A metaBUS-enabled meta-analysis of career satisfaction

2017 ◽  
Vol 22 (5) ◽  
pp. 565-582 ◽  
Author(s):  
Colin I.S.G. Lee ◽  
Frank A. Bosco ◽  
Piers Steel ◽  
Krista L. Uggerslev
Keyword(s):  
Design Methodology ◽  
Career Satisfaction ◽  
Meta Analysis ◽  
Sample Selection ◽  
Effect Sizes ◽  
Applied Psychology ◽  
Content Type ◽  
Related Information ◽  
Literature Searches ◽  
Meta Analyses

Purpose In this study, the authors revisit the meta-analytic correlates of career satisfaction and demonstrate the use of metaBUS – a database repository of meta-analytic effect sizes and related information from the field of applied psychology. The purpose of this paper is to extend prior meta-analytic research on the topic of career satisfaction and compare the results from the metaBUS-enabled meta-analysis, with the results from meta-analyses that do not build on the repository. Design/methodology/approach A multilevel meta-analysis was conducted on all correlates available in the metaBUS database and the approach was described in a step-by-step fashion. Findings The demonstration reiterated some of the findings of prior meta-analyses, but also revealed considerable incongruity between the sample taken from the metaBUS database and the meta-analytic sample from studies that relied on non-metaBUS-based literature searches. Nevertheless, the results are similar in terms of the directions of the effects and the relative sizes of the effects. Research limitations/implications The paper demonstrates the use of the metaBUS database. In addition, results suggest that meta-analyses on career satisfaction might have suffered from sample selection issues, but further research is required in order to establish the source of the sample selection incongruence. Originality/value This is the first step-by-step demonstration of the use of metaBUS specifically for meta-analyses.

A dose-response and meta-analysis of phytosterols consumption on liver enzymes

2019 ◽  
Vol 50 (3) ◽  
pp. 579-600
Author(s):  
Somayeh Tajik ◽  
Kevan Jacobson ◽  
Sam Talaei ◽  
Hamed Kord-Varkaneh ◽  
Zeinab Noormohammadi ◽  
...  
Keyword(s):  
Liver Function ◽  
Design Methodology ◽  
Liver Enzymes ◽  
Weighted Mean Difference ◽  
Meta Analysis ◽  
Serum Biochemistry ◽  
Effect Sizes ◽  
Random Effects Model ◽  
Weighted Mean ◽  
Content Type

Purpose The results of human studies evaluating the efficacy of plant Phytosterols on liver function were inconsistent. Therefore, the purpose of this paper is to eliminate these controversies about the Phytosterols consumption on liver serum biochemistry in adult subjects. Design/methodology/approach The literatures systematically searched throughout PubMed and Scopus databases up to June 2018; it was conducted by using related keywords. Estimates of effect sizes were expressed based on weighted mean difference (WMD) and 95% CI from the random-effects model (erSimonian and Laird method). Heterogeneity across studies was assessed by using I2 index. Eighteen studies reported the effects of Phytosterols (PS) supplementation on liver serum biochemistry. Findings The current meta-analysis did not show a significant effect on ALT (MD: 0.165 U/L, 95% CI: −1.25, 1.58, p = 0.820), AST (MD: −0.375 IU/Liter, 95% CI: −1.362, 0.612, p = 0.457), ALP (MD: 0.804 cm, 95% CI: −1.757, 3.366, p = 0.538), GGT (MD: 0.431 U/L, 95% CI: −1.803, 2.665, p = 0.706) and LDH (MD: 0.619 U/L, 95% CI: −4.040, 5.277, p = 0.795) following PS consumption. Originality/value The authors found that no protective or toxic effects occur after the consumption of Phytosterols on liver enzymes including ALT, AST, ALP, LDH and GGT.

Emotional intelligence and authentic leadership: a meta-analysis

2018 ◽  
Vol 39 (5) ◽  
pp. 679-690 ◽  
Author(s):  
Chao Miao ◽  
Ronald H. Humphrey ◽  
Shanshan Qian
Keyword(s):  
Emotional Intelligence ◽  
Individual Difference ◽  
Design Methodology ◽  
Authentic Leadership ◽  
Meta Analysis ◽  
Self Report ◽  
Effect Sizes ◽  
Content Type ◽  
Individual Difference Variables ◽  
Male Dominated

Purpose Authentic leadership is a popular leadership construct that stimulates considerable scholarly interest and has received substantial attention from practitioners. Among different individual difference variables, there has been a growing interest in studying the connection between emotional intelligence (EI) and authentic leadership; nevertheless, most of the existing literature on this relation was atheoretical and the results for this relation were mixed. Thus, the purpose of this paper is to clarify the relation between EI and authentic leadership. Design/methodology/approach A meta-analysis was conducted to examine the relation between EI and authentic leadership and the moderators that affect this relation. Findings The results of the present study indicated that: EI is significantly and positively related to authentic leadership (overall EI: ρ ¯ ˆ = 0.49 ; ability EI: ρ ¯ ˆ = 0.08 ; self-report EI: ρ ¯ ˆ = 0.52 ; mixed EI: ρ ¯ ˆ = 0.49 ); self-report EI and mixed EI have larger associations with authentic leadership than ability EI has; and the relation between EI and authentic leadership does not differ between male-dominated and female-dominated studies. Originality/value The present study couches the relation between EI and authentic leadership in theories and identifies important moderators for this relation which explain the heterogeneity in effect sizes for this relation across studies.

