scholarly journals Mixed‐method social network analysis for multi‐sited transnational migration research

2020 ◽  
Author(s):  
VALENTINA MAZZUCATO
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mixed Method ◽  
Transnational Migration ◽  
Migration Research

scholarly journals Advancing clinical leadership to improve the implementation of evidence-based practice in surgery: a longitudinal mixed-method study protocol

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Amy Grove ◽  
Aileen Clarke ◽  
Graeme Currie ◽  
Andy Metcalfe ◽  
Catherine Pope ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mixed Method ◽  
Qualitative Data ◽  
Mixed Method Study ◽  
Evidence Based ◽  
Theory Approach ◽  
Cross Sectional ◽  
Clinical Leadership

Abstract Background Clinical leadership is fundamental in facilitating service improvements in healthcare. Few studies have attempted to understand or model the different approaches to leadership which are used when promoting the uptake and implementation of evidence-based interventions. This research aims to uncover and explain how distributed clinical leadership can be developed and improved to enhance the use of evidence in practice. In doing so, this study examines implementation leadership in orthopaedic surgery to explain leadership as a collective endeavour which cannot be separated from the organisational context. Methods A mixed-method study consisting of longitudinal and cross-sectional interviews and an embedded social network analysis will be performed in six NHS hospitals. A social network analysis will be undertaken in each hospital to uncover the organisational networks, the focal leadership actors and information flows in each organisation. This will be followed by a series of repeated semi-structured interviews, conducted over 4 years, with orthopaedic surgeons and their professional networks. These longitudinal interviews will be supplemented by cross-sectional interviews with the national established surgical leaders. All qualitative data will be analysed using a constructivist grounded theory approach and integrated with the quantitative data. The participant narratives will enrich the social network to uncover the leadership configurations which exist, and how different configurations of leadership are functioning in practice to influence implementation processes and outcomes. Discussion The study findings will facilitate understanding about how and why different configurations of leadership develop and under what organisational conditions and circumstances they are able to flourish. The study will guide the development of leadership interventions that are grounded in the data and aimed at advancing leadership for service improvement in orthopaedics. The strength of the study lies in the combination of multi-component, multi-site, multi-agent methods to examine leadership processes in surgery. The findings may be limited by the practical challenges of longitudinal qualitative data collection, such as ensuring participant retention, which need to be balanced against the theoretical and empirical insights generated through this comprehensive exploration of leadership across and within a range of healthcare organisations.

Mixed Method Social Network Analysis

2016 ◽  
Vol 20 (2) ◽  
pp. 268-298 ◽  
Author(s):  
Trenton A. Williams ◽  
Dean A. Shepherd
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Organizational Behavior ◽  
Mixed Method ◽  
New Ventures ◽  
Organizational History ◽  
General Application ◽  
Social Actors ◽  
Novel Approach

This article outlines a mixed method approach to social network analysis combining techniques of organizational history development, inductive data structuring, and content analysis to offer a novel approach for network data construction and analysis. This approach provides researchers with a number of benefits over traditional sociometric or other interpersonal methodologies including the ability to investigate networks of greater scope, broader access to diverse social actors, reduced informant bias, and increased capability for longitudinal designs. After detailing this approach, we apply the method on a sample of 143 new ventures and suggest opportunities for general application in entrepreneurship, strategic management, and organizational behavior research.

scholarly journals Exploring Social Relationships in “a Mixed Way”: Mixed Structural Analysis

2020 ◽  
Author(s):  
Dominik Emanuel Froehlich
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Structural Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Method ◽  
Research Designs ◽  
Additional Input

While the concept of mixed method social network analysis (MMSNA) is gaining in popularity, there is a notable lack of specific mixed research designs that guide the implementation of MMSNA. In this chapter, I draw from qualitative social network analysis, specifically, qualitative structural analysis, and expand it towards a mixed research design. This change, which requires relatively little additional input, fulfills several important purposes at the same time, and hence may be conducive in increasing the overall quality of a study.

scholarly journals Cases, Mechanisms and the Real: The Theory and Methodology of Mixed-Method Social Network Analysis

2016 ◽  
Vol 21 (2) ◽  
pp. 217-285 ◽  
Author(s):  
Nick Crossley ◽  
Gemma Edwards
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mixed Method ◽  
Ontological Argument ◽  
Sociological Research ◽  
Methodological Framework ◽  
The Real ◽  
Theoretical Assumptions

In this paper we make a methodological case for mixed method social network analysis (MMSNA). We begin by both challenging the idea, prevalent in some quarters, that mixing methods means combining incompatible epistemological or theoretical assumptions and by positing an ontological argument in favour of mixed methods. We then suggest a methodological framework for MMSNA and argue for the importance of ‘mechanisms’ in relational-sociological research. Finally, we discuss two examples of MMSNA from our own research, using them to illustrate arguments from the paper.

scholarly journals Qualitative Methods and Visualizations in the Study of Friendship Networks

2016 ◽  
Vol 21 (2) ◽  
pp. 198-216 ◽  
Author(s):  
Elisa Bellotti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Method ◽  
Social Structures ◽  
Personal Networks ◽  
Friendship Networks ◽  
Depth Interviews ◽  
Method Approach

One of the most powerful aspects of social network data is the fact that they can reproduce social relationships in a formal and comparable way. Relational matrices abstract from the hustle and bustle of everyday interaction, and systematise information in terms of presence or absence of ties expressing them in a directed or undirected, binary or valued form. While the formal approach represents an advantage of social network analysis, as it allows bracketing off the idiosyncratic and subjective content of social structures, the mathematization of the complex nature of social relationships has also been criticised for the lack of engagement with the subjective meaning and context of relationships. Such stream of critique has called for an increase of use of qualitative methods in social network research. The first goal of the paper is to address these critiques by rebalancing the argument and showing how social network analysis has always engaged with both formal and contextual aspects of social structures. The paper reviews some theoretical perspectives that discuss and systematise a mixed method approach, and explores the methodological advantages of using network visualizations together with qualitative interviews in the collection, analysis and interpretation of personal networks. The advantages of adopting a mixed method approach are illustrated over some examples of friendship networks of 23 single male and female people collected in Milan, Italy, in 2005. A classic name generator is used to reconstruct their egonets of friends, and the visualization is adopted as the input for in-depth interviews with specific attention devoted to the meaning of friendship relationships, the kind of resources they offer, the conflicts and constrains they entail, and how they have developed and evolved over time. By comparing information obtained respectively with name generators and in-depth interviews, the paper shows how the mix of data improves and specify the understanding of personal networks.

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