scholarly journals On the Interplay Between Consumer Dispositions and Perceived Brand Globalness: Alternative Theoretical Perspectives and Empirical Assessment

2019 ◽  
Vol 27 (4) ◽  
pp. 39-57 ◽  
Author(s):  
Adamantios Diamantopoulos ◽  
Vasileios Davvetas ◽  
Fabian Bartsch ◽  
Timo Mandler ◽  
Maja Arslanagic-Kalajdzic ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Total Sample ◽  
Data Sets ◽  
Local Identity ◽  
Consumer Responses ◽  
Global Brands ◽  
Selective Perception ◽  
Theoretical Perspectives ◽  
Rival Model ◽  
The Relationship

Although prior research is congested with constructs intended to capture consumers’ dispositions toward globalization and global/local products, their effects appear to replicate with difficulty, and little is known about the underlying theoretical mechanisms. This investigation revisits the relationship between prominent consumer dispositions (consumer ethnocentrism, cosmopolitanism, global/local identity, globalization attitude) and perceived brand globalness as determinants of consumer responses to global brands. Drawing on selective perception and social identity theories, the authors consider several theory-based model specifications that reflect alternative mechanisms through which key consumer dispositions relate to brand globalness and affect important brand-related outcomes. By employing a flexible model that simultaneously accounts for moderating, mediating, conditional, and direct effects, we empirically test these rival model specifications. A meta-analysis of 264 effect sizes obtained from 13 studies with 23 unique data sets and a total sample of 1,410 consumers raises concerns regarding the (potentially overstated) utility of consumer dispositions for explaining consumer responses to global brands. It also reveals a need for further conceptual contemplation of their function in international consumer research and managerial practice.

scholarly journals Lower incidence of unintentional injury with older age in children in China? A meta-analysis

2018 ◽  
Vol 4 (2) ◽  
pp. 42
Author(s):  
Hui Ting Yu ◽  
Chan Nie ◽  
Yanna Zhou ◽  
Xue Wang ◽  
Haiyan Wang ◽  
...  
Keyword(s):  
Subgroup Analysis ◽  
Meta Analysis ◽  
Unintentional Injury ◽  
Total Sample ◽  
Older Age ◽  
Analysis Method ◽  
Unintentional Injuries ◽  
Cochrane Systematic Review ◽  
Spss Software ◽  
The Relationship

Objective: The aim of this study was to identify the relationship between children's age and the incidence of unintentional injuries, and giving some basic data on the guidance for the prevention of unintentional injuries in children aged 0 to 18 years in China.Methods: The literatures on the incidence of unintentional injury in children included in China from 2008 to 2018 were analyzed by meta-analysis method. The data were retrieved according to the guidance of Cochrane Systematic review. A meta-analysis was carried out on homogeneous studies, and then subgroup analysis was conducted according to age group. Publication bias was also evaluated. Stata software (version 15.0) and SPSS software (version 18.0) were used to analyze the gathered information. Results: A total of 3，303 related pieces of literature were reviewed. Of the 37 that met the inclusion criteria. The meta-analysis showed that total sample sizes were 77，023, and the pooled incidence of unintentional injury is 20%, 95%CI (17%-23%), (P< 0.001). Subgroup analysis showed the following results: the incidence are 15%, 23%, 20% and 20% for aged in “0-2”, “3-5”, “6-11”, “12-18” subgroups, respectively. However, the trend of decreased incidence of unintentional injury with older age in children was not significant.Conclusions: The pooled incidence of unintentional injuries in children is high. Based on accessible literature, the incidence between different age subgroup were not statistically significant. We should pay attention to the incidence of unintentional injuries in children of all age subgroups.

scholarly journals A reassessment of the relationship between depression and all-cause mortality in 3,604,005 participants from 293 studies

2017 ◽  
Author(s):  
Eiko I Fried ◽  
Beyon Miloyan
Keyword(s):  
Systematic Reviews ◽  
Meta Analysis ◽  
Total Sample ◽  
Mental Condition ◽  
Analysis Methodology ◽  
All Cause Mortality ◽  
Model Adjustment ◽  
Relationship Of ◽  
The Relationship

