Assassination and leadership: Traditional approaches and historiometric methods

Yammarino, Francis J.; Mumford, Michael D.; Serban, Andra; Shirreffs, Kristie

doi:10.1016/j.leaqua.2013.08.004

Cited by 20 publications

(28 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prior CIP studies have primarily used historiometric methods (Ligon, Harris, & Hunter, 2012) to assess the CIP style in outstanding historical leaders such as presidents (Yammarino, Mumford, Serban, & Shirreffs, 2013), world leaders (Serban et al, 2018), and college/NFL football coaches (Hunter et al, 2011). In other words, these researchers have used historical documents, such as biographies, to code whether an individual is C, I, or P. Recently, Lovelace and colleagues ( 2019) stated that research on the CIP model has been over-reliant on the historiometric approach and claimed this may be limiting the potential applications of the model.…”

Section: Limits Of Historiometric Methods and Opportunity For New Methodsmentioning

confidence: 99%

“…In supervised machine learning, this labeled data is often referred to as ground truth data. For the present study, our ground truth data was derived from Yammarino and colleagues' (2013) (Yammarino et al, 2013), we applied that same style to each presidential address. For example, Barrack Obama was classified as P, therefore, each of his presidential addresses was labeled as P.…”

Section: Ground Truth Datamentioning

confidence: 99%

See 1 more Smart Citation

Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors’ COVID-19 Press Briefings

Marshall¹,

Fj²,

Parameswaran³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Increased computing power and greater access to online data have led to rapid growth in the use of computer-aided text analysis (CATA) and machine learning methods. Using “big data”, researchers have not only advanced new streams of research, but also new research methodologies. Noting this trend and simultaneously recognizing the value of traditional research methods, we lay out a methodology that bridges the gap between old and new approaches to operationalize old constructs in new ways. With a combination of web scraping, CATA, and supervised machine learning, using ground truth data, we train a model to predict CIP (Charismatic-Ideological-Pragmatic) categorical leadership styles from running text. To illustrate this method, we apply the model to classify U.S. state governors’ COVID-19 press briefings according to their CIP leadership style. In addition, we demonstrate content and convergent validity of the method.

show abstract

Section: Limits Of Historiometric Methods and Opportunity For New Methodsmentioning

confidence: 99%

Section: Ground Truth Datamentioning

confidence: 99%

Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors’ COVID-19 Press Briefings

Marshall¹,

Fj²,

Parameswaran³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The success of this method within a closely related discipline suggests that similar results would be likely in organizational science; however, HMA is rarely seen outside of isolated studies or niche research areas. Leadership research has acted as a trailblazer for HMA in organizational science, led by the efforts of Mumford (e.g., Mumford, 2002; Mumford et al, 2005), Yammarino (e.g., Yammarino, Mumford, Serban, & Shirreffs, 2013), and their students (e.g., Bedell, Hunter, Angie, & Vert, 2006; Hunter, Cushenbery, Thoroughgood, Johnson, & Ligon, 2011). Aligning with Simonton’s (1999) view that HMA is useful for the study of “eminent individuals,” leadership researchers have found the method applicable to a wide variety of research questions.…”

Section: Overview Of the Historiometric Methodsmentioning

confidence: 99%

“…Aligning with Simonton’s (1999) view that HMA is useful for the study of “eminent individuals,” leadership researchers have found the method applicable to a wide variety of research questions. For example, HMA has been applied to studies of destructive leader behavior (O’Connor, Mumford, Clifton, Gessner, & Connelly, 1995), leader assassination (Yammarino et al, 2013), team leadership through crises (DeChurch et al, 2011), Machiavellianism (Bedell et al, 2006), and tests of emerging leadership theories (Hunter et al, 2011).…”

Section: Overview Of the Historiometric Methodsmentioning

confidence: 99%

Historiometry in Organizational Science

Crayne

Hunter

2017

Organizational Research Methods

View full text Add to dashboard Cite

Historiometric analysis (HMA), an organized set of content analytic techniques, allows researchers to convert historical information into numeric data that are appropriate for complex statistical analyses and modeling. The HMA method has been present in the social sciences for more than a century, yet is largely absent from the management and organizational sciences literatures. In this article, we make the case for increased attention to HMA in organizational research, and describe research scenarios for which the techniques prescribed by HMA are particularly well-suited. We also provide a comprehensive guide for conducting historiometric analysis including practical guidelines, procedural instructions, and analysis of potential obstacles to the research process.

show abstract

“…As such, contemporary historiometrics is a cousin of psychometric testing and Murray's 'Bell Curve' theory. It is therefore interesting to note that, in its 25-year existence, Leadership Quarterly has published 20 historiometric studies (Parry et al, 2014), including a recent paper, based on biographical data, on the likelihood of certain types of leaders being assassinated (Yammarino et al, 2013). This is in contrast to no published studies at all based on historical methods.…”

Section: Historical Approaches To Leadership Studiesmentioning

confidence: 99%

Women leaders in the political field in Scotland: A socio-historical approach to the emergence of leaders

Robinson

Kerr

2017

Leadership

View full text Add to dashboard Cite

Drawing on a contextualised case, we present a specific approach to leadership studies that brings together history, sociology and politics. We start with the following event. In August 2015, the election of Kezia Dugdale as leader of the Labour Party meant that, for the first time the leaders of the three main political parties in the Scottish Parliament were women. We approach the study of this significant leadership event, first, through a critique of aspects of leadership studies as a field. We next consider the potential for socio-historical approaches in understanding this event. Then, as a contextualised example of this alternative approach to studying leadership, we apply Bourdieu's theoretical concepts-in particular the political field-in order to historicise the conditions of possibility of this event. Finally, we consider issues of power and gender in relation to how the leaders position themselves in relation to their parties and to each other within the political field. In so doing, we contribute to critical leadership studies by developing and demonstrating a socio-historical approach that can help us to identify processes of organisation and change in relation to the emergence of leaders.

show abstract

Assassination and leadership: Traditional approaches and historiometric methods

Cited by 20 publications

References 29 publications

Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors’ COVID-19 Press Briefings

Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors’ COVID-19 Press Briefings

Historiometry in Organizational Science

Women leaders in the political field in Scotland: A socio-historical approach to the emergence of leaders

Contact Info

Product

Resources

About