Linear Regression Diagnostics in Cluster Samples

Li, Jianzhu; Valliant, Richard

doi:10.1515/jos-2015-0003

Cited by 12 publications

(13 citation statements)

References 30 publications

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“…Therefore, we did not report any regression diagnostic for our models using multiple imputation. However, interested readers may find a complete description of regression diagnostics for the subsample of models for which regression diagnostics were feasible in Supplemental Analysis S4: linear regressions with complete case analysis (43)(44)(45) . The 'svydiags' package in R was used for these analyses (46) .…”

Section: Discussionmentioning

confidence: 99%

Association of organic food consumption with obesity in a nationally representative sample

et al. 2020

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The increased prevalence and adverse health consequences of obesity has made it one of the leading public health issues in recent years. Importantly, several epidemiological studies have revealed significant associations between the body mass index (BMI) and organic food consumption. However, although these studies have suggested that this factor holds promise to prevent obesity, they all suffer from methodological limitations, including self-reporting methods to assess BMI, not controlling for potential confounding factors or using a nonrepresentative sample. Moreover, all were restricted to an adult sample. We present the results of a cross-sectional epidemiological study assessing the association of organic food consumption with BMI and obesity in a representative lifespan French sample (INCA3 study). Objective methods were used to measure BMI and several potentially confounding variables were controlled for. In total, 1,775 children and adolescents, and 2,121 adults underwent anthropometric measurements and completed questionnaires concerning their dietary habits and lifestyle. Unadjusted models systematically revealed negative associations between organic food consumption and both BMI and obesity across all age groups. These associations tended to remain statistically significant even after controlling for several confounding variables concerning socio-economic status, quality of the diet, and physical activity. The effect sizes were, however, small. These data confirm the association between organic food consumption and obesity during both childhood and adulthood. Evidence from randomized controlled trials is required to investigate causality between organic food consumption and lower BMI or obesity rate.

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Section: Discussionmentioning

confidence: 99%

Association of organic food consumption with obesity in a nationally representative sample

et al. 2020

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“…Furthermore, we tested if the outlying observations are influential cases or not by performing the following tests: Difference in Fits (DFFITS), Difference in Betas (DFBETAS), and the Cook's Distance. 40 Due to the defined sample size, the strongest explanatory variables were chosen from the literature reviewed. Power analysis using G*Power revealed that a medium-to-large effect size (f 2 = 0.27), models with 6 tested explanatory variables, and a sample of 55 are sufficient to attain power of .8 given, P = .05.…”

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Predictors of Infant Care Competence Among Mothers With Postpartum Depression

Jones

Létourneau

Duffett‐Leger

2019

Clin Med�Insights�Reprod�Health

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Background/objective:Postpartum depression is linked to decreased quality mother-infant interactions and long-term negative impacts on children’s behavior and health. Infant care competence may be reduced by postpartum depression and other maternal or environmental variables. Thus, the objective of this study was to explain factors that contribute to perceived infant care competence among mothers with postpartum depression.Methods:Multiple regression analysis and correlational analysis were conducted to study associations between the predictors (depression severity, social support, child development, family functioning) and the outcome of perceived infant care competence among a peer support intervention study for mothers with postpartum depression (n = 55).Results:Child development, specifically communication (P = .04), gross (P = .00) and fine (P = .00) motor skills, problem solving (P = .00), and personal-social development (P = .01), explained maternal perceptions of responsiveness, an aspect of infant care competence. The best-fit model was obtained for the responsiveness subscale, in which 37% of the variance was explained by mothers’ reports of infants’ fine motor skills (P = .000) and nurturance (P = .039) as an aspect of social support and family functioning (P = .078).Conclusions:Recognition of the importance of infant development to perceived infant care competence, particularly mothers’ perceptions of infant responsiveness, may offer targets for intervention. Helping mothers identify infant cues and milestones that signal infant responsiveness may be beneficial. Moreover, social support and family functioning may be targets for intervention to promote perceived infant care competence in mothers affected by postpartum depression.

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“…These assumptions were accepted when the p ‐values of the S‐W test and Bartlett's test were higher than the level of significance (Stewart, 1987). Autocorrelation was not verified because the authors did not use time‐series data (Li & Valliant, 2011). All results were calculated using SPSS Statistics.…”

Section: Aim Methodology and Datamentioning

confidence: 99%

Corporate social responsibility and sustainability issues of small‐ and medium‐sized enterprises

Belás

Çera

Dvorský

et al. 2020

Corp Soc Responsibility Env

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Corporate social responsibility (CSR) presents a valuable tool of a better management of enterprises for the benefit of the whole society. Small‐ and medium‐sized enterprises (SMEs) have been facing this challenge for a shorter time than large enterprises. The aim of the article is to evaluate the impact of the CSR indicators on the sustainability of SMEs in Central European (CE) countries. Factors of the sustainability of SMEs are innovative ways to win new markets and retain existing customers, the innovation of our products and services, and lower probability of SMEs' bankruptcy. Linear regression analysis was applied to verify causal relationships. The sample size was constructed of 1,585 SMEs on basis of the questionnaire's answers. The results show that the knowledge of the CSR concept and its assertion in business is the most important CSR indicator with a positive impact on each factor of SMEs' sustainability.

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Linear Regression Diagnostics in Cluster Samples

Cited by 12 publications

References 30 publications

Association of organic food consumption with obesity in a nationally representative sample

Association of organic food consumption with obesity in a nationally representative sample

Predictors of Infant Care Competence Among Mothers With Postpartum Depression

Corporate social responsibility and sustainability issues of small‐ and medium‐sized enterprises

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