How selection attributes affect golfers’ satisfaction: a meta-analysis

2019 ◽  
Vol 31 (4) ◽  
pp. 944-956
Author(s):  
Hyun-Duck Kim ◽  
Angelita Bautista Cruz
Keyword(s):  
South Korea ◽  
Design Methodology ◽  
Citation Index ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Golf Courses ◽  
Asian Countries ◽  
Content Type ◽  
Facility Type ◽  
The Relationship

Purpose The purpose of this paper is to summarize the results of existing studies that addressed the relationship between the selection attributes of golf businesses and golfers’ satisfaction in South Korea. Design/methodology/approach Studies on the relationship between selection attributes and satisfaction per golf facility type were retrieved from the Korean Citation Index. Using Comprehensive Meta-Analysis version 2, the effect sizes (ESs) for the following relationships were calculated: between selection attributes and satisfaction with golf facilities in general; between selection attributes and satisfaction per distinct golf facility types (outdoor golf courses vs screen golf facilities); and between the sub-factors of selection attributes and satisfaction per golf facility. Findings Medium ESs were found between selection attributes and satisfaction with golf facilities in general (0.394), outdoor golf courses (0.336) and screen golf facilities (0.370). The choice attribute factors of accessibility, employees and concession had large effects on golfers’ satisfaction with outdoor golf courses, while services and concession had large effects on golfers’ satisfaction with screen golf facilities. Originality/value Among many Asian countries, golf is extremely popular and attracts more business than other sports; however, changes in consumer viewpoints and business trends necessitate consistent refinement. This meta-analytic approach offered a macro perspective on how golf facility administrators might sustain and develop their businesses by highlighting what choice attributes matter most to golf consumers.

How effective are social engineering interventions? A meta-analysis

2020 ◽  
Vol 28 (5) ◽  
pp. 801-830
Author(s):  
Jan-Willem Bullee ◽  
Marianne Junger
Keyword(s):  
Design Methodology ◽  
Meta Analysis ◽  
Social Engineering ◽  
Total Sample ◽  
Effect Sizes ◽  
Content Type ◽  
Random Effects Models ◽  
Awareness Campaigns ◽  
The Impact ◽  
Practical Implications

Purpose Social engineering is a prominent aspect of online crime. Various interventions have been developed to reduce the success of this type of attacks. This paper aims to investigate if interventions can help to decrease the vulnerability to social engineering attacks. If they help, the authors investigate which forms of interventions and specific elements constitute success. Design/methodology/approach The authors selected studies which had an experimental design and rigorously tested at least one intervention that aimed to reduce the vulnerability to social engineering. The studies were primarily identified from querying the Scopus database. The authors identified 19 studies which lead to the identification of 37 effect sizes, based on a total sample of N = 23,146 subjects. The available training, intervention materials and effect sizes were analysed. The authors collected information on the context of the intervention, the characteristics of the intervention and the characteristics of the research methodology. All analyses were performed using random-effects models, and heterogeneity was quantified. Findings The authors find substantial differences in effect size for the different interventions. Some interventions are highly effective; others have no effect at all. Highly intensive interventions are more effective than those that are low on intensity. Furthermore, interventions with a narrow focus are more effective than those with a broad focus. Practical implications The results of this study show differences in effect for different elements of interventions. This allows practitioners to review their awareness campaigns and tailor them to increase their success. Originality/value The authors believe that this is the first study that compares the impact of social engineering interventions systematically.

