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What is Cross-Temporal Meta-Analysis

Handbook of Research on Technoself: Identity in a Technological Society
A cross-temporal meta-analysis (CTMA) is a research method popularized by social psychologist Jean Twenge in which researchers track scores on standardized psychological tests over a period of time (usually several decades). In order to be effective, scores must be taken from widely used and highly valid measures, from similar populations across all time periods (e.g. college students), and from both published and unpublished sources. CTMAs can examine cohort effects because they compare similar-aged people at one time point (e.g. 1980) to similar-aged people at another time point (e.g. 2010).
Published in Chapter:
The Empathy Paradox: Increasing Disconnection in the Age of Increasing Connection
Sara Konrath (University of Michigan, USA & University of Rochester Medical Center, USA)
DOI: 10.4018/978-1-4666-2211-1.ch012
Abstract
The purpose of this chapter is to summarize changes in personality traits that have co-occurred with the rise of new social media, and to evaluate the plausibility of the hypothesis that new social media are a partial explanation for these dramatic changes. Studies have found a rise in social disconnection among recent generations of young Americans. Self-esteem and narcissism have been rising in college students from the late 1970s to 2010, with simultaneous declines in empathy. Scholars and lay people alike blame the rise of the internet, and in particular, self-oriented and self-promoting “social” networking sites. This new media landscape could lead to increasing social disconnection even as it superficially increases our social connections, and several studies suggest a direct link between social media use and social disconnection. However, since most research thus far is correlational, interpretations are limited, leaving open more optimistic possibilities for new social media.
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