Method Bias in Comparative Research: Problems of Construct Validity as Exemplified by the Measurement of Ethnic Diversity

Neumann, Robert; Graeff, Peter

doi:10.1080/0022250x.2011.597014

Cited by 6 publications

(8 citation statements)

References 71 publications

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“…The cultural diversity literature uses the fractionalisation index in measuring the impact of diversity on economic outcomes. Ethno-linguistic fractionalisation (ELF) is defined as the "probability that two randomly chosen citizens in a country belong to a different ethnic group where(in) group belonging is attributed by language" (Neumann and Graeff 2013). Vigdor (2008) uses a slightly different approach, the probability that a randomly selected individual is an immigrant, to estimate an assimilation index in the USA.…”

Section: Diversity Indexmentioning

confidence: 99%

The regional impact of cultural diversity on wages: evidence from Australia

Elias

Paradies

2016

IZA J Migration

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This paper investigates the impact of cultural diversity on labour market outcomes, particularly on wages across regions using a large longitudinal data. We apply an instrumental variable approach and account for individual and time fixed effects. Our findings indicate that the current level of cultural diversity positively affected current regional weekly wages; however, the positive effect holds only partially when the diversity is lagged. The results appear to be robust in all estimations controlling for heterogeneity factors and accounting for the self-selection of individuals into places with better economic opportunities. Our findings concerning the effect of lagging on the effect of diversity may explain the variation in the literature where some studies report that cultural diversity increases wages across time while others do not.

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Section: Diversity Indexmentioning

confidence: 99%

The regional impact of cultural diversity on wages: evidence from Australia

Elias

Paradies

2016

IZA J Migration

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“…As we have shown, any study using measures constructed from SD reports, such as the important CIRI and PTS indicators, is susceptible to bias reflecting US geo-political concerns, especially the further back in time one goes. To reiterate, if the data used in the construction of a measure are biased, the measure itself will be biased (Neumann and Graeff, 2013). This is substantively important because the most widely used indexes in the quantitative study of human rights -CIRI and PTS -use those reports.…”

Section: Resultsmentioning

confidence: 97%

“…If SD reports are biased, and that bias is systematically related to covariates used to explain human rights behaviour, the analyses could report results over-or under-estimating their true effect. It may also affect the reported signs or significance levels, inferences drawn, or even whether a manuscript is seen as publishable (Esaray and Danneman, 2014;Neumann and Graeff, 2013).…”

Section: Differences In State and Amnesty Pts Scoresmentioning

confidence: 90%

“…These qualitative differences in the reports, moreover, may manifest themselves in different quantitative human rights scores when using an objective, pre-established coding scheme, such as those employed by PTS (see Neumann and Graeff, 2013). To demonstrate these differences, we focus on Chile by (i) looking at the AI and SD series of scores, and (ii) examining the content of the reports in 1980.…”

Section: Strategic Interests As a Source Of Systematic Biasmentioning

confidence: 96%

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the construction of human rights: accounting for systematic bias in common human rights measures

Nieman

Ring

2015

Eur Polit Sci

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Empirical human rights researchers frequently rely on indexes of physical integrity rights created by the Cingranelli-Richards (CIRI) or the Political Terror Scale (PTS) data projects. Any systematic bias contained within a component used to create CIRI and PTS carries over to the final index. We investigate potential bias in these indexes by comparing differences between PTS scores constructed from different sources, the United States State Department (SD) and Amnesty International (AI). In order to establish best practices, we offer two solutions for addressing bias. First, we recommend excluding data before 1980. The data prior to 1980 are truncated because the SD only created reports for current and potential foreign aid recipients. Including these data with the more systematically included post-1980 data is a key source of bias. Our second solution employs a two-stage instrumented variable technique to estimate and then correct for SD bias. We demonstrate how following these best practices can affect results and inferences drawn from quantitative work by replicating a study of interstate conflict and repression.

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“…Während die aktiven Merkmale den Projektionsraum aufspannen und damit seine Struktur festlegen, werden die passiven nachträglich hineinprojiziert, sie haben keinen Einfluss auf die geometrische Ausrichtung der Achsen, die Interpretation erfolgt aber dennoch gemeinsam. Multikollinearitätsprobleme (Neumann und Graeff 2013), die bei der regressionsanalytischen Auswertung von Makrodaten oft vorkommen, gibt es bei der MFA nicht.…”

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The global field of power as “Tertium Comparationis”

Schmitz

Heiberger

Blasius

2015

Österreich Z Soziol

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Zusammenfassung Wir schlagen eine feldtheoretische Erweiterung der HabitusFeldtheorie auf die Ebene der Weltgesellschaft vor. Zu diesem Zweck analysieren wir einen integrierten Datensatz auf Länderebene (n = 181 Staaten) aus verschiedenen Feldern mit Hilfe einer multiplen Faktorenanalyse. Wir zeigen, dass das globale Feld der Macht über zwei Dimensionen beschrieben werden kann: Meta-Kapital und interne Funktionalität. Insbesondere die Dimension der internen Funktionalität von Staaten kann dabei einen wertvollen analytischen Bezugsrahmen für die vergleichende (Umfrage-)Forschung liefern.Abstract We propose a field-theoretical elaboration of the habitus-field-theory towards the level of the 'world-society'. For this purpose we analyze an integrated data set from different social fields on country level (n = 181 countries) applying multiple factor analysis. We demonstrate that the global field of power can be described by two dimensions: meta-capital and internal functionality. Especially internal functionality can provide a valuable analytical frame of reference for comparative (survey) research.

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Method Bias in Comparative Research: Problems of Construct Validity as Exemplified by the Measurement of Ethnic Diversity

Cited by 6 publications

References 71 publications

The regional impact of cultural diversity on wages: evidence from Australia

The regional impact of cultural diversity on wages: evidence from Australia

the construction of human rights: accounting for systematic bias in common human rights measures

The global field of power as “Tertium Comparationis”

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