Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design

Borgna, Camilla; Struffolino, Emanuela

doi:10.1007/978-3-319-95420-2_10

Cited by 3 publications

(2 citation statements)

References 47 publications

(47 reference statements)

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“…Alongside the two general papers (Courgeau 2018;Eerola 2018) in Part I, five papers demonstrate the benefit of combining SA with other methods to grasp the dynamics that drive the trajectories. SA is combined with survival models (Malin and Wise 2018;Lundevaller et al 2018;Rossignon et al 2018), with QCA (Borgna and Struffolino 2018), and with hidden Markov models (Helske et al 2018).…”

Section: Resultsmentioning

confidence: 99%

“…The method is illustrated with an application to competition trajectories of French pastry cooks with an explicit distinction between the junior and senior phases. The next chapter by Borgna and Struffolino (2018) combines SA with qualitative comparative analysis (QCA), which is a method related to the mining of association rules, to find out factor configurations that are 'logically sufficient' to be in employment or education at crucial time points in divided Germany. Discrepancy analysis, more specifically the analysis of the evolution of the discrepancy among sequences along the time frame, is used to identify the crucial turning points in the divergence between sequences.…”

Section: Directions For the Future: The Chapters Of This Bookmentioning

confidence: 99%

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Sequence Analysis: Where Are We, Where Are We Going?

Ritschard

Studer

2018

Life Course Research and Social Policies

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Section: Resultsmentioning

confidence: 99%

Section: Directions For the Future: The Chapters Of This Bookmentioning

confidence: 99%

Sequence Analysis: Where Are We, Where Are We Going?

Ritschard

Studer

2018

Life Course Research and Social Policies

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Comparative Configurational Process Analysis: A New Set-Theoretic Technique for Longitudinal Case Analysis

Rupietta,

Meuer

2024

Organizational Research Methods

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In the past 20 years, researchers have significantly advanced various management fields by examining organizational phenomena through a configurational lens, including competitive strategies, corporate governance mechanisms, and innovation systems. Qualitative comparative analysis (QCA) has emerged as a primary method for empirically investigating organizational configurations. However, QCA has traditionally struggled to capture the temporal aspects of configurational phenomena. In this paper, we present configurational comparative process analysis (C2PA), which merges QCA with sequence analysis. We introduce the concept of configurational themes—recognizable temporal patterns of recurring combinations of explanatory conditions—to identify and track the temporal dynamics among these phenomena. We also outline configurational matching—a method for empirically identifying these themes by distinguishing theme-defining from theme-supporting conditions. C2PA allows researchers to explore the temporal dynamics of configurational phenomena, such as their stability, emergence, and decline at critical junctures. We illustrate the application of C2PA through a study of shareholder value orientation and discuss its potential for addressing key questions in management research.

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Three Histories of Greening and Whiteness in American Cities

Connolly

Anguelovski

2021

Front. Ecol. Evol.

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How has urban greening related to the degree of whiteness in neighborhoods? The answer to this question provides an essential “historical diagnostic” that can be used to develop an approach to urban ecology which integrates racial and ethnic change into the planning for proposed interventions. In this paper we employ state sequence analysis to analyze the historical trend of greening (including the implementation of new parks, greenways, community gardens, green recreation areas, and nature preserves) between 1975 and 2014 in a sample of nine cities in the United States relative to concentrations of white and non-white residents. We divide the nine cities into three common growth trajectories and separately examine the trends for each growth trajectory. We further illustrate these trends by mobilizing qualitative data from field work in selected neighborhoods to help explain the processes that generate certain key findings in the quantitative data. We find that the relationship between greening and race/ethnicity differs according to city-level growth trajectory. Cities with continuous high and rapid levels of growth in the postwar period have the strongest link between increased greening and whiter populations. Meanwhile, in cities that contracted or had a punctuated growth pattern, non-white areas had a uniformly low level of greening that occurred mostly in recent years. In all, we show how urban growth, greening, and whiteness are inextricably associated qualities of American cities. We argue that understanding this association is essential for development of a race-conscious model for enhancing urban ecosystems.

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Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design

Cited by 3 publications

References 47 publications

Sequence Analysis: Where Are We, Where Are We Going?

Sequence Analysis: Where Are We, Where Are We Going?

Comparative Configurational Process Analysis: A New Set-Theoretic Technique for Longitudinal Case Analysis

Three Histories of Greening and Whiteness in American Cities

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