2009
DOI: 10.5070/sd933003305
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How to Deal with Missing Data and Galton’s Problem in Cross-Cultural Survey Research: A Primer for R

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Cited by 5 publications
(4 citation statements)
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“…Consequently, biased results will be generated using either approach. Dow and Eff (2009) note that for the SCCS and other cross-cultural data sets, there will almost certainly be auxiliary variables available, in addition to the variables in a statistical model, that are correlated with the observed/not observed values of a binary indicator variable corresponding to any variable to be imputed, as is true for the present study. Since correlated (not necessarily causal) variables can be used as predictors of missing cases, both listwise and pairwise deletion will seldom be appropriate for cross-cultural survey research.…”
Section: Multiple Imputation Of Missing Datamentioning
confidence: 90%
See 2 more Smart Citations
“…Consequently, biased results will be generated using either approach. Dow and Eff (2009) note that for the SCCS and other cross-cultural data sets, there will almost certainly be auxiliary variables available, in addition to the variables in a statistical model, that are correlated with the observed/not observed values of a binary indicator variable corresponding to any variable to be imputed, as is true for the present study. Since correlated (not necessarily causal) variables can be used as predictors of missing cases, both listwise and pairwise deletion will seldom be appropriate for cross-cultural survey research.…”
Section: Multiple Imputation Of Missing Datamentioning
confidence: 90%
“…These estimates were then combined to yield the final estimates using the rules described in Rubin (1987). Detailed discussion of these rules and empirical examples using cross-cultural data are given in Dow and Eff (2009a; 2009b) and Eff and Dow (2009) 3…”
Section: Methodsmentioning
confidence: 99%
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“…A limitation with cross-cultural studies like ours is Galton’s problem: countries with shared cultural histories will not be fully independent in terms of other measures [127129]. Whereas language phylogenies have often been used as a proxy for cultural proximity [128,129], this approach would not be appropriate for our framework because our units of cultural groups are ethnic groups, which often have different languages and other cultural attributes.…”
Section: Empirical Analysismentioning
confidence: 99%