scholarly journals A-64 The Relationship between Big-5 Personality Factors and Cognitive Health

2019 ◽  
Vol 34 (6) ◽  
pp. 924-924
Author(s):  
J Beach ◽  
H Ricketts ◽  
V McCaskey ◽  
S Taylor ◽  
M Harrell ◽  
...  
Keyword(s):  
Regression Model ◽  
Eating Habits ◽  
Multiple Regression Model ◽  
Institutional Setting ◽  
Personality Factors ◽  
Health Questionnaire ◽  
Cognitive Health ◽  
Significant Regression ◽  
Factor Regression ◽  
The Relationship

Abstract Objective The purpose of the current study was to examine the relationship between factors of personality and cognitive health. Methods Two hundred and two participants (M age = 19.51, SD = 3.33; M education = 12.40, SD = .75; 72.3% Female, 55.3% White, 36.0% African American, 4.6% Asian, 4.1% Other) completed the cognitive health questionnaire (CHQ) and a 120-item International Personality Item Pool Representation of the NEO-PI-R (IPIP-NEO) as a part of a larger battery in an institutional setting. A CHQ total score was calculated based on items of four positive factors of cognitive health including social/intellectual activities, nutrition, exercise, and eating habits. Results A multiple linear regression using backwards elimination was calculated to predict scores on the Cognitive Health Questionnaire utilizing the five personality factors of the IPIP-NEO. The overall five-factor regression model yielded a significant regression equation (F(5,196) = 7.76, p < .001), with an R2 of .165. The final three-factor regression model consisting of extraversion, openness, and consciousness yielded significant results (F(3,198) = 12.70, p < .001), with an R2 of .161. Conclusions This exploratory study investigated the relationship between factors of personality and cognitive health. Although a multiple regression model involving all five factors of personality were significantly predictive of cognitive health, the results of this study indicate that greater variance of cognitive health is predicted by extraversion, openness and conscientiousness than neuroticism and agreeableness. Further research should investigate each factor of cognitive health and how these components are predicted by features of personality.

scholarly journals Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Zijing Ran ◽  
Xiaomei Xue ◽  
Lin Han ◽  
Robert Terkeltaub ◽  
Tony R. Merriman ◽  
...  
Keyword(s):  
Regression Model ◽  
Visceral Fat ◽  
Multiple Linear Regression Model ◽  
Serum Urate ◽  
Multiple Regression Model ◽  
Final Visit ◽  
Visceral Fat Area ◽  
Serum Urate Level ◽  
Lowering Therapy ◽  
The Relationship

ObjectiveTo clarify the relationship between serum urate (SU) decrease and visceral fat area (VFA) reduction in patients with gout.MethodsWe retrospectively analyzed 237 male gout patients who had two sets of body composition and metabolic measurements within 6 months. Subjects included had all been treated with urate-lowering therapy (ULT) (febuxostat 20–80 mg/day or benzbromarone 25–50 mg/day, validated by the medical record). All patients were from the specialty gout clinic of The Affiliated Hospital of Qingdao University. The multiple linear regression model evaluated the relationship between change in SU [ΔSU, (baseline SU) – (final visit SU)] and change in VFA [ΔVFA, (baseline VFA) – (final visit VFA)].ResultsULT resulted in a mean (standard deviation) decrease in SU level (464.22 ± 110.21 μmol/L at baseline, 360.93 ± 91.66 μmol/L at the final visit, p &lt;0.001) accompanied by a decrease in median (interquartile range) VFA [97.30 (81.15–118.55) at baseline, 90.90 (75.85–110.05) at the final visit, p &lt; 0.001]. By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).ConclusionsThe decrease in SU level is positively associated with reduced VFA. This finding provides a rationale for clinical trials to affirm whether ULT promotes loss of visceral fat in patients with gout.

The relationship between intellectual capital and financial statements readability: the role of management characteristics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Hassan Mohammadzadeh Moghadam ◽  
Zohreh Hajiha
Keyword(s):  
Regression Model ◽  
Intellectual Capital ◽  
Fixed Effects ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Financial Statements ◽  
Multiple Regression Model ◽  
Content Type ◽  
The Relationship

Purpose The present study aims to investigate the relationship between intellectual capital and the readability of financial statements with the mediating role of management characteristics of companies listed on the Tehran Stock Exchange. In other words, this research tries to find the answer to whether intellectual capital can positively affect the readability of financial statements. Design/methodology/approach A multivariate regression model was used to test the hypotheses for this purpose. The research hypotheses were tested using a sample of 1,309 observations listed on the Tehran Stock Exchange from 2012 to 2018 and a multiple regression model based on panel data and fixed-effects models. Findings The results indicate that intellectual capital has a positive and significant relationship with the readability of financial statements, which means that with increasing intellectual capital in companies, financial statements’ readability also increases. Based on the hypothesis test results, it has been determined that narcissism, accrual and real earnings management have a negative effect on the relationship between intellectual capital and the readability of financial statements. Originality/value Since the present study examines such an issue in emerging markets, it provides users, analysts and legal entities with useful information about management’s inherent and acquired characteristics that significantly impact the purchase of audit opinion. This study’s results also contribute to developing science and knowledge in this field and close the literature gap.

