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Applying latent growth models to the analysis of media effects


Schemer, C; Matthes, J; Wirth, W (2009). Applying latent growth models to the analysis of media effects. Journal of Media Psychology, 21(2):85-89.

Abstract

The present article demonstrates the use of random-effects models, e.g. latent growth models (LGM), for the estimation of media effects on attitudes in longitudinal designs. On the basis of data from a three-wave panel study on the asylum law campaign in Switzerland, we show that the attitude change process can be modeled more appropriately relying on LGM compared to conventional procedures. As a consequence, applying LGM revealed moderate effects of media use on political attitudes toward the asylum law in the course of the campaign. More importantly, we demonstrate that LGM is likely to unmask media effects that were not obtained with conventional autoregressive fixed-effects models (ARM).

Abstract

The present article demonstrates the use of random-effects models, e.g. latent growth models (LGM), for the estimation of media effects on attitudes in longitudinal designs. On the basis of data from a three-wave panel study on the asylum law campaign in Switzerland, we show that the attitude change process can be modeled more appropriately relying on LGM compared to conventional procedures. As a consequence, applying LGM revealed moderate effects of media use on political attitudes toward the asylum law in the course of the campaign. More importantly, we demonstrate that LGM is likely to unmask media effects that were not obtained with conventional autoregressive fixed-effects models (ARM).

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Mass Communication and Media Research
Dewey Decimal Classification:700 Arts
Language:English
Date:2009
Deposited On:23 Sep 2009 16:15
Last Modified:06 Dec 2017 20:25
Publisher:Hogrefe Verlag
ISSN:1864-1105
Publisher DOI:https://doi.org/10.1027/1864-1105.21.2.85

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