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R. Lance Holbert
Researcher at Temple University
Publications - 84
Citations - 5905
R. Lance Holbert is an academic researcher from Temple University. The author has contributed to research in topics: Politics & Political communication. The author has an hindex of 38, co-authored 81 publications receiving 5300 citations. Previous affiliations of R. Lance Holbert include RMIT University & University of Missouri.
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"Connecting" and "Disconnecting" With Civic Life: Patterns of Internet Use and the Production of Social Capital
TL;DR: The authors explored the relationship between Internet use and individual-level production of social capital and found that informational uses of the Internet are positively related to individual differences in the production of Social capital, whereas social-recreational uses are negatively related to these civic indicators.
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Structural Equation Modeling in the Communication Sciences, 1995–2000
TL;DR: This study summarizes the use of this technique from 1995–2000 in 37 communication-based academic journals and identifies and critically assess 3 unique methods for testing structural relationships via SEM in terms of the specification, estimation, and evaluation of their respective structural equation models.
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A New Era of Minimal Effects? A Response to Bennett and Iyengar
TL;DR: The authors argue that existing tools, such as the Elaboration Likelihood Model (ELM), retain much utility for examining political media effects, and they challenge Bennett and Iyengar's assertion that only brand new theory can serve to help researchers understand today's political communication landscape.
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Environmental Concern, Patterns of Television Viewing, and Pro-Environmental Behaviors: Integrating Models of Media Consumption and Effects
TL;DR: The authors examined the relationship between environmental concern, five forms of television viewing, and pro-environmental behaviors and found that television news and nature documentary use are predicted by environmental concern and contribute to proenvironmental behaviours.
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The Importance of Indirect Effects in Media Effects Research: Testing for Mediation in Structural Equation Modeling
TL;DR: In this paper, the authors highlight the importance of studying specific indirect effects within a conditional effects framework and discuss how the lack of analysis of this type of effect in structural equation modeling does not fit well with the discipline's theoretical foundations.