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].
At the annual scale,
the average correlation coefficient between models
Regional correlations were obtained by
averaging correlation coefficients which exhibit p - values less than 0.05, for land, ocean, and total field domains.
In general, the regionally
averaged correlation coefficients only satisfy the rcritical when separated into land or ocean subdomains.
Weighted -
average correlation coefficients between equivalent pairs of SDQ and Child Behavior Checklist subscales11 from 9 parent - reported studies were uniformly strong and positive (range: 0.52 < r < 0.71).10 Several studies showed strong correlations between SDQ subscales and «real world» outcomes such as clinical diagnoses (criterion validity); SDQ scores identified school - aged children with concurrent behavioral and emotional disorders, including attention - deficit / hyperactivity disorder (ADHD) and autism spectrum disorder / Asperger syndrome (ASD / AS), and predicted their occurrence 3 years later.4, 12,13 However, multitrait - multimethod analyses have not provided consistently strong evidence of discriminant validity of the school - age SDQ subscales.
Correlations were then transformed using Fisher's Z for all subsequent analyses, as recommended when
averaging correlation coefficients (Silver and Dunlap 1987).
Not exact matches
In order to illustrate how relative similarities of responses in each brain region varied as a function of social distance, inter-subject time series similarities (i.e., Pearson
correlation coefficients between preprocessed fMRI response time series) were normalized (i.e., z - scored across dyads for each region) prior to
averaging across dyads for each brain region within each social distance category.
In order to illustrate how relative similarities of responses in each brain region varied as a function of social distance, inter-subject time series similarities (i.e., Pearson
correlation coefficients between preprocessed fMRI response time series) were normalized (i.e., z - scored across dyads for each region) prior to
averaging across dyads for each brain region and overlaying results on an inflated model of the cortical surface for each social distance category.
Thus, in the calculation of the
average correlation matrix, the denominator was adjusted for the number of all valid
correlation coefficients at each element of the matrix.
We defined a similarity measure between the HICA matrices of two individuals as the
correlation coefficient of their corresponding elements, and computed for each individual an index of intra-hemispheric intrinsic connectivity asymmetry as the
average similarity measure of his HICA matrix to those of the other subjects of the sample (HICAs).
Average warming onset rate of change is approximately 2.0 degrees C / millennium in the Antarctic with exceptionally strong
correlation coefficients of 0.98.
Average plateau rate of change is minus 0.01 degrees C / millennium (excludes MIS 7e) with weaker
correlation coefficient of about 0.5.
The
average Pearson
correlation coefficients comparing diet assessment from our FFQ with multiple 7 - d food records for 55 foods was 0.48 [18], with a range 0.24 to 0.76 for individual fruits and 0.13 to 0.53 for individual vegetables (S17 Table)[19].
Averages 1 - Mode, Median and Mean
Averages 2 - Which
Average is Best
Averages 3 - Grouped Data (Estimated Mean)
Averages 4 - Mean vs Estimated Mean Bar Charts Binomial Distribution 1 - Investigation and Introduction Binomial Distribution 2 - Solving Problems Binomial Distribution 3 - Expectation and Variance Box Plots Coding Combining Data Sets Cumulative Frequency Discrete Random Variables Expectation and Variance Frequency Polygons Histograms 1 - Drawing Histograms 2 - Interpreting Interpolation - Estimating the Median Moving
Averages Normal Distribution 1 - Standard Normal Normal Distribution 2 - Non-Standard Normal Distribution 3 - Backwards and Further Problems Normal Distribution 4 - Approximation for Binomial Distribution Pictograms Pie Charts 1 - Drawing Pie Charts 2 - Interpreting Product Moment
Correlation Coefficient (PMCC) Poisson Distribution Probability 1 Probability 2 Probability 3 Probability 4 Probability 5 Questionnaires Regression Lines Sampling Scatter Diagrams Sets 1 - 2 sets Sets 2 - 3 sets Sets 3 - Probability Sets 4 - Conditional Probability Skewness Spearman's Rank
Correlation Coefficient Standard Deviation and the Variance Stem and Leaf Diagrams Two Way Tables Probability Distribution Function NOTE: Feel free to browse my shop for more excellent free and premium resources and as always please rate and feedback, thank you.
• Will display portfolio statistics like
correlation coefficients,
average / median / minimum / maximum rates of return over the selected time frame, along with standard deviation of monthly returns, Beta, Alpha (Jensen), R - squared, Treynor Ratio, and Sharpe Ratio, and all of that.
I've added a small essay from 2 years ago questioning whether
correlation coefficients can be used on
averaged data (yearly, monthly, weekly, daily).
Panel (a) shows the CR flux (red line) from combined Moscow and Climax neutron monitor data, and the globally
averaged ISCCP IR low (> 680 mb / < 3.2 km) cloud anomaly plotted at a monthly resolution from June 1983 to December 1994, (b) shows the local
correlation coefficient (r - values) achieved between the cloud and CR flux data for 12 - month (boxcar) smoothed values.
For low cloud cover, only the solar proxies, GCR proxies, the AMO, PDO, and ENSO exhibit significant
correlation coefficients, and no
correlation variable satisfies the rcritical for cloud cover when
averaged over the entire domain.
In fact the Mauna Loa or global CO2 rise is much faster than linear... the differences between the mauna loa / global are negligible for the purpose of radiative transfer, and the difference in
average CO2 concentration between an «
average global» data - set and the Mauna Loa record since 1980 (for monthly values) is only 0.65 ppm (and with a
correlation coefficient r greater than 0.99) indicating that the Mauna Loa record is representative of global - scale CO2 concentration as you'd expect with a well - mixed gas.
Pearson and ICC between AQoL - 8D and other MAU instruments resulted in above
average coefficients, with the former technique and the highest
average correlation using the ICC; however, differences were generally small.
The results show that the
average scores of the two scales
correlation coefficient of 0.76, p < 0.005, which shows that students» critical situational behavior questionnaire is ideal.
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.
Average relationship supportiveness scores for each parent show a strong positive
correlation (Pearson
correlation coefficient, r = 0.68, p < 0.001).