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Book part
Publication date: 11 May 2007

Claude Rubinson and Charles C. Ragin

Shalev's (2007) critique of the use of multiple regression in comparative research brings together and synthesizes a variety of previous critiques, ranging from those…

Abstract

Shalev's (2007) critique of the use of multiple regression in comparative research brings together and synthesizes a variety of previous critiques, ranging from those focusing on foundational issues (e.g., the persistent problem of limited diversity), to estimation issues (e.g., the unrealistic assumption of correct model specification), to narrow technical issues (e.g., the difficulty of deriving valid standard errors for regression coefficients in pooled cross-sectional time-series models). Broadly speaking, these concerns can be described as epistemological, theoretical, and methodological, respectively. While the distinctions among these three are not always clear-cut, the tripartite scheme provides a useful way to map the different kinds of critiques that may be directed at the use of regression analysis in comparative research. In the first half of this essay we build upon Shalev's discussion to clarify the conditions under which regression analysis may be epistemologically, theoretically, or methodologically inappropriate for comparative research. Our goal is to situate Shalev's specific critiques of the use of multiple regression in comparative work within the context of social research in general.

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Capitalisms Compared
Type: Book
ISBN: 978-1-84950-414-0

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Book part
Publication date: 25 April 2014

Farshid Shams

The aim of this chapter is to introduce a methodology that enables researchers to employ a set of systematic comparative tools and techniques in their multiple case study…

Abstract

The aim of this chapter is to introduce a methodology that enables researchers to employ a set of systematic comparative tools and techniques in their multiple case study research that allow them to move from drawing loose comparisons towards a more formalised type of analysis, while simultaneously paying attention to within-case complexities. This methodology stands between the qualitative and the quantitative methods and helps researchers to build middle-range theories (Mjoset, 2001) from small to intermediate numbers of cases. This methodology encompasses a number of techniques including crisp and fuzzy set-theoretic qualitative comparative analyses, which have been used in a wide range of social science disciplines. However, these techniques have not received sufficient attention from higher education scholars.

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Theory and Method in Higher Education Research II
Type: Book
ISBN: 978-1-78350-823-5

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Book part
Publication date: 10 April 2019

Petteri T. Leppänen, Aaron F. McKenny and Jeremy C. Short

Research in entrepreneurship is increasingly exploring how archetypes, taxonomies, typologies, and configurations can help scholars understand complex entrepreneurial…

Abstract

Research in entrepreneurship is increasingly exploring how archetypes, taxonomies, typologies, and configurations can help scholars understand complex entrepreneurial phenomena. We illustrate the potential for set-theoretic methods to inform this literature by offering best practices regarding how qualitative comparative analysis (QCA) can be used to explore research questions of interest to entrepreneurship scholars. Specifically, we introduce QCA, document how this approach has been used in management research, and provide step-by-step guidance to empower scholars to use this family of methods. We put a particular emphasis on the analytical procedures and offer solutions to dealing with potential pitfalls when using QCA-based methods and highlight opportunities for future entrepreneurship research.

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Standing on the Shoulders of Giants
Type: Book
ISBN: 978-1-78756-336-0

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Book part
Publication date: 8 June 2011

Thomas Greckhamer and Kevin W. Mossholder

Purpose – This chapter examines the potential of qualitative comparative analysis (QCA) for strategy research.Methodology/approach – We introduce the set-theoretic…

Abstract

Purpose – This chapter examines the potential of qualitative comparative analysis (QCA) for strategy research.

Methodology/approach – We introduce the set-theoretic framework of QCA and provide an overview of recent methodological developments.

Findings – We utilize a variety of examples relevant to strategy research to illustrate the action steps and key concepts involved in conducting a QCA study.

Originality/value of paper – We develop examples from core research areas in strategic management to illustrate QCA's potential for examining issues of causality and diversity in strategy research, and in settings involving medium-N samples. We conclude by emphasizing that QCA offers an alternative mode of inquiry to open and redirect important lines of strategy research.

