Sentences with word «bivariate»

First, exploratory analyses using bivariate correlations and independent - samples t - tests were run to assess how well the three PCERA scales related to other parental and child attributes also collected at hospital discharge (Table II).

Multivariate logistic regression analysis was then used to identify the independent strength of the relationship between 12 - month CJS involvement and potential risk factors that were found to be significant in bivariate analyses.

We observed significant bivariate associations between delayed OL and variables in all 6 dimensions (P < 0.05).

More than one - third (37.5 %) of multivariate associations between birth order and prevalence are significant in bivariate models, and 12.5 % are significant in multivariate models.

In line with earlier studies [9, 26, 43], we found FR - EXT to be a risk factor for externalizing behaviors in preadolescents, as evidenced by significant bivariate correlations between FR - EXT and all seven dependent measures of externalizing behaviors.

Predictors of poor father - child relationships were first explored using bivariate associations (i.e. simple associations between pairs of measures).

Sliding window analysis (Bivariate Pearson correlation and Granger causality) and time varying parameter regression method (Flexible Least Squares) are two dynamic analysis strategies for time - variant connectivity analysis in the DynamicBC.

The associations between the level of maternal relationship satisfaction and infectious disease in the group of < 6 - month - old infants were first tested by performing separate bivariate logistic regression analyses for each of the eight infectious diseases as the dependent variable, using the level of relationship satisfaction as the predictor variable.

A video tutorial on how to use Bivariate data in Autograph.

Next, to examine if the 12 subscales of the CFPQ related to one another in theoretically expected ways, we calculated bivariate correlations among the subscales (Table III).

Moreover, much of this literature has examined bivariate associations rather than testing more complex theoretical models.

Correlational analyses confirmed bivariate relations between parental stress and parental depressive symptomatology, and between child sleep problems and parental depressive symptomatology.

The effect sizes derived from multivariate models with different control variables are therefore not comparable with each other and also not comparable with effect sizes derived from bivariate analyses.

Bivariate relationships among predictors and outcomes were assessed using Pearson product moment or Spearman rank order (for relationships with screen time) correlation coefficients.

Bivariate comparisons of paternal depression and other variables were analyzed with χ2 tests.

This method is unique in three key ways, (a) the state space grid provides a framework for re-representing bivariate time - series data as univariate time series, (b) the sequence analysis provides for identification of patterns or trends that account for order and relative timing of change, and (c) the cluster analysis (or grouping technique of choice) provides for identification of groups of dyads who exhibit patterns that are holistically similar.

Demographic Unadjusted Bivariate Associations of Students Surveyed Using Column Percentages

It first explored bivariate associations between father - child relationship quality and each measure of low wellbeing.

Weighted bivariate and multivariate analyses of parenting behaviors were performed while controlling for demographics and paternal substance abuse.

School and Psychosocial Outcomes: Unadjusted Bivariate Associations Using Column Percentages *

Wald F tests assessed bivariate associations between SES and children's cognitive ability and candidate explanatory factors.

First, for reasons of comparability, we only included studies reporting bivariate associations.

Bivariate plots showing areas with highest logged proportions (relative to species richness) of species that are climate change vulnerable only in yellow, threatened only in blue, and both highly climate change vulnerable and threatened in maroon.

Specific statistical areas of expertise include factor and cluster analysis, basic bivariate analyses, repeated measures analyses, linear and hierarchical / mixed models, structural equation modeling, and nonparametric analyses including logistic regression techniques.

Studying bike lanes in 90 or the 100 largest American cities, Pucher and collaborater Ralph Buehl used Pearson's correlation, bivariate quartile analysis, and two different types of regressions to measure the relationship between more and longer bike lanes and quantity of cyclists.

The algorithm measures 2 - D correlations by looking at 0th & 1st & / or 1st & 2nd (i.e. adjacent) derivatives to extract empirical bivariate phase information at variable bandwidth.

Correlated risks, bivariate utility and optimal choices.

Smith et al. (2001), using similar bivariate time - series models, find that the evidence for causality becomes weak when the effects of ENSO are taken into account.

To test the convergent validity of the PWB subscale, we computed bivariate correlations between the PWB and three scales: MHI - 5, SHS and CD - RISC (table 4).

Data analyses involved bivariate analyses, logistic regression analyses and Cox proportional hazards regression analyses.

Univariate and bivariate extended twin analyses (including cotwins and nontwin siblings) were used to estimate the magnitude of genetic and environmental influences on these characteristics.