The objective of this study is to explain inconsistencies in the relationship between depression and all-cause mortality by performing a reassessment of the included studies of previous systematic reviews. We assessed study-level methodological variables with a focus on sample size and follow-up period, measurement and classification of depression, and model adjustment. We included the constituent studies of fifteen systematic reviews on depression and mortality, yielding 488 articles after the removal of duplicates. 333 studies were extracted, 40 of which used data that overlapped with other included studies. We included 313 estimates from 293 articles in the meta-analysis with a total sample of 3,604,005 participants and over 417,901 deaths. We identified a pronounced publication bias favoring large, positive associations in imprecise studies. Several factors moderated the relationship between depression and mortality. Most importantly, the 16 estimates adjusting for at least one comorbid mental condition (Pooled Effect: 1.08; 95% CI: 0.98-1.18), and the fraction of 8 of those estimates also adjusting for health variables (e.g., smoking, alcohol use, or physical inactivity; Pooled Effect: 1.04; 95% CI: 0.87-1.21), reported considerably smaller associations than the 204 unadjusted estimates (Pooled Effect: 1.32; 95% CI: 1.28-1.36). The sizable relationship of depression and mortality reported in previous systematic reviews is largely based on low-quality studies; controlling for important covariates attenuates the association considerably. Higher quality studies are needed based on large community samples, extensive follow-up, adjustment for health behaviors and mental disorders, and time-to-event outcomes based on survival analysis methodology.

scholarly journals Kajian Meta-Analisis Hubungan antara Self Esteem dan Kesejahteraan Psikologis

2017 ◽  
Vol 25 (1) ◽  
Author(s):  
Yeni Triwahyuningsih
Keyword(s):  
Sampling Error ◽  
Meta Analysis ◽  
Well Being ◽  
Total Sample ◽  
Self Esteem ◽  
Psychological Wellbeing ◽  
Psychological Well Being ◽  
Empirically Supported ◽  
Different Cultures ◽  
The Relationship

In the last decade,the research on the relationship between self esteem and psychological well - being has increased. The wellbeing that distinguishes between hedonic and eudaimonic ideology is widely used in research and has been empirically supported by experts from different cultures. The results of the study about correlation between self-esteem and psychological wellbeing showed varying results. The purpose of this study was to determine the relationship between self esteem and psychological wellbeing through a meta-analysis study. The total study used was 24. Meta-analysis was performed based on sampling error. The results of the meta-analysis show generally that between self-esteem and psychological well-being is low. Correlation based on sampling error is 0.269, withi n the 95% confidence interval limit. The limited number of studies in the study may be a weakness. The accuracy of meta-analysis depends on the total sample used

scholarly journals Smoking of tobacco is the cause of human lung cancer

2019 ◽  
Vol 9 (1-s) ◽  
pp. 148-160
Author(s):  
Ilija Barukčić
Keyword(s):  
Lung Cancer ◽  
Cigarette Smoking ◽  
Causal Relationship ◽  
Null Hypothesis ◽  
Human Lung ◽  
Meta Analysis ◽  
Total Sample ◽  
Human Lung Cancer ◽  
P Value ◽  
The Relationship

Objective: The aim of this study is to re-evaluate the relationship between smoking and lung cancer. Methods: In order to clarify the relationship between cigarette smoking and lung cancer, a review and meta-analysis of appropriate studies with a total sample size of n = 48393 was conducted. The p-value was set to p < 0,05. Results: It was not possible to reject the null-hypothesis H0: without smoking no lung cancer. Furthermore, the null-hypothesis H0: No causal relationship between smoking and lung cancer was rejected. Conclusions: Compared to the results from previous studies, the results of this study confirm previously published results. According the results of this study, without smoking no lung cancer. Smoking is the cause of lung cancer. Keywords: Smoking, lung cancer, causal relationship

scholarly journals Liberals and Conservatives are Similarly Motivated to Avoid Exposure to One Another’s Opinions

2017 ◽  
Author(s):  
Jeremy Abraham Frimer ◽  
Linda Skitka ◽  
Matt Motyl
Keyword(s):  
Cognitive Dissonance ◽  
Meta Analysis ◽  
Selective Exposure ◽  
The Other ◽  
Culture War ◽  
Data Sets ◽  
Shared Reality ◽  
Political Left ◽  
Left And Right ◽  
The Relationship

