Global perceived effect scores may permit excessive between test variability as shown
by the correlation coefficient r = 0.10.
Not exact matches
In a convenience sample of 45 children during a 1 - week training workshop provided
by child psychologists and psychiatrists, inter-paediatrician agreement was high, with Pearson
correlation coefficients of 0.80 (95 % confidence interval: 0.67, 0.89) for vocabulary, 0.72 (0.54, 0.83) for similarities, 0.80 (0.67, 0.89) for block designs and 0.79 (0.66, 0.88) for matrices.16 Since we previously reported that the intervention resulted in significantly higher verbal IQ scores in intention - to - treat analysis, 16 we focused on results for verbal IQ scores in the present study.
Their sample sizes have been adjusted using the methods described in the Handbook and
by Donner 2000 incorporating an estimate of the intracluster
correlation coefficient (ICC) derived from the trial (if possible).
Point estimates of population parameters (e.g., mean,
correlation coefficient, slope) or comparative measures (e.g., mean difference, odds ratio, hazard ratio) should be accompanied
by a measure of uncertainty such as a standard error or a confidence interval.
We used the Fisher Z transformation to examine the
correlations among adiposity measures and exercise duration
by assessing Pearson
coefficients.
Gene expression profiles measured using human genome Affymetrix Gene Chip arrays were grouped
by hierarchical clustering, and
correlation coefficients were computed for all pair-wise comparisons (Fig. 4A).
In fact, several functional brain network studies have generated a group network
by simply averaging the
correlation coefficients between the same set of nodes across subjects [10], [12], [13].
Networks were formed
by calculating a
correlation coefficient for every voxel pair then
by thresholding the resulting
correlation matrix to identify strong
correlations.
By their own admission: «health expenditure showed by far the highest correlation coefficients» (i.e. high health expenditures correlated well with low occurrence of cardiovascular disease
By their own admission: «health expenditure showed
by far the highest correlation coefficients» (i.e. high health expenditures correlated well with low occurrence of cardiovascular disease
by far the highest
correlation coefficients» (i.e. high health expenditures correlated well with low occurrence of cardiovascular disease).
Or you can try to find the best fit
by manually adjusting fit parameters; Sample Learning Goals • Describe how
correlation coefficient and chi squared can be used to indicate how well a curve describes the data relationship • Apply understanding of Curve Fitting to designing experiments
[9] The highest
correlation coefficients were for math and reading teachers in Houston — .59 for math and.50 for reading — where value - added was calculated
by pooling up to eight years of data for a teacher.
She used R (i.e., a free software environment for statistical computing and graphics) to simulate
correlation scatterplots (see Figures below) to illustrate three unique situations: (1) a simulation where there are two indicators (e.g., teacher value - added and observational estimates plotted on the x and y axes) that have a
correlation of r = 0.28 (the highest
correlation coefficient at issue in the aforementioned post); (2) a simulation exploring the impact of negative bias and a moderate
correlation on a group of teachers; and (3) another simulation with two indicators that have a non-linear relationship possibly induced or caused
by bias.
[You get the
correlation coefficient by taking the square root and including the appropriate sign.]
Gummy has provided an important insight
by plotting
correlation coefficients versus start years (i.e., the years at the beginning of historical sequences).
[More recently, Peter Ponzo (who posts under the username Gummy) has added to our understanding
by looking at
correlation coefficients versus start year.]
A
coefficient of +1 indicates the variables have perfect positive
correlation: they move in the same direction
by the same amount.
This problem is compounded
by optimizers that work at the asset level (e.g., mutual funds), because a mutual fund may change the way it does things quarterly (which instantly negates all of the past return data which the
correlation coefficient numbers were based on).
To determine which variables to include in the young adult analysis, we compared the dogs» rankings on the 29 scores (derived from 11 tasks; Table S2) at PA testing with their rankings on these same scores at PS testing
by computing Kendall rank
correlation coefficients.
The Pearson product - moment
correlation coefficient was invented
by the statistician Karl Pearson in the late nineteenth century.
It is shown that the
correlation coefficients between pressure in the troposphere and SA / GCR characteristics change the sign in the periods of transformations of the large - scale circulation caused
by changes in the state of the vortex.
This tendency for small alpine glaciers in the Pacific Northwest to have different mass balance histories, yet high cross
correlation coefficients was previously noted
by Letreguilly (1989).
However, their sensivity to specific climate conditions as indicated
by a cross
correlation coefficient of 0.69 was quite high for two glaciers in different, though adjacent, mountain ranges.
The combination C1 shows a
correlation coefficient almost identical to that shown
by the other five test parameters, but with the least number of variables.
If to justify your values you need to use a fourth order polynomial, as is shown on the trend you present, you have to show that there is a significant improvement in the
correlation coefficient between the trend and the data
by using three additional fitting parameters.
