The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1

The single factor fallacy occurs when social scientists model their applied work largely around a single factor. The problem generally arises when either a highly relevant theory is ignored or when missing key variables distort the results. Examples of this fallacy are drawn from the expanding res...

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Main Authors: Pettigrew, T, Hewstone, M
Format: Journal article
Published: Wiley 2017
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author Pettigrew, T
Hewstone, M
author_facet Pettigrew, T
Hewstone, M
author_sort Pettigrew, T
collection OXFORD
description The single factor fallacy occurs when social scientists model their applied work largely around a single factor. The problem generally arises when either a highly relevant theory is ignored or when missing key variables distort the results. Examples of this fallacy are drawn from the expanding research literature on intergroup contact, where we discuss the implications of missing critical variables from the analysis (including segregation, effects of negative as well as positive contact, extended contact, and contact when the outgroup is in the majority). The policy issues involved include racially desegregated schools, minority protest, the impact of neighborhood diversity, and anti-immigration voting. Three suggestions for avoiding the fallacy are emphasized – the use of mediation-moderation analysis, longitudinal research and multilevel analysis. We end by outlining five simple principles, based on our own experience in the U.S. and the U.K., that may increase the impact of social scientists’ research on public policy.
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spelling oxford-uuid:7fe6edb8-264f-4ced-8774-9dc2256cfa4b2022-03-26T21:19:54ZThe single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7fe6edb8-264f-4ced-8774-9dc2256cfa4bSymplectic Elements at OxfordWiley2017Pettigrew, THewstone, MThe single factor fallacy occurs when social scientists model their applied work largely around a single factor. The problem generally arises when either a highly relevant theory is ignored or when missing key variables distort the results. Examples of this fallacy are drawn from the expanding research literature on intergroup contact, where we discuss the implications of missing critical variables from the analysis (including segregation, effects of negative as well as positive contact, extended contact, and contact when the outgroup is in the majority). The policy issues involved include racially desegregated schools, minority protest, the impact of neighborhood diversity, and anti-immigration voting. Three suggestions for avoiding the fallacy are emphasized – the use of mediation-moderation analysis, longitudinal research and multilevel analysis. We end by outlining five simple principles, based on our own experience in the U.S. and the U.K., that may increase the impact of social scientists’ research on public policy.
spellingShingle Pettigrew, T
Hewstone, M
The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1
title The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1
title_full The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1
title_fullStr The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1
title_full_unstemmed The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1
title_short The single factor fallacy: Implications of missing critical variables from an analysis of intergroup contact theory 1
title_sort single factor fallacy implications of missing critical variables from an analysis of intergroup contact theory 1
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