Sentences with phrase «regression analyses supported»

Results: Correlation and multiple regression analyses supported all hypothesised relationships.

Not exact matches

Finally, the type of regression - based analyses used to support the performance pay conclusion does not properly consider that the background variables used in these analyses can vary in terms of relationships with student scores and have different definitions across the countries under study.

PRE-TRADE ANALYSIS The Pre-Trade Matrix has 14 regression signals, seven of those have cyclical support, only the NZD / USD isn't displaying counter momentum as we head into the US Session.

This online Fama - French factor regression analysis tool supports regression analysis for individual assets or a portfolio of assets using the capital asset pricing model (CAPM), Fama - French three - factor model, the Carhart four - factor model, or the new Fama - French five - factor model.

The first is that it lends some evidential support, using an independent approach to data analysis (lag regression), to the conclusion of Lindzen and Choi — that the GCMs do not match the observed short - term flux response.

«Regression analyses do not provide strong support for the idea that regional heat or cold waves are significantly increasing or decreasing with time during the period considered here (1979 — 2003).»

«A strong warming and severe drought predicted on the basis of the ensemble mean of the CMIP climate models simulations is supported by our regression analysis only in a very unlikely case of the continually increasing AMO at a rate similar to its 1970 — 2010 increase» 7

Planned, implemented, and maintained the front and back end components of a web application (using MySQL, Python, HTML, JavaScript, and JQuery) that supported statistical analysis of financial securities, allowed the user to filter over thousands of financial instruments, and perform regression and volatility analysis

Tags for this Online Resume: Inventory / Warehouse Management, SAP, Key User and End User Training, Pre and Post Deployment Support, Regression Testing, Accounting Degree, Dept. of Defense Project Experience, Oil & Gas Experience, Financial Analysis

To clarify the nature of these interactions, we ran two additional hierarchical multiple regression analyses by entering the demographic / disease severity variables, followed by daily hassles, the specific social support source of interest (classmate or teacher), and the relevant interaction between hassles and social support (classmate or teacher).

Regression analyses confirmed that the income - to - needs ratio was significantly associated with caregivers» education (path A1; ranges across all regions: P <.001 in all models), predicted caregiving support / hostility assessed 1 year after baseline controlling for caregivers» education (path A2, P <.001), and predicted children's experience of stressful life events between baseline and time of scan when covarying for caregivers» education and supportive / hostile parenting (path A3, P <.001 in all models).

Regression analyses showed that positive well - being (e.g. happiness, positive affect and life satisfaction) was predicted by positive personality (high optimism, self - esteem and self - efficacy), high social support and low stressors and low negative coping scores.

A covariate was included in the multivariate analyses if theoretical or empirical evidence supported its role as a risk factor for obesity, if it was a significant predictor of obesity in univariate regression models, or if including it in the full multivariate model led to a 5 % or greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / d).

In hierarchical regression analysis of SA, social support was present in models 2 and 3, but disappeared after adjusting for substance use and depressive symptoms in model 4 (table 3).

multiple regression analyses were conducted to examine gender differences in strain, need for supports, social support, and quality of life.

Standard multiple regression analyses by parity determined that depression, decisional conflict, low social support and less perceived knowledge predicted levels of childbirth fear.

Independent sample t - tests and... multiple regression analyses were conducted to examine gender differences in strain, need for supports, social support, and quality of life.

As shown in the results of the Pearson's correlations and the hierarchical regression analysis, social support had a significant negative association with PTSD symptoms, and this finding is consistent with other researches.9 36 51 52 The level of PTSD symptoms was significantly and negatively correlated with the healthcare workers» scores for objective support and utilisation of support.

To examine the effect of received support and perceived support on psychological well - being, multiple regression analysis was conducted.

Hierarchical multiple regression analyses indicated that commonly investigated psychosocial factors such as affectivity, coping, and social support moderated the relationship between perceived stress and one illness behavior (report of illness without visits to the doctor).

A multiple linear regression with overall social support and the three subscales excluded the total score as redundant (see Table 6), but because overall social support was at least as strong a predictor as the three subscales combined, it was used for subsequent analyses.