When a scientist develops a Fourier transform of a dataset, did you know that each
coefficient is determined
by correlation?
The existence of very low statistical
correlation coefficients in all of the previous studies attempting to diagnose feedback in the traditional manner is,
by itself, evidence of this effect....
I assume that what is meant
by the «R2» statistic is the squared Pearson dot - moment
correlation, or r2 (i.e., the square of the simple linear
correlation coefficient between two time series) over the 1856 - 1901 «verification» interval for our reconstruction.
The EPP IE interannual variability correlated very well, however (
correlation coefficient of 0.85 — 0.90), with auroral and medium energy hemispheric power, and with column NO measured
by the SNOE satellite instrument from 97 to 150 km.
By removing those cases the
correlation coefficient improves from 0.69 to 0.87 for the PM2.
For that reason, the comparisons of observed and modelled series are done not only in terms of the
coefficient of efficiency, which is affected
by the presence of bias, but also in terms of the
correlation coefficient, which
by definition removes the effect of bias.
Correlation coefficients between the principal components of EOF modes for total water storage (Figs. 4h, 7h) and the time series estimated
by 1st order Markov process using the precipitation noise (Figs. 4b, 7b)
Correlation coefficient of 0.20 corresponds to the statistical significance at the 95 % level
by using a two - side Student \ (t \) test with 100 samples
Correlation coefficient between two timeseries in each panel is shown
by upper - right corner
Regional
correlations were obtained
by averaging
correlation coefficients which exhibit p - values less than 0.05, for land, ocean, and total field domains.
For the AMO, the
correlation coefficients are almost entirely negative over land, whereas the ocean
correlation does exhibit negative
coefficients» cluster in the Central Pacific flanked
by positive
correlation coefficients.
«Synchronization as measured
by the root - mean - square
correlation coefficient between all pairs of modes over a 7 - year running window.
So this wouldn't fix the problem with the low - freqency portion («the trend») dominating the estimate of the
correlation coefficient, when what you really want is just the the high - frequency portion unadorned
by the trend from another region.
By lagging the CO2 result from temperature changes one year, the calculated variation was lagging the observed: The same
coefficients were used, no difference in trends and stdev,
correlation between the series = 0.732; R ^ 2 = 0.536 (which is fair).
Research findings were analyzed
by person
correlation coefficient, linear Regression.
Hypotheses 1 - 10 and research questions 1 - 3 were tested
by computing second - order partial
correlation coefficients, controlling for the potentially confounding effects of financial wellness and income.
The association between different tests and their subscales test - retest reliability, and convergent and divergent validity between different scales were assessed
by Pearson
Correlation Coefficient.
In addition, this questionnaire presents good test — retest reliability, even for testing after 6 months (
correlation coefficients from 0.60 to 0.90, except for bodily pain (0.43)-RRB-.53 Finally, the SF - 36 is sensitive to change, 57 with a difference of 5 points in scale scores being clinically significant, as suggested
by Ware et al. 58
The associations between sedentary behaviour and BMI, WC as well as risk factors for obesity were studied
by calculating Spearman's
correlation coefficients by sex (tables 2 and 3).
Assuming a drop - out rate from the trial of approximately 20 %; this sample size was sufficient to detect a standardised effect size of 0.4 at 85 % power and α of 0.05 in the primary outcome measure if there was no clustering and a standardised effect size of 0.6 allowing for clustering
by course with an intraclass
correlation coefficient of 0.178 or less; for this sample size calculation, we conservatively imagined clustering within control families as well as intervention families.
Each videotape was coded
by 2 independent trained observers; intraclass
correlation coefficients exceeded 0.80.
Lead assessors (K.A.C. and A.M.M.) were trained on interview measures
by the instrument developers or
by an approved trainer, and then trained, supervised, and evaluated for reliability across assessors (κ statistic or intraclass
correlation coefficient for all ratings ranged from 0.74 to 1.00).
Associations were examined in terms of factor loadings and regression
coefficients in relation to five higher - order domains, followed
by specific
correlations among all constructs.
The total and factor scores of the JW - DEQ version B and the HADS subscale scores were correlated
by means of the Pearson product - moment
correlation coefficients (concurrent validity).
We inflated this sample size
by a design effect of 1.18 to 210 infants per trial arm to allow for
correlation between responses within the same cluster (that is, maternal and child health centre), 28 assuming an average cluster size of seven (the number of eligible mothers attending each centre) and an intracluster
correlation coefficient of 0.03.
Concurrent validity of scales was assessed
by Zung's Self - Rating Anxiety Scale (SAS), Zung's Self - Rating Depression Scale (SDS), and the interpersonal sensitivity dimension of Chinese SCL -90-R, respectively, using Pearson's
correlation coefficients.