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Using opinion polling data to replicate non-experimental quantitative results across time and space
An exploration of attitudes surrounding school desegregation and resegregation policies
Parcel, T., Bauldry, S., Mickelson, R., Smith, S., Riel, V., & Boden, M. L. (2022). Using opinion polling data to replicate non-experimental quantitative results across time and space: An exploration of attitudes surrounding school desegregation and resegregation policies. American Behavioral Scientist, 66(6), 691-716. https://doi.org/10.1177/00027642211033285
A renewed call for replications has emerged in social science research. An important form of replication involves exploring the extent to which findings from a given study hold in other contexts. This study draws on opinion polling data to replicate key findings across time and space based on an original study in one location analyzing attitudes toward public school assignment policies. The replication finds that many of the original findings hold, though one important exception reflects the changing context. We note that the increasing availability of relatively inexpensive methods of quantitative data production facilitates replication and comment on how the temporal interval between the original study and the replication may influence the extent to which findings replicate. We argue that largely successful replications help to clarify the conditions under which findings replicate, and that sociologists are in the early stages of determining which strategies work best for replicating which findings.
