Evidence map›Paper›PMID 38412193›Full record

ArticlePloS one2024

Why are some countries rich and others poor? development and validation of the attributions for Cross-Country Inequality Scale (ACIS).

Michela Vezzoli, Roberta Rosa Valtorta, Attila Gáspár, Carmen Cervone, Federica Durante, Anne Maass, Caterina Suitner

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Michela VezzoliDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0003-2122-2764
Roberta Rosa ValtortaDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0003-0565-5463
Attila GáspárDepartment of Developmental Psychology and Socialisation, University of Padua, Padua, Italy.ORCID 0000-0001-7247-6997
Carmen CervoneDepartment of Developmental Psychology and Socialisation, University of Padua, Padua, Italy.ORCID 0000-0003-0057-0356
Federica DuranteDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Anne MaassPsychology Program, Division of Science, NYU Abu Dhabi, Abu Dhabi, United Arab Emirates.
Caterina SuitnerDepartment of Developmental Psychology and Socialisation, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding lay theories on the causes of economic inequality is the first step to comprehending why people tolerate, justify, or react against it. Accordingly, this paper aims to develop and validate with two cross-sectional studies the Attributions for Cross-Country Inequality Scale (ACIS), which assesses how people explain cross-country economic inequality-namely, the uneven distribution of income and wealth between poor and rich countries. After selecting and adapting items from existing scales of attributions for poverty and wealth, in Study 1, we tested the factorial structure of this initial pool of items in three countries with different levels of economic development and inequality, namely, Italy (n = 246), the UK (n = 248), and South Africa (n = 228). Three causal dimensions emerged from the Exploratory Factor Analysis: "rich countries" (blaming the systematic advantage of and exploitation by rich countries), "poor countries" (blaming the dispositional inadequacy and faults of poor countries), and "fate" (blaming destiny and luck). The retained items were administered in Study 2 to three new samples from Italy (n = 239), the UK (n = 249), and South Africa (n = 248). Confirmatory Factor Analysis (CFA) corroborated the factorial structure of the ACIS, and Multi-Group CFA supported configural and metric invariances of the scale across countries. In addition, we show internal consistency and construct validity of the scale: the scale correlates with relevant constructs (e.g., beliefs about cross-country inequality and ideological orientation) and attitudes toward relevant policies related to international redistribution and migration. Overall, the scale is a valid instrument to assess causal attribution for cross-national inequality and is reliable across countries. By focusing on resource distribution from an international perspective, this scale will allow researchers to broaden the discussion on economic inequality to a global level.

Indexed as

IncomePovertyCross-Sectional StudiesHumansPolicySocioeconomic FactorsSouth Africa

Identifiers

PMID38412193
PMCPMC10898736

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.