On the similarity between exchangeable profiles: A psychometric model, analytic strategy, and empirical illustration

Furr, R. Michael; Wood, Dustin

doi:10.1016/j.jrp.2013.01.009

Cited by 17 publications

(28 citation statements)

References 45 publications

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“…There is an emerging recognition that examining all coefficients in the same analysis can reveal interesting effects (Bleidorn et al, 2012; Borkenau & Zaltauskas, 2009; Furr et al, 2007, 2007; Furr & Funder, 2004; Furr & Wood, 2013; Leary & Allen, 2011; Locke, Zheng, & Smith, 2014). For instance, Biesanz and Human (2010) found that experimentally manipulating motivation among judges to attain accurate perceptions of targets was not associated with increased judgment agreement as indexed by an overall profile correlation.…”

Section: Discussionmentioning

confidence: 99%

The Correlates of Similarity Estimates Are Often Misleadingly Positive

Wood

Furr

2015

Pers Soc Psychol Rev

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137

215

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Research on similarity constructs (e.g., dyadic similarity, personality stability; judgment agreement and accuracy) frequently find them to be associated with positive outcomes. However, a methodological pitfall associated with common ‘overall similarity’ indices, which we term the normative-desirability confound (NDC), will regularly result in similarity constructs apparently having more positive effects than they do in reality. In essence, when an individual is estimated to be similar to another person by common indices, this will strongly indicate that the individual has desirable characteristics. Consequently, the correlates of overall similarity indices can often be interpreted as indicating the beneficial effects of having desirable characteristics, without needing to attribute any additional salutary effect to similarity. We show that this confound is present in overall similarity estimates for a wide range of constructs (e.g., personality traits, attitudes, emotions, behaviors, values), how it can be accounted for, and discuss larger implications for our understanding of similarity constructs.

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Section: Discussionmentioning

confidence: 99%

The Correlates of Similarity Estimates Are Often Misleadingly Positive

Wood

Furr

2015

Pers Soc Psychol Rev

Self Cite

137

215

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“…Analyses were conducted via AMOS 19. Model 6 in Table 3 of the online supplemental document accompanying Furr and Wood (2013) provides AMOS syntax that was subsequently adapted for the current analyses.…”

Section: Discussionmentioning

confidence: 99%

Agreement on the Perception of Moral Character

Helzer

Furr

Hawkins

et al. 2014

Pers Soc Psychol Bull

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This study tested for inter-judge agreement on moral character. A sample of students and community members rated their own moral character using a measure that tapped six moral character traits. Friends, family members, and/or acquaintances rated these targets on the same traits. Self/other and inter-informant agreement was found at the trait level for both a general character factor and for residual variance explained by individual moral character traits, as well as the individual level (judges agreed on targets' "moral character profiles"). Observed inter-judge agreement constitutes evidence for the existence of moral character, and raises questions about the nature of moral character traits.

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“…Similarity indices are applied in ecology, for example, to assess similarity between ecological communities in terms of their species composition (e.g., Hastings et al 2012), in genetics to characterize similarity between gene profiles (e.g., Deshpande et al 2013), and in psychology to measure similarity between personality profiles (e.g., Furr and Wood 2013). In some cases, the presence or absence of common features is of interest, while in others, the degree of commonality is important and can be assessed by various measures of distance.…”

Section: Similarity Index Methodsmentioning

confidence: 99%

Using vulnerability indicators to develop resilience networks: a similarity approach

et al. 2015

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This paper proposes a new approach to developing and utilizing vulnerability indicators, which is based on the concept of similarity. Methods for assessing the disaster vulnerability of communities through quantitative indices are established in research and practice. They are typically used to identify which cities or other spatial units are most susceptible to losses from storms, floods, and other hazards; however, their utility for taking action to reduce vulnerability has been found to be limited. In contrast, the method developed here quantifies vulnerability profiles for purposes of identifying places that are similarly vulnerable. Such an approach can facilitate sharing of knowledge, resources, and successful practices that are relevant to a particular community's circumstances. The approach is demonstrated in a preliminary application to coastal communities in British Columbia, Canada.

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On the similarity between exchangeable profiles: A psychometric model, analytic strategy, and empirical illustration

Cited by 17 publications

References 45 publications

The Correlates of Similarity Estimates Are Often Misleadingly Positive

The Correlates of Similarity Estimates Are Often Misleadingly Positive

Agreement on the Perception of Moral Character

Using vulnerability indicators to develop resilience networks: a similarity approach

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