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Building Methodological Bridges
Type: Book
ISBN: 978-1-78052-026-1

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Article
Publication date: 19 April 2013

Sally A. Lesik and Maria T. Mitchell

This paper aims to describe how a fuzzy qualitative comparative analysis can be used to describe which combinations of academic factors are most influential for achieving…

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Abstract

Purpose

This paper aims to describe how a fuzzy qualitative comparative analysis can be used to describe which combinations of academic factors are most influential for achieving success in college‐level mathematics. Using a fuzzy qualitative comparative analysis allows for the comparison of all possible combinations for a collection of predictor variables, as well as strategies for determining which configurations of these sets of variables are the most consistent with success in college‐level mathematics. Recent advances in fuzzy qualitative comparative analysis techniques have now integrated traditional qualitative comparative analysis strategies with formal statistical tests, thus allowing for the analysis and comparison of complex relationships that are difficult to describe with more traditional statistical methods such as regression analysis.

Design/methodology/approach

Data were collected from 259 full‐time, first‐time freshmen at a large state university in the USA. They were analysed using fuzzy‐set qualitative comparative analysis (FQCA).

Findings

Findings from this study suggest that the most parsimonious configuration of college remediation status, spending less time away from mathematics, and doing better in high school mathematics are key to success in college‐level mathematics.

Originality/value

Although numerous studies have made great progress in describing the complex relationship between prior mathematics exposure in high school with success in college‐level mathematics, one limitation of many studies is that they rely on analytic methods that only estimate the net effect of a single predictor variable, or a very small collection of predictor variables. This study utilises fuzzy‐set qualitative comparative analysis (FQCA) which can be used to analyze more complex interrelationships among a collection of predictor variables.

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Journal of Applied Research in Higher Education, vol. 5 no. 1
Type: Research Article
ISSN: 2050-7003

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Article
Publication date: 18 May 2021

S. Mostafa Rasoolimanesh, Christian M. Ringle, Marko Sarstedt and Hossein Olya

This study aims to propose guidelines for the joint use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis

Abstract

Purpose

This study aims to propose guidelines for the joint use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to combine symmetric and asymmetric perspectives in model evaluation, in the hospitality and tourism field.

Design/methodology/approach

This study discusses PLS-SEM as a symmetric approach and fsQCA as an asymmetric approach to analyze structural and configurational models. It presents guidelines to conduct an fsQCA based on latent construct scores drawn from PLS-SEM, to assess how configurations of exogenous constructs produce a specific outcome in an endogenous construct.

Findings

This research highlights the advantages of combining PLS-SEM and fsQCA to analyze the causal effects of antecedents (i.e., exogenous constructs) on outcomes (i.e., endogenous constructs). The construct scores extracted from the PLS-SEM analysis of a nomological network of constructs provide accurate input for performing fsQCA to identify the sufficient configurations required to predict the outcome(s). Complementing the assessment of the model’s explanatory and predictive power, the fsQCA generates more fine-grained insights into variable relationships, thereby offering the means to reach better managerial conclusions.

Originality/value

The application of PLS-SEM and fsQCA as separate prediction-oriented methods has increased notably in recent years. However, in the absence of clear guidelines, studies applied the methods inconsistently, giving researchers little direction on how to best apply PLS-SEM and fsQCA in tandem. To address this concern, this study provides guidelines for the joint use of PLS-SEM and fsQCA.

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Article
Publication date: 28 April 2020

Bjoern Ivens, Florian Riedmueller and Peter van Dyck

The purpose of this paper is to provide meaningful information about sponsorship management in state-owned enterprises.

Abstract

Purpose

The purpose of this paper is to provide meaningful information about sponsorship management in state-owned enterprises.

Design/methodology/approach

Qualitative and quantitative data from Germany are analyzed in a case study approach using fuzzy-set qualitative comparative analysis (Fs/QCA)—an analytic method relevant for describing configurational patterns of causal factors.