Ideologically committed people are similarly motivated to avoid ideologically crosscutting information. Although some previous research has found that political conservatives may be more prone to selective exposure than liberals are, we find similar selective exposure motives on the political left and right across a variety of issues. The majority of people on both sides of the same-sex marriage debate willingly gave up a chance to win money to avoid hearing from the other side (Study 1). When thinking back to the 2012 U.S. Presidential election (Study 2), ahead to upcoming elections in the U.S. and Canada (Study 3), and about a range of other Culture War issues (Study 4), liberals and conservatives reported similar aversion toward learning about the views of their ideological opponents. Their lack of interest was not due to already being informed about the other side or attributable election fatigue. Rather, people on both sides indicated that they anticipated that hearing from the other side would induce cognitive dissonance (e.g., require effort, cause frustration) and undermine a sense of shared reality with the person expressing disparate views (e.g., damage the relationship; Study 5). A high-powered meta-analysis of our data sets (N = 2417) did not detect a difference in the intensity of liberals' (d = 0.63) and conservatives' (d = 0.58) desires to remain in their respective ideological bubbles.

scholarly journals The relationship between depression and risk of metabolic syndrome: a meta‐analysis of observational studies

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yousef Moradi ◽  
Ahmed N Albatineh ◽  
Hassan Mahmoodi ◽  
Reza Ghanei Gheshlagh
Keyword(s):  
Metabolic Syndrome ◽  
Observational Studies ◽  
Meta Analysis ◽  
Total Sample ◽  
Cross Sectional ◽  
Depressed Patients ◽  
Newcastle Ottawa Scale ◽  
Cross Sectional Studies ◽  
The Relationship ◽  
Ottawa Scale

Abstract Introduction The link between metabolic syndrome and depression has always been controversial. Different studies that have examined the relationship between metabolic syndrome and depression have reported different results. Therefore, the goal of the present study was to examine the association between depression and MetS by meta-analysis. Methods Embase, Scopus, PubMed, and ISI were searched for publications in English from January 1990 to February 2020. Search included cohort and cross-sectional studies aimed at examining the association between depression and MetS. The risk of bias was assessed by Newcastle-Ottawa Scale. Heterogeneity and publication bias were tested, subgroup analysis and meta-regression were conducted. Results 49 studies with total sample size 399,494 were analyzed. Results indicated the odds of MetS was higher in depressed compared to non-depressed individuals [OR: 1.48; 95 %CI: 1.33–1.64) vs. (OR: 1.38; 95 %CI: 1.17–1.64)]. For cross-sectional studies, depressed patients in Europe (OR = 1.35; 95 %CI: 1.47–1.99) were at higher odds of MetS compared to those in America and Asia. For cohort studies, depressed patients in America (OR = 1.46; 95 %CI: 1.16–1.84) were at higher odds of MetS than those in Europe. Cross-sectional studies indicated women with depression were at higher odds of MetS (OR = 1.95; 95 %CI: 1.38–2.74) compared to men. In both types of studies, the odds of MetS decreased with age. Conclusions Metabolic syndrome is more common in depressed compared to non-depressed individuals.

Which Factors Moderate the Relationship between Sustainability Performance and Financial Performance? A Meta-Analysis Study

2015 ◽  
Vol 15 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Wenxiang (Lucy) Lu ◽  
Martin E. Taylor
Keyword(s):  
Financial Performance ◽  
Sample Size ◽  
Environmental Sustainability ◽  
Meta Analysis ◽  
Corporate Sustainability ◽  
Total Sample ◽  
Sustainability Performance ◽  
Corporate Sustainability Performance ◽  
Long Run ◽  
The Relationship

ABSTRACT The relationship between corporate sustainability performance (CSP) and corporate financial performance (CFP) has long been debated. Ullman (1985) pointed out that the conflicting results could be influenced by many factors, such as sample size, industrial context, inconsistent measurement of CSP and CFP, research methodologies, and procedures for data collection and analysis. This paper addresses Ullman's (1985) concerns by providing a more methodologically rigorous review of the CSP-CFP relationship than prior research studies. A meta-analysis of 198 studies yields a total sample size of 31,514 observations. The meta-analytic findings suggest that sustainability performance likely increases a firm's financial performance, especially in the long run. Compared to social sustainability, environmental sustainability, to a larger extent, contributes to the positive CSP-CFP relationship. In addition, CSP appears to be more highly correlated with accounting-based measures of CFP than with market-based indicators. Multi-industry, pre-2000 studies, and non-U.S. sample firms seem to show a stronger impact on the positive relationship between CSP and CFP than other sample indicators. A final finding is that the methodology used in the analysis has a significant impact on the results.

