Quantitative communication research: review, trends, and critique

Abstract

Trends in quantitative communication research are reviewed. A content analysis of 48 articles reporting original communication research published in 1988-1991 and 2008-2011 is reported. Survey research and self-report measurement remain common approaches to research. Null hypothesis significance testing remains the dominant approach to statistical analysis. Reporting the shapes of distributions, estimates of statistical power, and confidence intervals remain uncommon. Trends over time include the increased popularity of health communication and computer mediated communication as topics of research, and increased attention to mediator and moderator variables. The implications of these practices for scientific progress are critically discussed, and suggestions for the future are provided.