Abstract
We have already seen in Part 1 of this guide how to examine two-way classifications in contingency tables via the chi-square statistic. As further variables are added to cross-classification tables, the number of cells rapidly increases and it is difficult to unravel the associations between the variables by examining only the cell entries. Although the traditional chi-square approach often provides an insight about the relationships among variables, it:
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Confuses the relationship between a pair of categorical variables with the relationship when other variables are present,
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Does not allow for the simultaneous examination of these pairwise relationships and
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Ignores the possibility of three-variable and higher-order interactions among the variables.
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Aljandali, A. (2017). Hierchical Log-linear Analysis. In: Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Statistics and Econometrics for Finance. Springer, Cham. https://doi.org/10.1007/978-3-319-56481-4_8
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DOI: https://doi.org/10.1007/978-3-319-56481-4_8
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