Findings

The case study of sponsorships from state-owned enterprises in Germany reveals four alternative configurations of top-management support, sponsee prominence, standardized processes, and sponsorship leverage explaining sponsor satisfaction.

Originality/value

The paper combines two underrepresented but important aspects of sponsorship research, i.e. sponsorship management in state-owned enterprises, in an empirical study. Further, present study adds to sponsorship literature by pointing to fuzzy-set Fs/QCA as a relatively novel method that can capture the phenomenon of complex causality.

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International Journal of Sports Marketing and Sponsorship, vol. 21 no. 4
Type: Research Article
ISSN: 1464-6668

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Article
Publication date: 9 August 2018

Cristina Ponsiglione, Adelaide Ippolito, Simonetta Primario and Giuseppe Zollo

The purpose of this paper is to explore the configuration of factors affecting the accuracy of triage decision-making. The contribution of the work is twofold: first, it…

Abstract

Purpose

The purpose of this paper is to explore the configuration of factors affecting the accuracy of triage decision-making. The contribution of the work is twofold: first, it develops a protocol for applying a fuzzy-set qualitative comparative analysis (fsQCA) in the context of triage decision-making, and second, it studies, through two pilot cases, the interplay between individual and organizational factors in determining the emergence of errors in different decisional situations.

Design/methodology/approach

The methodology adopted in this paper is the qualitative comparative analysis (QCA). The fuzzy-set variant of QCA (fsQCA) is implemented. The data set has been collected during field research carried out in the Emergency Departments (EDs) of two Italian public hospitals.

Findings

The results of this study show that the interplay between individual and contextual/organizational factors determines the emergence of errors in triage assessment. Furthermore, there are some regularities in the patterns discovered in each of the investigated organizational contexts. These findings suggest that we should avoid isolating individual factors from the context in which nurses make their decisions.

Originality/value

Previous research on triage has mainly explored the impact of homogeneous groups of factors on the accuracy of the triage process, without considering the complexity of the phenomenon under investigation. This study outlines the need to consider the not-linear relationships among different factors in the study of triage’s decision-making. The definition and implementation of a protocol to apply fsQCA to the triage process in EDs further contributes to the originality of the research.

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Article
Publication date: 30 September 2020

Sara El-Deeb, Maria Correia and Christian Richter

The purpose of this paper is to investigate what drives people to show a willingness to mitigate the effects of climate change. To accomplish this goal, this research uses…

Abstract

Purpose

The purpose of this paper is to investigate what drives people to show a willingness to mitigate the effects of climate change. To accomplish this goal, this research uses the theory of planned behaviour to examine whether attitude towards climate change, subjective norm and perceived behavioural control are potential determinants of a pro-environmental intention and thus a pro-environmental behaviour.

Design/methodology/approach

This explanatory paper applies a Fuzzy Set Qualitative Comparative Analysis to identify the key drivers of pro-environmental intention and behaviour. A non-probability convenience sample of 481 Egyptian respondents was collected.

Findings

This study finds that awareness combined with a willingness to pay to mitigate climate change are key drivers of pro-environmental intention. Moreover, personal responsibility and confidence in the ability to mitigate climate change also trigger climate-friendly intentions. Finally, it is found that societal engagement and willingness to take action increase the propensity to exhibit pro-environmental behaviour.

Research limitations/implications

The results of our analysis cannot be generalized to the Egyptian population as a whole as our sample only comprises a sample of Egyptian students.

Originality/value

This paper is novel as it is the first that applies Qualitative Comparative Analysis to the Theory of Planned Behaviour. By doing so, the paper sheds light on the understanding of key cognitive, social-psychological and behavioural factors which lead to environmental actions. Hence, it provides policy-makers with a framework to support a more sustainable society.

Details

International Journal of Sociology and Social Policy, vol. 41 no. 7/8
Type: Research Article
ISSN: 0144-333X

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Content available
Book part
Publication date: 27 December 2016

Abstract

Details

Bad to Good
Type: Book
ISBN: 978-1-78635-333-7

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