The relationship between audit components and audit expectation gap in listed companies on the Tehran stock exchange

2019 ◽  
Vol 18 (1) ◽  
pp. 199-222 ◽  
Author(s):  
Mahdi Salehi ◽  
Fariba Jahanbin ◽  
Mohammad Sadegh Adibian
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Stock Exchange ◽  
Audit Fees ◽  
Listed Companies ◽  
Multiple Regression Model ◽  
Content Type ◽  
Expectation Gap ◽  
Audit Firms ◽  
The Relationship

Purpose The expectation gap between auditors and users has recently been the topic of many controversies. This paper aims to evaluate the relationship between auditor’s characteristics and audit expectation gap among information users in listed companies on the Tehran stock exchange market. In other words, the study attempts to find whether there is a significant relationship between audit components and the audit expectation gap or not. Design/methodology/approach The multiple regression model is used to test the hypotheses. Research hypotheses are tested using a sample of 78 listed companies on the Tehran stock exchange during 2012-2016, by using integrated data technique of the multiple regression model. Findings The findings show that standard audit fees are not significantly associated with the audit expectation gap. Furthermore, audit fees are negatively associated with the audit expectation gap, which provides that allocated audit price in financial statements gives useful information for external and internal individuals. Predictably, it is recommended that audit opinion significantly determines the level of the audit expectation gap. The authors also find that the independence of the director boards and audit committee members fulfill the expectation gap of individual users. Moreover, finding the negative impact of audit firms ranking on the expectation gap, supports the idea of higher ranked audit firms provide high quality services, and consequently, more reliable information. Finally, the results show that the audit record is positively associated with the audit expectation gap. Originality/value As all recent studies on the expectation gap were qualitative, the present study is the first paper, which measures the expectation gap quantitatively through the statistical method.

scholarly journals Research on Consumer Behavior of Wine in HoChiMinh City

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Pham Ngoc Duong ◽  
Tran Ngoc Tu
Keyword(s):  
Consumer Behavior ◽  
Discriminant Analysis ◽  
Regression Model ◽  
Multiple Regression ◽  
Multiple Regression Model ◽  
Ho Chi Minh City ◽  
Analysis Method ◽  
Factors Affecting ◽  
Discriminant Analysis Method ◽  
The Relationship

This study was conducted to find out the factors affecting the consumers’ choice of wine in HoChiMinh City, Vietnam. The multiple regression model was not statistically significant for finding the relationship between the factors and the Money spent on wine, so discriminant analysis method was used to evaluate the contribution of factors to the differentiation between consumers’ group presented by average bottle consumed per month. The Symbolic benefit factor turned out to be the strongest, followed by Enjoyment benefit factor and Utilitarian &amp; Experiental benefit factor. The findings were used to provide suggestions for wine marketers in Ho Chi Minh City market.

scholarly journals Social determinants and their interference in homicide rates in a city in northeastern Brazil

2014 ◽  
Vol 17 (suppl 2) ◽  
pp. 194-203 ◽  
Author(s):  
Geziel dos Santos de Sousa ◽  
Francismeire Brasileiro Magalhães ◽  
Isabelle da Silva Gama ◽  
Maria Vilma Neves de Lima ◽  
Rosa Lívia Freitas de Almeida ◽  
...  
Keyword(s):  
Regression Model ◽  
Social Determinants ◽  
Ecological Study ◽  
Multiple Regression Model ◽  
Northeastern Brazil ◽  
Outcome Variable ◽  
Urban Centers ◽  
Household Heads ◽  
The Relationship ◽  
The City

OBJECTIVE: This paper aims to analyze the possible relationship between social determinants and homicide mortality in Fortaleza (CE), Brazil. METHOD: To investigate whether the rate of mortality by homicides is related to social determinants, an ecological study with emphasis on spatial analysis was conducted in the city of Fortaleza. Social, economic, demographic and sanitation data, as well as information regarding years of potential life lost, and Human Development Index were collected. The dependent variable was the rate of homicides in the period 2004 to 2006. In order to verify the relationship between the outcome variable and the predictor variables, we performed a multivariate linear regression model. RESULTS: We found associations between social determinants and the rate of mortality by homicides. Variables related to income and education were proven determinants for mortality. The multiple regression model showed that 51% of homicides in Fortaleza neighborhoods are explained by years of potential life lost, proportion of households with poor housing, average years of schooling, per capita income and percentage of household heads with 15 or more years of study. The coefficients for years of potential life lost and households with poor housing were positive. CONCLUSION: The findings indicate that the mortality by homicide is associated with high levels of poverty and uncontrolled urbanization, which migrates to the peripheries of urban centers.

