scholarly journals Within-subject mediation analysis

2017 ◽  
Author(s):  
Matti Vuorre ◽  
Niall Bolger
Keyword(s):  
Cognitive Psychology ◽  
Software Package ◽  
Causal Effects ◽  
Theory Testing ◽  
Programming Environment ◽  
Mediation Analyses ◽  
Statistical Mediation ◽  
Within Subjects ◽  
R Programming ◽  
Intervening Variables

Statistical mediation allows researchers to investigate potential causal effects of experimental manipulations through intervening variables. It is a powerful tool for assessing the presence and strength of postulated causal mechanisms. Although mediation is used in certain areas of psychology, it is rarely applied in cognitive psychology and neuroscience. One reason for the scarcity of applications is that these areas of psychology commonly employ within-subjects designs, and it is only recently that statistical mediation has been worked out satisfactorily for such designs. Here, we draw attention to the importance and ubiquity of mediational hypotheses in within-subjects designs, and we present a general and flexible software package for conducting a Bayesian within-subjects mediation analyses in the R programming environment. We use experimental data from cognitive psychology to illustrate the benefits of within-subject mediation for theory testing and comparison.

scholarly journals RCy3: Network biology using Cytoscape from within R

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1774 ◽  
Author(s):  
Julia A. Gustavsen ◽  
Shraddha Pai ◽  
Ruth Isserlin ◽  
Barry Demchak ◽  
Alexander R. Pico
Keyword(s):  
Shortest Path ◽  
Future Development ◽  
Enrichment Analysis ◽  
Network Biology ◽  
R Package ◽  
Programming Environment ◽  
R Packages ◽  
R Programming ◽  
Shortest Path Algorithms ◽  
Rest Api

RCy3 is an R package in Bioconductor that communicates with Cytoscape via its REST API, providing access to the full feature set of Cytoscape from within the R programming environment. RCy3 has been redesigned to streamline its usage and future development as part of a broader Cytoscape Automation effort. Over 100 new functions have been added, including dozens of helper functions specifically for intuitive data overlay operations. Over 40 Cytoscape apps have implemented automation support so far, making hundreds of additional operations accessible via RCy3. Two-way conversion with networks from \textit{igraph} and \textit{graph} ensures interoperability with existing network biology workflows and dozens of other Bioconductor packages. These capabilities are demonstrated in a series of use cases involving public databases, enrichment analysis pipelines, shortest path algorithms and more. With RCy3, bioinformaticians will be able to quickly deliver reproducible network biology workflows as integrations of Cytoscape functions, complex custom analyses and other R packages.

The role of brand personality in the formation of consumer affect and self-brand connection

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Justin F. McManus ◽  
Sergio W. Carvalho ◽  
Valerie Trifts
Keyword(s):  
Personality Traits ◽  
Design Methodology ◽  
Brand Personality ◽  
Content Type ◽  
Mediation Analyses ◽  
Within Subjects ◽  
The Relationship ◽  
Different Levels ◽  
Brand Personality Traits

Purpose This study aims to explore the role of brand personality traits in explaining how different levels of brand favorability evoke affect from and forge connections to consumers. Design/methodology/approach The authors used a quantitative approach consisting of within-subjects (Study 1) and between-subjects (Study 2) experimental designs. Mediation analyses were tested using OLS regression with the MEMORE and PROCESS macros. Findings Findings suggest increases in brand excitement and sincerity to be related to differences in positive affect evoked by favorable and unfavorable brands; decreases in brand sincerity to be related to differences in negative affect between favorable and unfavorable brands (Study 1); brand competence and excitement to be related to the relationship between brand favorability and self-brand connection; and brand competence and excitement to best distinguish favorable brands from unfavorable brands (Study 2). Originality/value These results support the importance of brand personality traits that are considered to be universally positive and provide managers with an initial roadmap for which brand personality traits should be prioritized when communicating with consumers.

DCEL

1998 ◽  
Vol 08 (05n06) ◽  
pp. 619-636 ◽  
Author(s):  
Gill Barequet
Keyword(s):  
Software Package ◽  
Geometric Algorithms ◽  
Programming Environment ◽  
Polyhedral Surfaces ◽  
System A ◽  
Fast Prototyping

In this paper we describe the DCEL system: a geometric software package which implements a polyhedral programming environment. This package enables fast prototyping of geometric algorithms for polyhedra or for polyhedral surfaces. We provide an overview of the system's functionality and demonstrate its use in several applications.

scholarly journals RCy3: Network biology using Cytoscape from within R

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1774 ◽  
Author(s):  
Julia A. Gustavsen ◽  
Shraddha Pai ◽  
Ruth Isserlin ◽  
Barry Demchak ◽  
Alexander R. Pico
Keyword(s):  
Shortest Path ◽  
Future Development ◽  
Enrichment Analysis ◽  
Network Biology ◽  
R Package ◽  
Programming Environment ◽  
R Packages ◽  
R Programming ◽  
Shortest Path Algorithms ◽  
Rest Api

RCy3 is an R package in Bioconductor that communicates with Cytoscape via its REST API, providing access to the full feature set of Cytoscape from within the R programming environment. RCy3 has been redesigned to streamline its usage and future development as part of a broader Cytoscape Automation effort. Over 100 new functions have been added, including dozens of helper functions specifically for intuitive data overlay operations. Over 40 Cytoscape apps have implemented automation support so far, making hundreds of additional operations accessible via RCy3. Two-way conversion with networks from \textit{igraph} and \textit{graph} ensures interoperability with existing network biology workflows and dozens of other Bioconductor packages. These capabilities are demonstrated in a series of use cases involving public databases, enrichment analysis pipelines, shortest path algorithms and more. With RCy3, bioinformaticians will be able to quickly deliver reproducible network biology workflows as integrations of Cytoscape functions, complex custom analyses and other R packages.

scholarly journals Fault tree analysis in the R programming environment

Dependability ◽  
2018 ◽  
Vol 18 (1) ◽  
pp. 4-13 ◽  
Author(s):  
Alexander V. Antonov ◽  
Evgeny Yu. Galivets ◽  
Valery A. Chepurko ◽  
Alexey N. Cherniaev
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Programming Environment ◽  
Tree Analysis ◽  
R Programming

scholarly journals The Indirect Effect is Omitted Variable Bias: A Cautionary Note on the Interpretability of Significant Results in Non-Experimental Mediation Analyses

2020 ◽  
Author(s):  
Lennert Coenen
Keyword(s):  
Indirect Effect ◽  
Indirect Effects ◽  
Population Level ◽  
Mediation Model ◽  
Cautionary Note ◽  
Simple Fact ◽  
Mediation Analyses ◽  
Statistical Mediation ◽  
Omitted Variable Bias ◽  
Variable Bias

This paper intends to remind communication scientists that the indirect effect as estimated in mediation analyses is a statistical synonym for omitted variable bias (i.e., confounding or suppression). This simple fact questions the interpretability of statistically significant ‘indirect effects’ in observational designs: in social reality all variables correlate with each other to some extent - the so-called ‘crud factor’ - which means that omitted variable bias and ‘indirect effects’ at the population level are virtually guaranteed regardless of the actual variables involved in the statistical mediation model. As a result, there can be no inferential link between the observation of a significant indirect effect and a theoretical claim of mediation. Through this argument the paper hopes to cultivate a more critical attitude toward the interpretation of ‘indirect effects’ in observational communication science.

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