclusion This study represents the first meta-analysis and systematic review investigating Test-reTest Reliability of edge-level functional connectivity. Key findings suggest there is room for improvement, but care should be taken to avoid promoting Reliability at the expense of validity. By pooling existing knowledge regarding this key facet of accuracy, this study supports broader efforts to improve inferences in the field.
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influences on the Test reTest Reliability of functional connectivity mri and its relationship with behavioral utility
Cerebral Cortex, 2017Co-Authors: Stephanie Noble, Todd R Constable, Marisa N Spann, Fuyuze Tokoglu, Xilin Shen, Dustin ScheinostAbstract:Best practices are currently being developed for the acquisition and processing of resting-state magnetic resonance imaging data used to estimate brain functional organization-or "functional connectivity." Standards have been proposed based on Test-reTest Reliability, but open questions remain. These include how amount of data per subject influences whole-brain Reliability, the influence of increasing runs versus sessions, the spatial distribution of Reliability, the Reliability of multivariate methods, and, crucially, how Reliability maps onto prediction of behavior. We collected a dataset of 12 extensively sampled individuals (144 min data each across 2 identically configured scanners) to assess Test-reTest Reliability of whole-brain connectivity within the generalizability theory framework. We used Human Connectome Project data to replicate these analyses and relate Reliability to behavioral prediction. Overall, the historical 5-min scan produced poor Reliability averaged across connections. Increasing the number of sessions was more beneficial than increasing runs. Reliability was lowest for subcortical connections and highest for within-network cortical connections. Multivariate Reliability was greater than univariate. Finally, Reliability could not be used to improve prediction; these findings are among the first to underscore this distinction for functional connectivity. A comprehensive understanding of Test-reTest Reliability, including its limitations, supports the development of best practices in the field.
Chipang Lu - One of the best experts on this subject based on the ideXlab platform.
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the Test reTest Reliability and the minimal detectable change of the purdue pegboard Test in schizophrenia
Journal of the Formosan Medical Association, 2013Co-Authors: Chipang Lu, Wenshian Lu, Chinglin HsiehAbstract:Background/Purpose The Purdue pegboard Test is widely used in measuring the hand dexterity of patients with schizophrenia. In patients with schizophrenia, the Test–reTest Reliability and minimal detectable change (MDC) of this Test remain largely unknown, limiting the interpretability of this popular measure. The purpose of this study was to estimate the Test–reTest Reliability and the MDC of the Purdue pegboard Test for patients with schizophrenia. Methods A total of 147 patients with schizophrenia participated in this study. The participants were administrated the five subTests of the Purdue pegboard Test, three trials in a row at both of the two sessions 1 week apart. The intraclass correlation coefficient (ICC) was used to examine the Test–reTest Reliability and the MDC was calculated on the basis of standard error of measurement. Results The Test–reTest reliabilities of the five subTests were moderate to good (ICC = 0.73–0.88). The MDC (MDC%) was 3.0 (22.9%) for the dominant hand subTest, 3.1 (26.1%) for the nondominant hand subTest, 3.0 (31.7%) for the both hands subTest, 6.1 (17.7%) for the dominant + nondominant + both hands subTest, and 8.5 (35.3%) for the assembly subTest. Conclusion Our results reveal that the Purdue pegboard Test has moderate-to-good Test–reTest Reliability but substantial random measurement error. These findings should enable clinicians and researchers to monitor and interpret the changes in the hand dexterity of patients with schizophrenia more accurately and confidently.
Stephanie Noble - One of the best experts on this subject based on the ideXlab platform.
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a decade of Test reTest Reliability of functional connectivity a systematic review and meta analysis
NeuroImage, 2019Co-Authors: Stephanie Noble, Dustin Scheinost, Todd R ConstableAbstract:Abstract Background Once considered mere noise, fMRI-based functional connectivity has become a major neuroscience tool in part due to early studies demonstrating its Reliability. These fundamental studies revealed only the tip of the iceberg; over the past decade, many Test-reTest Reliability studies have continued to add nuance to our understanding of this complex topic. A summary of these diverse and at times contradictory perspectives is needed. Objectives We aimed to summarize the existing knowledge regarding Test-reTest Reliability of functional connectivity at the most basic unit of analysis: the individual edge level. This entailed (1) a meta-analytic estimate of Reliability and (2) a review of factors influencing Reliability. Methods A search of Scopus was conducted to identify studies that estimated edge-level Test-reTest Reliability. To facilitate comparisons across studies, eligibility was restricted to studies measuring Reliability via the intraclass correlation coefficient (ICC). The meta-analysis included a random effects pooled estimate of mean edge-level ICC, with studies nested within datasets. The review included a narrative summary of factors influencing edge-level ICC. Results From an initial pool of 212 studies, 44 studies were identified for the qualitative review and 25 studies for quantitative meta-analysis. On average, individual edges exhibited a “poor” ICC of 0.29 (95% CI = 0.23 to 0.36). The most reliable measurements tended to involve: (1) stronger, within-network, cortical edges, (2) eyes open, awake, and active recordings, (3) more within-subject data, (4) shorter Test-reTest intervals, (5) no artifact correction (likely due in part to reliable artifact), and (6) full correlation-based connectivity with shrinkage. Conclusion This study represents the first meta-analysis and systematic review investigating Test-reTest Reliability of edge-level functional connectivity. Key findings suggest there is room for improvement, but care should be taken to avoid promoting Reliability at the expense of validity. By pooling existing knowledge regarding this key facet of accuracy, this study supports broader efforts to improve inferences in the field.
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influences on the Test reTest Reliability of functional connectivity mri and its relationship with behavioral utility
Cerebral Cortex, 2017Co-Authors: Stephanie Noble, Todd R Constable, Marisa N Spann, Fuyuze Tokoglu, Xilin Shen, Dustin ScheinostAbstract:Best practices are currently being developed for the acquisition and processing of resting-state magnetic resonance imaging data used to estimate brain functional organization-or "functional connectivity." Standards have been proposed based on Test-reTest Reliability, but open questions remain. These include how amount of data per subject influences whole-brain Reliability, the influence of increasing runs versus sessions, the spatial distribution of Reliability, the Reliability of multivariate methods, and, crucially, how Reliability maps onto prediction of behavior. We collected a dataset of 12 extensively sampled individuals (144 min data each across 2 identically configured scanners) to assess Test-reTest Reliability of whole-brain connectivity within the generalizability theory framework. We used Human Connectome Project data to replicate these analyses and relate Reliability to behavioral prediction. Overall, the historical 5-min scan produced poor Reliability averaged across connections. Increasing the number of sessions was more beneficial than increasing runs. Reliability was lowest for subcortical connections and highest for within-network cortical connections. Multivariate Reliability was greater than univariate. Finally, Reliability could not be used to improve prediction; these findings are among the first to underscore this distinction for functional connectivity. A comprehensive understanding of Test-reTest Reliability, including its limitations, supports the development of best practices in the field.