Remaining within-cluster heterogeneity: a meta-analysis of the "dark side" of clustering methods

2009 ◽  
Vol 25 (3-4) ◽  
pp. 273-293 ◽  
Author(s):  
Nikolaus Franke ◽  
Heribert Reisinger ◽  
Daniel Hoppe
Keyword(s):  
Meta Analysis ◽  
Dark Side ◽  
Clustering Methods

Who influences employees’ dark side: A multi-foci meta-analysis of counterproductive workplace behaviors

2020 ◽  
pp. 204138662096255
Author(s):  
Eko Yi Liao ◽  
Amy Yamei Wang ◽  
Cheryl Qianru Zhang
Keyword(s):  
Meta Analysis ◽  
Field Studies ◽  
Private Life ◽  
Situational Factors ◽  
Dark Side ◽  
Conservation Of Resources ◽  
Conservation Of Resources Theory ◽  
Quantitative Review ◽  
Workplace Behaviors ◽  
Counterproductive Workplace Behaviors

We adopt a multi-foci perspective to provide a theory-driven quantitative review of employee counterproductive workplace behaviors (CWBs) by meta-analyzing the relationships between CWB and four groups of antecedents. Specifically, CWB antecedents stemming from four sources—supervisors, organization, coworkers, and private life—were included to investigate differences in their relationships with employee CWB. Based on the Conservation of Resources Theory, we argue that favorable and unfavorable correlates relate to employee CWB to different degrees. The meta-analysis included 181 field studies with 223 independent samples. Results indicated that unfavorable antecedents correlate more strongly with CWB than favorable antecedents. We also found that supervisor- and organization-related antecedents have stronger relationships with CWB than those from the two other groups. Implications include a deeper understanding of which situational factors relate the most—or least—to CWB which can help better address CWB in the workplace.

scholarly journals Meta-analysis of Cytometry Data Reveals Racial Differences in Immune Cells

2017 ◽  
Author(s):  
Zicheng Hu ◽  
Chethan Jujjavarapu ◽  
Jacob J. Hughey ◽  
Sandra Andorf ◽  
Hao-Chih Lee ◽  
...  
Keyword(s):  
Racial Differences ◽  
Immune Cells ◽  
Statistical Power ◽  
Meta Analysis ◽  
Cell Populations ◽  
Clustering Methods ◽  
Mass Cytometry ◽  
Scanning Method ◽  
The Public ◽  
Multiple Cell

AbstractWhile meta-analysis has demonstrated increased statistical power and more robust estimations in studies, the application of this commonly accepted methodology to cytometry data has been challenging. Different cytometry studies often involve diverse sets of markers. Moreover, the detected values of the same marker are inconsistent between studies due to different experimental designs and cytometer configurations. As a result, the cell subsets identified by existing auto-gating methods cannot be directly compared across studies. We developed MetaCyto for automated meta-analysis of both flow and mass cytometry (CyTOF) data. By combining clustering methods with a silhouette scanning method, MetaCyto is able to identify commonly labeled cell subsets across studies, thus enabling meta-analysis. Applying MetaCyto across a set of 10 heterogeneous cytometry studies totaling 2926 samples enabled us to identify multiple cell populations exhibiting differences in abundance between White and Asian adults. Software is released to the public through GitHub (github.com/hzc363/MetaCyto).

Psychological Ownership: A Meta-Analysis and Comparison of Multiple Forms of Attachment in the Workplace

2020 ◽  
pp. 014920632091719
Author(s):  
Yucheng Zhang ◽  
Guangjian Liu ◽  
Long Zhang ◽  
Shan Xu ◽  
Mike W.-L. Cheung
Keyword(s):  
Organizational Commitment ◽  
Organizational Support ◽  
Organizational Identification ◽  
Meta Analysis ◽  
Explanatory Power ◽  
Performance Outcomes ◽  
Incremental Validity ◽  
Psychological Ownership ◽  
Dark Side ◽  
Equation Modeling

This quantitative review systematically integrates the antecedents and outcomes of psychological ownership (PO) and examines its incremental validity and explanatory power compared with two other forms of workplace attachment (i.e., organizational commitment and organizational identification). Across 141 studies published over 20 years, our meta-analysis shows that apart from the factors related to the three traditional categories of PO antecedents (i.e., control, knowing, and investment), safety (e.g., organizational justice, trust, perceived organizational support, and relational closeness) is an emerging antecedent leading to PO. In addition, we find that PO is related not only to employees’ attitudinal and performance outcomes but also to some dark-side outcomes (e.g., territorial behaviors). Furthermore, after applying two advanced methods, that is, two-stage meta-analytic structural equation modeling and dominance analysis, to the analysis of 294 studies (including 291 primary studies and three published meta-analyses), the results reveal that PO has an incremental validity above that of organizational commitment and organizational identification in predicting employees’ in-role performance and organizational citizenship behaviors. Theoretical and practical implications are discussed.

A Parsimonious Explanation of the Resilient, Undercontrolled, and Overcontrolled Personality Types

2017 ◽  
Vol 31 (6) ◽  
pp. 658-668 ◽  
Author(s):  
Tom Rosenström ◽  
Markus Jokela ◽  
Christian Kandler
Keyword(s):  
Big Five ◽  
Meta Analysis ◽  
Clustering Algorithms ◽  
Simulated Data ◽  
Personality Types ◽  
Correlation Structure ◽  
Clustering Methods ◽  
Personality Psychology ◽  
Cluster Solutions ◽  
Personality Description

Researchers applying clustering methods have found that the five most commonly studied personality traits (the ‘Big Five’) appear to form three prototypes, known as resilient, undercontrolled, and overcontrolled (RUO) personality types. The analysis has been replicated cross–nationally, and the results have been reasonably robust. However, these findings do not necessarily imply discontinuities or non–linearities in the Big Five data. We study whether the RUO types can arise from typical Big Five intercorrelations alone. We used data from a previous meta–analysis of inter–trait correlations ( N = 144 117 participants) and simulated normally distributed observations with this correlation structure. Applying three different clustering algorithms ( k–means, hierarchical agglomerative, and model based) with three–cluster solutions to the simulated data, we examined whether the known correlations alone can give rise to the RUO typology. The simulated results were compared with previous empirical findings. A simple multivariate normal distribution with the Big Five correlation structure was sufficient to generate the RUO typology in three–cluster solutions for all the three clustering methods. Contrary to the RUO typology ‘carving personality description at its joints’, linear correlations typical for correlations among Big Five traits can create RUO types even in the absence of any points of discontinuity. Copyright © 2017 European Association of Personality Psychology

Sign in / Sign up

Export Citation Format

Share Document