Attributes Related to Teachers' Attitudes

1985 ◽  
Vol 60 (3) ◽  
pp. 739-742 ◽  
Author(s):  
Terry L. Rizzo
Keyword(s):  
Physical Education ◽  
Regression Model ◽  
Multiple Regression ◽  
Teaching Experience ◽  
Multiple Regression Model ◽  
The Other ◽  
Physical Educators ◽  
Teachers Attitudes ◽  
The Relationship ◽  
Regular Classes

A survey was conducted to determine the relationship between attitudes of 194 physical educators toward teaching handicapped pupils in regular classes and six attributes: (a) sex of teachers, (b) highest degree earned, (c) age, (d) coursework in physical education for handicapped pupils, (e) coursework outside of physical education on handicapped pupils, and (f) teaching experience with handicapped pupils. A simultaneous multiple-regression model was applied to the data to identify and explain the collective and separate contributions of the attributes to the attitudes Courses on handicapped pupils taught outside of physical education and age were significantly correlated with attitudes of the physical educators, but the other four attributes were not correlated.

scholarly journals The Relationship between Firm Sizes and Stock Returns of Service Sector in Ho Chi Minh City Stock Exchange

2016 ◽  
Vol 8 (4) ◽  
pp. 210 ◽  
Author(s):  
Nguyen Thanh Duy ◽  
Nguyen Pham Huu Phuoc
Keyword(s):  
Regression Model ◽  
Stock Returns ◽  
Financial Market ◽  
Firm Size ◽  
Service Sector ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Multiple Regression Model ◽  
Ho Chi Minh City ◽  
The Relationship

<p>The paper aims at investigating the existence of size effect in Vietnamese financial market. Particularly, the relationship between firm size and stock turns would be explored. Having 160 observations of the companies in service sector from 2009 to 2014, the multiple regression model was employed to test that effect. As a result, a significantly negative relationship between firm size and stock returns was studied. Besides, some implications and limitations were also discussed.</p>

Using trade show information to enhance company success: an empirical investigation

2012 ◽  
Vol 27 (5) ◽  
pp. 384-391 ◽  
Author(s):  
Harriette Bettis‐Outland ◽  
Wesley J. Johnston ◽  
R. Dale Wilson
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Information Acquisition ◽  
Value Of Information ◽  
Multiple Regression Model ◽  
Content Type ◽  
Independent Variables ◽  
Trade Show ◽  
Trade Shows ◽  
The Relationship

PurposeThis paper seeks to provide an exploratory empirical study of the variables that are part of the return on trade show information (RTSI) concept, which is based on the use and value of information gathered at a trade show.Design/methodology/approachThe research is designed to explore relationships and identify those variables that are a particularly important part of the RTSI concept. The paper provides an exploratory test of the relationship between a series of variables that are related to the value of information gathered at trade shows. Data were collected from trade show attendees approximately 60 days after the trade show. A multiple regression model was developed that explores the relationship between the dependent variable that focuses on information value and the independent variables on various aspects of information acquisition, information dissemination, and information use.FindingsThe final multiple regression model found a significant relationship for several variables and has an adjusted R2 value of 0.552. Four significant independent variables were identified – one each in the information use and the shared information categories and two in the information acquisition category. These findings present an interesting picture of how information is used within an organization after it is acquired at a trade show.Research limitations/implicationsThe research is limited by the multiple regression model used to explore the relationships in the data. Also, data from only one trade show were used in the model.Practical implicationsThis paper focuses on the intangible, longer‐term benefits as important considerations when determining the value of new trade show information to the firm. The evaluation of trade show information also should include these intangible benefits, such as improved interdepartmental relations or interactions as well as discussions with other trade show participants in finding new uses for information that impacts the company's future success, as well as shorter‐term benefits such as booth activity.Originality/valueThe paper offers a unique approach for determining the value of information acquired at trade shows. Though information gathering has been included as an outcome variable in previous trade show studies, no other research has studied the value of this new trade show information to the company.

scholarly journals Predicting the Surface Quality of Face Milled Aluminium Alloy Using a Multiple Regression Model and Numerical Optimization

2013 ◽  
Vol 13 (5) ◽  
pp. 265-272 ◽  
Author(s):  
K. Simunovic ◽  
G. Simunovic ◽  
T. Saric
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Aluminium Alloy ◽  
Surface Quality ◽  
Numerical Optimization ◽  
Cutting Parameters ◽  
Multiple Regression Model ◽  
Depth Of Cut ◽  
Statistical Regression ◽  
Significant Regression

Abstract The surface roughness is a very significant indicator of surface quality. It represents an essential exploitation requirement and influences technological time and costs, i.e. productivity. For that reason, the main objective of this paper is to analyse the influence of face milling cutting parameters (number of revolution, feed rate and depth of cut) on the surface roughness of aluminium alloy. Hence, a statistical (regression) model has been developed to predict the surface roughness by using the methodology of experimental design. Central composite design is chosen for fitting response surface. Also, numerical optimization considering two goals simultaneously (minimum propagation of error and minimum roughness) was performed throughout the experimental region. In this way, the settings of cutting parameters causing the minimum variability in response were determined for the estimated variations of the significant regression factors.

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