The Orchard Plot: Cultivating a Forest Plot for Use in Ecology, Evolution and Beyond

2019 ◽  
Author(s):  
Shinichi Nakagawa ◽  
Malgorzata Lagisz ◽  
Rose E O'Dea ◽  
Joanna Rutkowska ◽  
Yefeng Yang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
R Package ◽  
Effect Sizes ◽  
Forest Plot ◽  
Point Estimates ◽  
Aggregate Effect ◽  
The Individual ◽  
Meta Analyses ◽  
Heterogeneous Effect ◽  
Intuitive Interpretation

‘Classic’ forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the classic forest plot. Instead, most used a ‘forest-like plot’, showing point estimates (with 95% confidence intervals; CIs) from a series of subgroups or categories in a meta-regression. We propose a modification of the forest-like plot, which we name the ‘orchard plot’. Orchard plots, in addition to showing overall mean effects and CIs from meta-analyses/regressions, also includes 95% prediction intervals (PIs), and the individual effect sizes scaled by their precision. The PI allows the user and reader to see the range in which an effect size from a future study may be expected to fall. The PI, therefore, provides an intuitive interpretation of any heterogeneity in the data. Supplementing the PI, the inclusion of underlying effect sizes also allows the user to see any influential or outlying effect sizes. We showcase the orchard plot with example datasets from ecology and evolution, using the R package, orchard, including several functions for visualizing meta-analytic data using forest-plot derivatives. We consider the orchard plot as a variant on the classic forest plot, cultivated to the needs of meta-analysts in ecology and evolution. Hopefully, the orchard plot will prove fruitful for visualizing large collections of heterogeneous effect sizes regardless of the field of study.

Identification of and Correction for Publication Bias: Comment

2019 ◽  
Author(s):  
Amanda Kvarven ◽  
Eirik Strømland ◽  
Magnus Johannesson
Keyword(s):  
Publication Bias ◽  
False Positive ◽  
Large Scale ◽  
Meta Analysis ◽  
False Positive Rate ◽  
Effect Sizes ◽  
Replication Studies ◽  
Moderate Reduction ◽  
Positive Rate ◽  
Meta Analyses

Andrews & Kasy (2019) propose an approach for adjusting effect sizes in meta-analysis for publication bias. We use the Andrews-Kasy estimator to adjust the result of 15 meta-analyses and compare the adjusted results to 15 large-scale multiple labs replication studies estimating the same effects. The pre-registered replications provide precisely estimated effect sizes, which do not suffer from publication bias. The Andrews-Kasy approach leads to a moderate reduction of the inflated effect sizes in the meta-analyses. However, the approach still overestimates effect sizes by a factor of about two or more and has an estimated false positive rate of between 57% and 100%.

scholarly journals A protocol for the systematic review and meta-analysis of thigmotactic behaviour in the open field test in rodent models associated with persistent pain

2021 ◽  
Vol 5 (1) ◽  
pp. e100135
Author(s):  
Xue Ying Zhang ◽  
Jan Vollert ◽  
Emily S Sena ◽  
Andrew SC Rice ◽  
Nadia Soliman
Keyword(s):  
Systematic Review ◽  
Outcome Measure ◽  
Meta Analysis ◽  
Persistent Pain ◽  
Effect Sizes ◽  
Bias Assessment ◽  
Animal Pain ◽  
Trim And Fill ◽  
Meta Analyses ◽  
The Impact

ObjectiveThigmotaxis is an innate predator avoidance behaviour of rodents and is enhanced when animals are under stress. It is characterised by the preference of a rodent to seek shelter, rather than expose itself to the aversive open area. The behaviour has been proposed to be a measurable construct that can address the impact of pain on rodent behaviour. This systematic review will assess whether thigmotaxis can be influenced by experimental persistent pain and attenuated by pharmacological interventions in rodents.Search strategyWe will conduct search on three electronic databases to identify studies in which thigmotaxis was used as an outcome measure contextualised to a rodent model associated with persistent pain. All studies published until the date of the search will be considered.Screening and annotationTwo independent reviewers will screen studies based on the order of (1) titles and abstracts, and (2) full texts.Data management and reportingFor meta-analysis, we will extract thigmotactic behavioural data and calculate effect sizes. Effect sizes will be combined using a random-effects model. We will assess heterogeneity and identify sources of heterogeneity. A risk-of-bias assessment will be conducted to evaluate study quality. Publication bias will be assessed using funnel plots, Egger’s regression and trim-and-fill analysis. We will also extract stimulus-evoked limb withdrawal data to assess its correlation with thigmotaxis in the same animals. The evidence obtained will provide a comprehensive understanding of the strengths and limitations of using thigmotactic outcome measure in animal pain research so that future experimental designs can be optimised. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines and disseminate the review findings through publication and conference presentation.

scholarly journals Pre-post effect sizes should be avoided in meta-analyses

2016 ◽  
Vol 26 (4) ◽  
pp. 364-368 ◽  
Author(s):  
P. Cuijpers ◽  
E. Weitz ◽  
I. A. Cristea ◽  
J. Twisk
Keyword(s):  
Comparison Group ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Behaviour Therapy ◽  
Natural Processes ◽  
Cognitive Behaviour ◽  
Post Test ◽  
The Difference ◽  
Meta Analyses ◽  
Highly Cited

