Model Specification in Media Effects Research.
Model Specification in Media Effects Research.
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媒体效果研究中的模型规范。
DOI:
10.1007/s10508-023-02714-3
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发表时间:
2023
影响因子:
3.8
通讯作者:
Herbenick,Debby
中科院分区:
文献类型:
--
作者:
Wright,PaulJ;Tokunaga,RobertS;Herbenick,Debby
In a recent Letter-to-the-Editor (Wright, 2021), I broached the possibility that sexual media effects researchers have overemphasized the conceptualization of third-variables as “potential confounds” in observational (ie, correlational) studies. From the confounding perspective, links between exposure to sexual media and sexual outcomes are spurious and caused by one or more third-variables (ie, confounds)(Baer et al., 2015; Wright, 2020a). I noted similar recent suggestions from other media effects scholars (Bushman & Anderson, 2023; Slater, 2015) and pointed to parallel refrains from social and behavioral scientists in other disciplines (Becker, 2005; Bernerth & Aguinis, 2016; Carlson & Wu, 2012; Meehl, 1971; Schisterman et al., 2009; Spector & Brannick, 2011). More recently, as illustration, we showed in a study of US adults’ erroneous sexual beliefs that the data were more consistent with a model wherein demographic variables (eg, marital status, age, race, education) were envisioned as predictors of perceived pornography realism (which in turn predicted erroneous sexual beliefs) than the conventional approach wherein audience demographics were treated as confounds of the association between perceived pornography realism and erroneous sexual beliefs (Wright et al., 2022a, 2022b; see also Wright & Tokunaga, 2023). In the discussion of these findings, we encouraged subsequent research efforts probing whether other ostensible third-variable confounds might fit the data better in alternative capacities.