Sentences with phrase «high correlation coefficient»

It is evident from Figure 5b that these two parameters correlate well, yielding a high correlation coefficient of r = 0.95.

Nearly all the studies reported high correlation coefficient rates.

Mayhew et al. (2011) reported a very high correlation coefficient (ICC = 0.947) using a curvilinear equation in untrained male and female college students.

Kravitz et al. (2003) also reported a high correlation coefficient (> 0.95) using a novel equation (1RM = 90.66 + [0.085 X repetitions x load] + -LSB--5.306 x repetitions]-RRB- in high - school powerlifters.

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).

[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.

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.

From each matrix of correlation coefficients we built 7 networks, where nodes are the samples and edges are connections between samples that are correlated with a coefficient higher than a given threshold (out of 7 thresholds, from 0.86 to 0.92).

In contrast to AQMIX and ASAIX, this strategy had a higher correlation to equities than bonds; however, both coefficients were still pretty low.

It has been said that the correlation coefficient that was developed to measure how closely related markets are (in terms of how they move), is now at its highest points.

When all is said and done, this kind of attention to detail results in high resolution fits with discrimination - worthy correlation coefficients.

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 correlation coefficient for CO2 vs Temperature is either almost two or almost three times higher than the graph you posted.

The highest accumulation season correlation coefficient is total accumulation season precipitation, ranging from 0.35 - 0.59.

However, we realize that the high value of the formal correlation coefficient (≥ 0.9) is not sufficient to justify the uniqueness of this particular combination.

However, the ENSO total cloud cover correlations more accurately reflect its mid-level and high - level cloud cover patterns for land, with a correlation coefficient of 0.135.

However, the AMO exhibits the highest magnitude correlations for all subdomains of mid-level cloud cover having negative correlation coefficients of − 0.223, − 0.205, and − 0.218 for ocean, land, and entire domain respectively.

The correlation coefficients between solar proxies and low level maritime cloud cover are the highest, with coefficients of − 0.130; AMO correlates with low level continental cloud cover at − 0.176, which is the highest coefficient for low level continental cloud cover.

As with low level and total level cloud cover, no variable achieves a valid correlation coefficient over the entire domain for high cloud cover.

Cross correlation coefficients between low - level cloud cover versus mid-level and high - level cloud cover are depicted in Figure 6.

The correlation coefficients between CALS3k.3 and the 14C - based estimate reach values no higher than 0.1 and certainly can not be considered significant.

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.

The ENSO and PDO exhibited the subsequent highest correlations, with regional correlation coefficients similar to SSN / FX, and NM1 / NM2.

We used the higher resolution CALS3k.3 and CALS3k.4 dipole estimates for comparisons using the same filters on the geomagnetic and the radionuclide dipole reconstructions for the past 3 kyrs (Fig. 6), and computed the correlation coefficients among all four records for the time series with low - pass filters between 1/200 and 1/1000 yrs.

Regional correlation for high cloud cover can not be compared to previous work due to their latitudinal asymmetry, which resulted in subcritical correlation coefficients.

However, the solar proxies registered a slightly higher regional correlation coefficient than the GCRs.

In striking contrast, a nearly perfect linear correlation with coefficients as high as 0.96 - 0.97 is found between corrected or uncorrected global surface temperature and total amount of stratospheric halogenated gases during 1970 - 2012.

It is shown that an analytical equation derived from the CRE theory reproduces well 11 - year cyclic variations of polar O3 loss and stratospheric cooling, and new statistical analyses of the CRE equation with observed data of total O3 and stratospheric temperature give high linear correlation coefficients ≥ 0.92.

The correlation coefficients between soil moisture and precipitation frequency are higher than correlation coefficients between soil moisture and amount of precipitation.

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 correlation coefficient (r) scores were classified as weak (0.10 - 0.29), moderate (0.30 - 0.49), or high (0.50)[21].

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.

Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).

Correlation coefficients between 0.1 and 0.3 were considered low, between 0.31 and 0.5 moderate and those over 0.5 were considered high.

The square root of AVE of the variables is between 0.724 ~ 0.829, and the correlation coefficients between latent variables which have significant relationship is between 0.009 ~ 0.609, and the AVE square root of all variables is greater than the correlation coefficient of the latent variables, which means the scales have a high discriminant validity.

Although there were some significant correlations, the coefficients were not particularly high, indicating that the scales were not measuring the same constructs.

Results showed high level of Cronbach's alpha reliability coefficient α = 0.90, test retest reliability ranged from r =.73 to r =.96 (ps <.01), item total correlation varying from r =.50 to r =.74 (ps <.01) and factor loading ranged from.39 to.73.

The results showed the higher attachment to mother predict lower level of depressive symptoms as correlation coefficients between attachment and depression were -.504 (p <.001).

Test - retest correlation coefficients for the higher - order scales were 0.90 for Adaptive Emotion Regulation and 0.88 for Maladaptive Emotion Regulation.

However, an exception could possibly be made for the hyperactivity / inattention problem scale of the SDQ - T; this subscale demonstrated both the highest reliability (Cronbach's alpha 0.88) and highest validity (Spearman's correlation coefficient 0.72) in our study.

Looking at the correlation coefficients between non-family household growth by metro, along with occupancy growth and rent growth indeed shows that non-family household growth and occupancy growth have a correlation of 57 percent which is high but not conclusive.