2015
DOI: 10.1177/0149206315604188
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Archival Data in Micro-Organizational Research: A Toolkit for Moving to a Broader Set of Topics

Abstract: Compared to macro-organizational researchers, micro-organizational researchers have generally eschewed archival sources of data as a means of advancing knowledge. The goal of this paper is to discuss emerging opportunities to use archival research for the purposes of advancing and testing theory in micro-organizational research. We discuss eight specific strengths common to archival micro-organizational research and how they differ from other traditional methods. We further discuss limitations of archival rese… Show more

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Cited by 66 publications
(53 citation statements)
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References 99 publications
(99 reference statements)
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“…Most notably, it is not possible to directly observe executives' levels of narcissism and so our archival measure is only a proxy of CEO narcissism. As Barnes et al (2015) note, "Researchers should be cautious when considering [archival data], carefully evaluating whether the measures included in the database can be said to accurately represent a given construct" (p. 1466). Specifically, personality is multifactorial and the ability to accurately reflecting personality is limited when resorting to archival data.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Most notably, it is not possible to directly observe executives' levels of narcissism and so our archival measure is only a proxy of CEO narcissism. As Barnes et al (2015) note, "Researchers should be cautious when considering [archival data], carefully evaluating whether the measures included in the database can be said to accurately represent a given construct" (p. 1466). Specifically, personality is multifactorial and the ability to accurately reflecting personality is limited when resorting to archival data.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the lack of direct measurements mitigates the ability to discriminate between related but yet different personality traits such as narcissism, hubris, or overconfidence. To overcome this issue, Barnes et al (2015) point out the advantages of involving qualitative data such as content analysis into archival research. To name a sound example, Brennan and Conroy (2013) apply manual content analysis by analyzing the narrative content of the CEO letters to shareholders in order to reveal insights about the relationship between hubris and impression management.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, it contributes to reinforcement of the external validity of a quantitative analysis. Secondly, a research study based on secondary data from the Sumer survey can improve the internal validity of the findings, as it makes it possible to perform a multivariate ‘all other things being equal’ analysis (Barnes, Dang, Leavitt, Guarana, & Uhlmann, ). Consequently, this enables us to control for the effects on employees’ absenteeism of socio‐demographic factors (sex, tenure) and characteristics of the firm (size of the organization).…”
Section: Methodsmentioning
confidence: 99%
“…There are many ways to get to leadership by measuring different kinds of variables from various sources, including data that is archival-historiometric (Barnes, Dang, Leavitt, Guarana, & Uhlmann, 2016;Friedrich et al, 2014;Simonton, 2003Simonton, , 2009, neurological (Waldman, Wang, & Fenters, 2016), genetic (De Neve, Mikhaylov, Dawes, Christakis, & Fowler, 2013), hormonal (van der Meij, Schaveling, & van Vugt, 2016, facial (Todorov, Mandisodza, Goren, & Hall, 2005), economic (Zehnder, Herz, & Bonardi, in press), big data (Tonidandel, King, & Cortina, in press), or agent-based simulation data (McHugh et al, 2016). Looking at leadership from evolutionary angles would also be very useful (J. E. ; even data from insects can help explain the need for leadership (Hodgkin, Symonds, & Elgar, 2014).…”
Section: Be More Creative In Measurementmentioning
confidence: 99%