scholarly journals Poczucie osamotnienia a zadowolenie z życia osób w wieku 50 lat i więcej w Polsce w świetle danych badania GGS-PL

2017 ◽  
pp. 139-165
Author(s):  
Anita Abramowska-Kmon
Keyword(s):  
Life Satisfaction ◽  
Linear Regression ◽  
Regression Models ◽  
Positive Relationship ◽  
Satisfaction With Life ◽  
Demographic Variables ◽  
Linear Regression Models ◽  
Explanatory Variables ◽  
And Gender ◽  
Second Wave

The main aim of the paper was the analysis of determinants of life satisfaction of people aged 50 years and more in Poland. The data used in the analysis came from the second wave of the Polish Generations and Gender Survey (GGS-PL) that had been carried out in 2014 and 2015. The linear regression models with the dependent variable describing life satisfaction were estimated. Explanatory variables, incorporated into the model, included basic socio-demographic variables as well as a variable describing loneliness. The obtained results are in line with those described in the literature. As expected, better educated individuals, with higher income are more satisfied with life. Similarly, married persons had higher life satisfaction than those living without a spouse. Moreover, persons in employment were more satisfied with life than those economically inactive, while unemployment diminishes life satisfaction of people aged 50+ in Poland, especially for men. The same was found for those having children: they were more satisfied with life than the childless. The most important finding is that the lonely individuals are less satisfied with their lives. Interestingly, the positive relationship between satisfaction with life and having children among people aged 50+ may be explained by loneliness. It means that childlessness is strongly related to loneliness and loneliness mediates the effect of childlessness on satisfaction with life.

scholarly journals Life satisfaction among a clinical eating disorder population

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Elizabeth A. Claydon ◽  
Caterina DeFazio ◽  
Christa L. Lilly ◽  
Keith J. Zullig
Keyword(s):  
Life Satisfaction ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Satisfaction With Life ◽  
Private Insurance ◽  
Severity Index ◽  
Eating Pathology ◽  
Primary Objective ◽  
Satisfaction With Life Scale ◽  
Linear Regression Models

Abstract Background The primary objective was to understand life satisfaction (LS) of patients with eating disorders (EDs) in relation to eating pathology severity, personal/familial ED history, and key demographic and anthropometric variables. Methods Participants (N = 60) completed the Satisfaction with Life Scale (SWLS), the Eating Pathology Severity Index (EPSI), and demographic questionnaires. Bivariate associations via correlations and multiple linear regression models were used to explore these relationships. Results The SWLS mean score was 3.7 out of 7, suggesting it is below the population-based norm. LS was positively statistically significantly associated with private insurance, past ED, EPSI muscle building, EPSI restricted eating, and EPSI negative attitudes. When included in multiple linear regression, the model explained 33% of the variability of LS [F (7, 56) = 3.4, p = 0.0054, R2 = 0.33]. EPSI muscle building remained the strongest predictor (β = 0.13, p = 0.04). Conclusions Based on the data, individuals who have/have had EDs scored lower on the SWLS than the general population. Individuals scoring within this range typically experience significant issues in several areas of life or a substantial issue in one area.

scholarly journals Life Satisfaction among a Clinical Eating Disorder Population

2020 ◽  
Author(s):  
Elizabeth Claydon ◽  
Caterina DeFazio ◽  
Christa L. Lilly ◽  
Keith J. Zullig
Keyword(s):  
Life Satisfaction ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Satisfaction With Life ◽  
Private Insurance ◽  
Severity Index ◽  
Eating Pathology ◽  
Primary Objective ◽  
Satisfaction With Life Scale ◽  
Linear Regression Models