AimsThe standardised mean difference (SMD) is one of the most used effect sizes to indicate the effects of treatments. It indicates the difference between a treatment and comparison group after treatment has ended, in terms of standard deviations. Some meta-analyses, including several highly cited and influential ones, use the pre-post SMD, indicating the difference between baseline and post-test within one (treatment group).MethodsIn this paper, we argue that these pre-post SMDs should be avoided in meta-analyses and we describe the arguments why pre-post SMDs can result in biased outcomes.ResultsOne important reason why pre-post SMDs should be avoided is that the scores on baseline and post-test are not independent of each other. The value for the correlation should be used in the calculation of the SMD, while this value is typically not known. We used data from an ‘individual patient data’ meta-analysis of trials comparing cognitive behaviour therapy and anti-depressive medication, to show that this problem can lead to considerable errors in the estimation of the SMDs. Another even more important reason why pre-post SMDs should be avoided in meta-analyses is that they are influenced by natural processes and characteristics of the patients and settings, and these cannot be discerned from the effects of the intervention. Between-group SMDs are much better because they control for such variables and these variables only affect the between group SMD when they are related to the effects of the intervention.ConclusionsWe conclude that pre-post SMDs should be avoided in meta-analyses as using them probably results in biased outcomes.

Meta-analysis of effect sizes reported at multiple time points: A multivariate approach

2012 ◽  
Vol 9 (5) ◽  
pp. 610-620 ◽  
Author(s):  
Thomas A Trikalinos ◽  
Ingram Olkin
Keyword(s):  
Random Effects ◽  
Treatment Effects ◽  
Multivariate Analyses ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Multiple Time ◽  
Time Points ◽  
Fixed And Random Effects ◽  
Multiple Time Points ◽  
Meta Analyses

Background Many comparative studies report results at multiple time points. Such data are correlated because they pertain to the same patients, but are typically meta-analyzed as separate quantitative syntheses at each time point, ignoring the correlations between time points. Purpose To develop a meta-analytic approach that estimates treatment effects at successive time points and takes account of the stochastic dependencies of those effects. Methods We present both fixed and random effects methods for multivariate meta-analysis of effect sizes reported at multiple time points. We provide formulas for calculating the covariance (and correlations) of the effect sizes at successive time points for four common metrics (log odds ratio, log risk ratio, risk difference, and arcsine difference) based on data reported in the primary studies. We work through an example of a meta-analysis of 17 randomized trials of radiotherapy and chemotherapy versus radiotherapy alone for the postoperative treatment of patients with malignant gliomas, where in each trial survival is assessed at 6, 12, 18, and 24 months post randomization. We also provide software code for the main analyses described in the article. Results We discuss the estimation of fixed and random effects models and explore five options for the structure of the covariance matrix of the random effects. In the example, we compare separate (univariate) meta-analyses at each of the four time points with joint analyses across all four time points using the proposed methods. Although results of univariate and multivariate analyses are generally similar in the example, there are small differences in the magnitude of the effect sizes and the corresponding standard errors. We also discuss conditional multivariate analyses where one compares treatment effects at later time points given observed data at earlier time points. Limitations Simulation and empirical studies are needed to clarify the gains of multivariate analyses compared with separate meta-analyses under a variety of conditions. Conclusions Data reported at multiple time points are multivariate in nature and are efficiently analyzed using multivariate methods. The latter are an attractive alternative or complement to performing separate meta-analyses.

Career satisfaction antecedents of professional accounting returnees in international workplaces: an employee experience perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nga Thi Thuy Ho ◽  
Hung Trong Hoang ◽  
Pi-Shen Seet ◽  
Janice Jones ◽  
Nhat Tan Pham
Keyword(s):  
Design Methodology ◽  
Career Satisfaction ◽  
Home Country ◽  
Well Being ◽  
Cross Cultural ◽  
Cultural Work ◽  
Content Type ◽  
Different Types ◽  
Employee Experience ◽  
Practical Implications

PurposeThe purpose of this study is to examine the determinants of career satisfaction of professional accounting returnees who have studied and/or worked abroad and then returned to work in different types of international workplaces in their home country.Design/methodology/approachA survey of professional accounting returnees in Vietnam was undertaken and multiple regression analysis was applied to test the proposed relationships.FindingsThis study finds that career satisfaction is affected by career fit, career sacrifice, types of international workplaces (domestically headquartered firms versus globally headquartered firms) and cross-cultural work readjustment. Further, cross-cultural work readjustment partially mediates the effect of career fit and career sacrifice on career satisfaction.Practical implicationsThe research provides the basis for designing career-related employee experiences to support career satisfaction of professional accounting returnees.Originality/valueThis study integrates dimensions of career embeddedness with cross-cultural work readjustment and employee experiences, which are normally studied separately, in different types of international workplaces. It contributes to the limited research on contributors to well-being in the form of career satisfaction among professional returnees in an emerging economy.

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