Sentences with word «multinomial»

Associations between early predictors and early dissolution (before children were 8 years old) and late dissolutions (when children were between 8 and 19 years) were compared using multinomial logistic regression analyses.

The association between parental alcohol consumption at age 4 years (using linear and binary exposures) and developmental trajectories of offspring conduct problems across all 6 timepoints (i.e., EOP, AO, CL, and Low as the reference group) were examined using multinomial logistic regression.

All three systems — multinomial logit regression, dynamic signal extraction and the University's refined binary logit model — use the technique of logistic regression to analyse various indicators, such as a country's exposure to debt, foreign trade, domestic growth and government expenditure.

Research question 1 was investigated by multinomial logistic regression analyses with bootstrapping.

Discrete - time multinomial - logit - hazard model estimates indicate that classroom characteristics play a larger role than school average student characteristics in determining teacher mobility.

Determinants of African farmers» strategies for adapting to climate change: Multinomial choice analysis.

For categorical variables, we calculated univariate multinomial logistic regression analyses.

We performed multinomial logistic regression analysis to test if gender and SES variables were related to profile membership.

Multivariate logistic regression analyses examined parity progression by birth order, while multinomial logistic regression was used to identify associations between sex composition and use of permanent, temporary and traditional contraceptive methods.

Multinomial predictors were entered using weighted contrast coding.

Results of Multinomial Logistic Regression Analyses (Early Influences and Baseline Characteristics)

We conducted multinomial logistic analyses to examine to what extent each dimension of parenting practices affects child social skills development.

We used multinomial regression modelling to identify associated factors and Structural Equation Modelling (SEM) to test the primary hypothesis that poor mental health (defined as abusing alcohol or having PTSD or depressive symptoms) mediates the relationship between child abuse and IPV perpetration.

Using longitudinal data from Miami - Dade spanning six school years, augmented with survey responses from TFA's own Alumni Survey for cohorts placed in the Miami region, we use Cox proportional hazards models and multinomial logit decision models in a modified difference - in - difference (DD) framework.

Prior studies on psychiatric comorbidity have applied a range of methods, from traditional regression models for estimating associations between different disorders (20, 21, 24) to multinomial logistic models that compare combinations of pairs of comorbid disorders (25) to latent growth models that jointly estimate trajectories of behavior clusters (26, 27).

To check for reverse causation, that depressive symptoms may affect subsequent sugar intake from sweet food / beverages, linear regression models of 5 - year change and multinomial logistic regression for change groups were fitted for each cycle, from phases 3 to 5, 5 to 7 and 7 to 9, with CMD at phases 3, 5, 7 respectively, and for change from phase 7 to 9 with depression at phase 7.

To assess the impact of condition at intake on the outcome for the senior animals, a multinomial logistic regression was performed.

Missing values were predicted using an iterative series of appropriate regression models (logistic or multinomial) conditional on the observed values of the outcome variable, independent variables used in regression modelling and additional measured variables.

Teacher's Performance as a Function of Occupational Stress and Coping with Reference to CBSE Affiliated School Teachers in and around Hyderabad: A Multinomial Regression Approach

Multinomial logistic regression analysis for associations between T1 variables and early versus late dissolutions

We examined the association between these risk factors and different patterns of bedwetting from 4 to 9 years using multinomial regression.

The relative impact of a host of putative child, mother, and family risk factors measured in early childhood was assessed using multinomial regressions.

Multinomial logistic regression models suggested that families that experienced significant declines in income were more likely to persistently participate and initiate participation than to never participate.

In the multinomial logistic analysis, all groups were compared to the low group (Table 3).

In the multinomial logistic regressions the cognition, social competence, and temperament variables are statistical predictors of trajectory membership.

Multinomial regression analysis revealed that parenting practice variables showed differential contributions to development of child social skills.

In the second part of the analyses, multinomial logistic regression models were used to examine which variables2 would discriminate between trajectories of social anxiety (Duchesne et al. 2010).

Multinomial Logistic Regression Model Predicting Family Patterns of Support Given to Adult Offspring

Moreover, multinomial logistic regressions revealed a profile of children at risk of developing high anxiety symptoms (i.e., high group), characterized by sociofamily adversity, inattention, and low prosociality in the classroom.

A multinomial logistic function was used to specify this probability function.

Multinomial logistic regression was used to ascertain recurrence risks of the pure and comorbid conditions in the siblings as predicted by the status of the cases.

Multinomial regression analyses showed that the cognition variables, negative interpretations of ambiguous social situations and self - focused attention, differentiated between all three trajectories.

Additionally, in order to test how global parenting quality influences child social skills development, we conducted a supplemental analysis, a multinomial logistic analyses by entering a total score of all four categories for global parenting child care quality.