scholarly journals Personality and team performance: a meta‐analysis

2006 ◽  
Vol 20 (5) ◽  
pp. 377-396 ◽  
Author(s):  
Miranda A. G. Peeters ◽  
Harrie F. J. M. van Tuijl ◽  
Christel G. Rutte ◽  
Isabelle M. M. J. Reymen
Keyword(s):  
Team Performance ◽  
Big Five ◽  
Analytical Procedure ◽  
Meta Analysis ◽  
Total Sample ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Team Composition ◽  
Student Teams ◽  
The Relationship

Using a meta‐analytical procedure, the relationship between team composition in terms of the Big‐Five personality traits (trait elevation and variability) and team performance were researched. The number of teams upon which analyses were performed ranged from 106 to 527. For the total sample, significant effects were found for elevation in agreeableness (ρ = 0.24) and conscientiousness (ρ = 0.20), and for variability in agreeableness (ρ = −0.12) and conscientiousness (ρ = −0.24). Moderation by type of team was tested for professional teams versus student teams. Moderation results for agreeableness and conscientiousness were in line with the total sample results. However, student and professional teams differed in effects for emotional stability and openness to experience. Based on these results, suggestions for future team composition research are presented. Copyright © 2006 John Wiley & Sons, Ltd.

scholarly journals The relationship between the perception of justice in the organization and the intention to leave the organization: Meta-analysis

2021 ◽  
Vol 11 (1) ◽  
pp. 68-117
Author(s):  
Katarina Milić
Keyword(s):  
Procedural Justice ◽  
Sample Size ◽  
Meta Analysis ◽  
Intention To Leave ◽  
Total Sample ◽  
Moderate Intensity ◽  
Total Sample Size ◽  
Quantitative Synthesis ◽  
Large Heterogeneity ◽  
The Relationship

The aim of this meta-analysis is to examine the connection between distributive and procedural justice and the intention to leave the organization by quantitative synthesis of available empirical papers that meet the defined criteria. 126 papers have been found through the search of the literature, out of which 58 studies met all the defined criteria. After summing up all studies that had data on the correlation between distributive justice and the intention to leave the organization, the total sample size equals 20068, while the total sample size of studies that had data on the correlation between procedural justice and the intention to leave the organization equals 17901. The results show that distributive and procedural justice are significantly, negatively correlated to the intention to leave the organization and that this connection is of moderate intensity. Examination of the file-drawer effect has shown that there was no bias in the selection of studies which will be included in the process of meta-analysis. Since the results have shown that there is a very large heterogeneity between the studies that have entered the process of meta-analysis, the moderating effect of the category of the journal in which the studies have been published was examined as well. The results have shown that the weighted magnitudes of the effects do not differ with respect to the category of the journal in which the studies have been published.

scholarly journals A Meta-Analysis to Understand the Relationship between Pig Body Weight and Variation from Birth to Market

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2088
Author(s):  
Andres F. Tolosa ◽  
Joel M. DeRouchey ◽  
Mike D. Tokach ◽  
Robert D. Goodband ◽  
Jason C. Woodworth ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Polynomial Regression ◽  
Meta Analysis ◽  
Data Sets ◽  
Prediction Equations ◽  
The Mean ◽  
The Relationship

This meta-analysis aims to understand the changes in pig body weight (BW) variation from birth to market and develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Standard deviation is the measure of dispersion of a set of values from the mean and CV is the SD expressed as a percentage of the mean. Data collected from 16 papers and data sets yielded 117,268 individually weighed pigs with sample size ranging from 120 to 4108 pigs. Polynomial regression analysis was conducted separately for each variation measurement. The resulting prediction equations (CV (%) = 20.04 − 0.135 × (BW) + 0.00043 × (BW)2, R2 = 0.79; SD = 0.41 + 0.150 × (BW) − 0.00041 × (BW)2, R2 = 0.95) suggest that there is a quadratic decreasing relationship between the CV of a population and BW, the slope gets smaller as mean BW increases from birth to market. A quadratic increasing relationship is observed for SD, with slope being smaller as mean BW of pigs increases from birth to market. These prediction equations can be used by swine producers to estimate expected CV and SD of BW among a population of pigs.

Sign in / Sign up

Export Citation Format

Share Document