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Abstract This study tests the hypothesis that attitudes people consider to be personally important are more stable over relatively long periods than are attitudes people consider unimportant. Latent variable structural equation models are applied to political attitude data collected during the 1980 and 1984 American presidential election campaigns. These analyses support the claim that important attitudes change less over time than unimportant attitudes. The lower over-time consistency of reports of unimportant attitudes was found to be due to true attitude change and not to reduced motivation to report these attitudes carefully or to greater ambiguity in internal attitudinal cues associated with them.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 190 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |