Religion Is Sometimes Raced: Christian Nationalism as In-Group Protection
Brooklyn Walker; Paul A. Djupe; Brian Calfano; Andrew R. Lewis; Anand E. Sokhey · 2025 · Perspectives on Politics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Popular narratives suggest that the effects of Christian nationalism should be more heavily concentrated among white Americans. The academic literature on Christian nationalism largely reflects this take, often asserting that it is effectively white Christian nationalism. We question such pronouncements, as they have come without systematic analysis across the broad range of issue areas needed to justify subgroup segmentations. Utilizing national oversamples of Black and Latino Christians (alongside white Christians), we assess the relationship between standard measures of Christian nationalis
Abstract by Brooklyn Walker; Paul A. Djupe; Brian Calfano; Andrew R. Lewis; Anand E. Sokhey, Perspectives on Politics (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Investigating Variation in Replicability
Negative / Null Result ReportMany Labs 2: Investigating Variation in Replicability Across Samples and Settings
Failed Experiment ReportGetting Ahead in the Communist Party: Explaining the Advancement of Central Committee Members in China
Negative / Null Result ReportReducing implicit racial preferences: II. Intervention effectiveness across time.
Negative / Null Result ReportTHE IMPACT OF IMMIGRATION ON THE STRUCTURE OF WAGES: THEORY AND EVIDENCE FROM BRITAIN
Negative / Null Result ReportRevisiting the Marshmallow Test: A Conceptual Replication Investigating Links Between Early Delay of Gratification and Later Outcomes
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1017/s1537592725102338