scholarly journals Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability**

2021 ◽  
Author(s):  
Philipp Dechent ◽  
Samuel Greenbank ◽  
Felix Hildenbrand ◽  
Saad Jbabdi ◽  
Dirk Uwe Sauer ◽  
...  
Keyword(s):  
Test Sample ◽  
Sample Sizes ◽  
Li Ion ◽  
Degradation Test ◽  
Cell To Cell Variability

Approaches to Achieving High Reliability and Confidence Levels with Small Test Sample Sizes

2015 ◽  
Vol 8 (2) ◽  
pp. 343-354 ◽  
Author(s):  
Zhigang Wei ◽  
Robert Rebandt ◽  
Michael Start ◽  
Litang Gao ◽  
Jason Hamilton ◽  
...  
Keyword(s):  
High Reliability ◽  
Test Sample ◽  
Sample Sizes ◽  
Confidence Levels ◽  
Small Test

Use of Loose Shelled Kernels to Estimate Aflatoxin in Farmers Stock Peanut Lots1

1999 ◽  
Vol 26 (1) ◽  
pp. 39-44 ◽  
Author(s):  
T. B. Whitaker ◽  
F. G. Giesbrecht ◽  
W. M. Hagler
Keyword(s):  
Sample Size ◽  
Coefficient Of Variation ◽  
Functional Relationship ◽  
Test Sample ◽  
Sampling Plan ◽  
Sample Sizes ◽  
Total Aflatoxin ◽  
Aflatoxin Concentration

Abstract Loose shelled kernels (LSK) are a defined grade component of farmers stock peanuts and represented, on the average, 33.3% of the total aflatoxin mass and 7.7% of the kernel mass among the 120 farmers stock peanut lots studied. The functional relationship between aflatoxin in LSK taken from 2-kg test samples and the aflatoxin in farmers stock peanut lots was determined to be linear with zero intercept and a slope of 0.297. The correlation between aflatoxin in LSK and aflatoxin in the lot was 0.844 which suggests that LSK taken from large test samples can be used to estimate the aflatoxin concentration in a farmer's lot. Using only LSK allows large test samples to be used to estimate the lot concentration since LSK can be easily screened from a large test sample. If LSK accounts for 7.7% of the lot kernel mass, a 50-kg sample will yield about 3.9 kg of LSK which can be easily prepared for aflatoxin analysis. Increasing the test sample size from 2 to 50 kg reduced the coefficient of variation associated with estimating a lot with 100 parts per billion (ppb) aflatoxin from 114 to 23%, respectively. As an example, a farmers stock aflatoxin sampling plan with dual tolerances (10 and 100 ppb) that classified lots into three categories was evaluated for two test sample sizes (2 and 50 kg). The effect of increasing test sample size from 2 to 50 kg on the number of lots classified into each of the three categories was demonstrated when measuring aflatoxin only in LSK.

Reliability Assessment of Metallized Film Capacitors using Reduced Degradation Test Sample

2012 ◽  
Vol 29 (2) ◽  
pp. 259-265 ◽  
Author(s):  
Quan Sun ◽  
Yanzhen Tang ◽  
Jing Feng ◽  
Tongdan Jin
Keyword(s):  
Reliability Assessment ◽  
Test Sample ◽  
Degradation Test

scholarly journals How sample size influences the replicability of task-based fMRI

2017 ◽  
Author(s):  
Benjamin O. Turner ◽  
Erick J. Paul ◽  
Michael B. Miller ◽  
Aron K. Barbey
Keyword(s):  
Sample Size ◽  
Statistical Power ◽  
Large Range ◽  
Test Sample ◽  
Small Samples ◽  
Sample Sizes ◽  
Typical Sample ◽  
The Impact ◽  
Larger Sample ◽  
Different Levels

Despite a growing body of research suggesting that task-based functional magnetic resonance imaging (fMRI) studies often suffer from a lack of statistical power due to too-small samples, the proliferation of such underpowered studies continues unabated. Using large independent samples across eleven distinct tasks, we demonstrate the impact of sample size on replicability, assessed at different levels of analysis relevant to fMRI researchers. We find that the degree of replicability for typical sample sizes is modest and that sample sizes much larger than typical (e.g., N = 100) produce results that fall well short of perfectly replicable. Thus, our results join the existing line of work advocating for larger sample sizes. Moreover, because we test sample sizes over a fairly large range and use intuitive metrics of replicability, our hope is that our results are more understandable and convincing to researchers who may have found previous results advocating for larger samples inaccessible.

scholarly journals Caregiving in schizophrenia: development, internal consistency and reliability of the Involvement Evaluation Questionnaire – European Version

2000 ◽  
Vol 177 (S39) ◽  
pp. s21-s27 ◽  
Author(s):  
Bob van Wijngaarden ◽  
Aart H. Schene ◽  
Maarten Koeter ◽  
José Luis Vázquez-Barquero ◽  
Helle Charlotte Knudsen ◽  
...  
Keyword(s):  
Internal Consistency ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Test Sample ◽  
Sample Sizes ◽  
Evaluation Questionnaire ◽  
Intraclass Correlation Coefficients ◽  
Reliability Estimates ◽  
Icd 10 ◽  
Test Retest Reliability

BackgroundIn international research on the consequences of psychiatric illnesses for relatives of patients, the need for an internationally standardised measure has been identified.AimsTo test the internal consistency and the test-retest reliability of the Involvement Evaluation Questionnaire (IEQ) in five European countries.MethodThe IEQ was administered twice to a sample of relatives or friends of patients with an ICD-10 diagnosis of schizophrenia. Reliability was tested using Cronbach's α, intraclass correlation coefficients and standard error of measurement. Reliability estimates were tested between sites.ResultsTest sample sizes ranged from 30 to 90 across sites, and retest sample sizes ranged from 21 to 77. Cronbach's α values of IEQ sub-scales and sumscore were substantial at most sites; but at two, α values were moderate. Intraclass correlation coefficients were substantial to high at all sites. The standard errors of measurement differed across sites, indicating differences in performance.ConclusionThe reliability of the IEQ in five languages varies across sites, but is sufficiently high in at least four out of five.

Is Red Really Romantic?

2017 ◽  
Vol 48 (3) ◽  
pp. 174-183 ◽  
Author(s):  
Gabrielle K. Lehmann ◽  
Robert J. Calin-Jageman
Keyword(s):  
Opposite Direction ◽  
Positive Control ◽  
Weak Effect ◽  
Sample Sizes ◽  
Quality Controls

Abstract. Red has been reported to enhance attraction for women rating men ( Elliot et al., 2010 ) and men rating women ( Elliot & Niesta, 2008 ). We replicated one of these studies online and in-person. To ensure rigor, we obtained original materials, planned for informative sample sizes, pre-registered our study, used a positive control, and adopted quality controls. For men, we found a very weak effect in the predicted direction (d = 0.09, 95% CI [−0.17, 0.34], N = 242). For women, we found a very weak effect in the opposite direction (d = −0.09, 95% CI [−0.30, 0.12], N = 360). The original studies may have overestimated the red effect, our studies may be an underestimate, or there could be strong moderation of the effect of red on attraction.

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