Keywords: Supervisor support, supportive work atmosphere, job demands, job control, job content, self - esteem, mistrust, multiple hierarchical regression analyses

Hierarchical regression analysis predicting self - esteem from family function and social support.

Independent sample t - test was used to compare the level of self - esteem, family function score and social support score between the two groups with and without grandparenting experience; Pearson correlation was calculated to explore how levels of self - esteem and family functions as well as perceived social support were related; Hierarchical regression analysis was applied to examine the moderating effect of social support on the relationship between family function and self - esteem.

This finding is supported by the results of the regression analysis which show that a previous score in the borderline or abnormal range is strongly associated with a similar score at age of school entry.

Multiple regression analyses provided support for the protective effects of maternal acceptance on adolescents» mental health problems.

Control variables — For our primary regression analyses we included several control variables that have established associations with crying and / or social support, particularly among adolescents and young adults: gender (Antonucci, 2001; De Fruyt, 1997; Peter et al., 2001; Shumaker & Hill, 1991), romantic relationship status (Connolly & Johnson, 1996), stress (Choti, Marston, Holston, & Hart, 1987; Cohen & Wills, 1985), loneliness (Jones & Moore, 1987; Rubenstein & Shaver, 1982), and depressive symptoms (Vingerhoets, Rottenberg, Cevaal, & Nelson, 2007).

Second, regression analyses revealed that social support functioned as a moderator of the impact of autism severity on sibling adjustment rather than a mediator or compensatory variable.

The first hierarchical regression analysis investigated the moderating effects of parental and school support on the relationship between peer - victimization and mental health, while considering gender.

To address the main hypotheses of the study, we examined the effects of the three parenting practices — support, structure, and behavioral control — with the above factors controlled in the third model of the regression analyses (see Tables III and IV).

Eight significant predictors for psychological distress were retained with hierarchical multivariate linear regression analysis after controlling for gender: seven predictors (Passive Coping, Active Coping and Social Support — UCL), Self - criticism and Dependency (DEQ), Intrusiveness (IES) and Attachment Anxiety (ECR - R) were general psychological characteristics whereas only one infertility - specific characteristics (Need for Parenthood; FPI) had predictive value.

We used hierarchical linear regression analyses to test for program effects on parenting stress, parenting behaviors, mental health, satisfaction with social support, and social support need.

Because bivariate analyses indicated that baseline levels of social support were highly correlated to levels at follow - up, in examining program effects on social support we controlled for their baseline levels by entering them first into the regression models.

Using a national sample of data gathered from 1,257 female survey respondents this study found significant relationships between emotional functioning, self - esteem, and self - reported relationship satisfaction which was supported by regression testing and path analysis.

However, given that emotional support was not a significant predictor in the regression analyses, much about its influence on parent — child interactions is still unknown.

The range of variables entered into both sets of multiple regression analyses were subscales of the MPI (pain severity, life control, support), physical disability (measured by the RMDQ), depressive symptoms (measured by the DASS), pain self - efficacy (measured by the PSEQ), catastrophising (measured by the PRSS), fear of movement / (re) injury (measured by the TSK), pain distress in the past week, and use of unhelpful self - management strategies (measured by the PSMC).

The mediation analyses, composed of regression analysis and PROCESS analysis, were preformed to test both direct and indirect effects of social support on HRQOL, namely the mediating role of resilience.

In order to assess the unique contribution of the level of relationship satisfaction, multivariable logistic regression analyses were performed with the following independent control variables: stressful life events, maternal age, level of education, income, marital status, social support, breastfeeding, smoking during pregnancy, maternal depression and the sex of the offspring.

Developmental patterns of six indices of peer relations (including group acceptance, group rejection, having a reciprocated best friend, social support from best friend, conflict with best friend, and the aggressiveness of the best friend) were examined as predictors of aggression and delinquency using logistic regression analyses.

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Sourced through Scoop.it from: dwslaterco.blogspot.com What is regression analysis and how do Appraisers use it to help better view their market and support adjustments?