Abstract Background:The primary objective was to understand life satisfaction (LS) of patients with eating disorders (EDs) in relation to eating pathology severity, personal/familial ED history, and key demographic and anthropometric variables.Methods:Participants (N=60) completed the Satisfaction with Life Scale (SWLS), the Eating Pathology Severity Index (EPSI), and demographic questionnaires. Bivariate associations via correlations and multiple linear regression models were used to explore these relationships.Results:The SWLS mean score was 3.7 out of 7, suggesting it is below the population-based norm. LS was positively statistically significantly associated with private insurance, past ED, EPSI muscle building, EPSI restricted eating, and EPSI negative attitudes. When included in multiple linear regression, the model explained 33% of the variability of LS [F (7, 56) = 3.4, p = 0.0054, R 2 = 0.33]. EPSI muscle building remained the strongest predictor (β = 0.13, p = 0.04).Conclusions:Based on the data, individuals who have/have had EDs scored lower on the SWLS than the general population. Individuals scoring within this range typically experience significant issues in several areas of life or a substantial issue in one area.

scholarly journals Life Satisfaction among a Clinical Eating Disorder Population

2020 ◽  
Author(s):  
Elizabeth Claydon ◽  
Caterina DeFazio ◽  
Christa L. Lilly ◽  
Keith J. Zullig
Keyword(s):  
Life Satisfaction ◽  
Eating Disorder ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Satisfaction With Life ◽  
Private Insurance ◽  
Eating Pathology ◽  
Satisfaction With Life Scale ◽  
Average Score ◽  
Linear Regression Models

Abstract Background The primary objective was to understand life satisfaction (LS) of patients with eating disorder (ED) diagnoses in relation to eating pathology severity, personal/familial ED history, and key demographic and anthropometric variables. Methods: Participants (N = 60) completed the Satisfaction with Life Scale (SWLS), the Eating Pathology Severity Index (EPSI), and demographic questionnaires. Bivariate associations via correlations and multiple linear regression models were used to explore these relationships. Results The average SWLS score was 3.7 out of 7, suggesting below average LS. LS was statistically significantly associated with private insurance, past ED, EPSI muscle building, EPSI restricted eating, and EPSI negative attitudes. When included in multiple linear regression, the model explained 33% of the variability of LS [F (7, 56) = 3.4, p = 0.0054, R2 = 0.33]. EPSI muscle building remained the strongest predictor (β = 0.13, p = 0.04). Conclusions Based on the data, individuals who have/have had EDs on average score lower on the SWLS than the general population. Individuals scoring within this range typically experience significant issues in several areas of life or a substantial issue in one area. Findings suggest a need for interventions that focus on improving LS in hopes of simultaneously reducing ED symptoms.

scholarly journals Life Satisfaction among a Clinical Eating Disorder Population

2020 ◽  
Author(s):  
Elizabeth Claydon ◽  
Caterina DeFazio ◽  
Christa L. Lilly ◽  
Keith J. Zullig
Keyword(s):  
Life Satisfaction ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Satisfaction With Life ◽  
Private Insurance ◽  
Severity Index ◽  
Eating Pathology ◽  
Primary Objective ◽  
Satisfaction With Life Scale ◽  
Linear Regression Models

Abstract Background: The primary objective was to understand life satisfaction (LS) of patients with eating disorders (EDs) in relation to eating pathology severity, personal/familial ED history, and key demographic and anthropometric variables. Methods: Participants (N=60) completed the Satisfaction with Life Scale (SWLS), the Eating Pathology Severity Index (EPSI), and demographic questionnaires. Bivariate associations via correlations and multiple linear regression models were used to explore these relationships. Results: The SWLS mean score was 3.7 out of 7, suggesting it is below the population-based norm. LS was positively statistically significantly associated with private insurance, past ED, EPSI muscle building, EPSI restricted eating, and EPSI negative attitudes. When included in multiple linear regression, the model explained 33% of the variability of LS [F (7, 56) = 3.4, p = 0.0054, R2 = 0.33]. EPSI muscle building remained the strongest predictor (β = 0.13, p = 0.04). Conclusions: Based on the data, individuals who have/have had EDs scored lower on the SWLS than the general population. Individuals scoring within this range typically experience significant issues in several areas of life or a substantial issue in one area.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

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