The Political Voices of Generation Z by Laurie L Rice & Kenneth W Moffett
Author:Laurie L Rice & Kenneth W Moffett [Rice, Laurie L & Moffett, Kenneth W]
Language: eng
Format: epub
Tags: Media & Internet, Campaigns & Elections, Civics & Citizenship, Political Science, Political Process
ISBN: 9781000450347
Google: yVdBEAAAQBAJ
Publisher: Routledge
Published: 2021-09-27T12:28:55+00:00
Notes
For a sampling of Bible verses on this topic, see: https://sojo.net/22-bible-verses- welcoming-immigrants.
These generations have similar views on social issues (Parker, Graf, and Igielnik 2019).
We constrained the eligibility of participants in this survey to those whose location is in the United States and whose HIT approval rates are at least 95%. While we could not constrain by age here, we did so through the first question asking respondents whether they were between the ages of 18 and 25. If they responded no, then the survey ended.
These were the only questions in the survey about peer civic experiences. Some participants responded that they did not know for one or more of these questions. When constructing our index, we coded values for these variables as missing. Consequently, no peer civic engagement score is present for those who answered âdonât knowâ on a minimum of one of these questions.
This also acts as an indirect indicator with respect to mobilization, as people frequently act politically when others around them do so (see e.g., Gimpel, Lee, and Kamiski 2006). Yet, it is possible that mobilization efforts by those other than peers, like interest groups and political parties, also yield higher levels of participation (Rosenstone and Hansen 2002). There are no questions in this survey that allow us to directly account for the effects of mobilization on civic activity. That said, we do consider many other covariates that also affect mobilization as part of the matching routines in this analysis.
We employed an adapted version of this variable for the models in which the treatment variable is posting about immigration and family separation, as we cannot have the treatment variable being essentially the same as an element of one of the matching covariates. More specifically, we removed posting about politics on social media from the online civic engagement index for this set of models because the treatment for the set of models examining the effects of posting about gun control is the extent to which one posted about this issue. We retained the remaining variables that comprise the online civic engagement index and created an additive index based on those (α = .81).
We asked an initial screening question that identified those who were between the ages of 18 and 25, and those who responded that they were not were excluded from the survey. When we performed the age computations based on the month and year that respondents identified, though, there were 49 respondents who reported that they were older than 25. In the month-year calculation, there was typically about a six-month variance between the reported and actual age among those 49 respondents. Since we asked about both month and year of birth based on drop-down menus, it is possible that a significant portion of these respondents misreported their month and/or year of birth (see Gendall and Healey 2008). There is no reason to believe that this error is systematic. Accordingly, nonsystematic measurement error in an independent variable does not bias any conclusions in research studies (see King, Keohane, and Verba 1994).
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