XLSTAT will produce one result for each possible pair of row/column variables. Tutorial on how to create and interpret a contingency table A tutorial which explains how to configure the XLSTAT dialog box in order to generate a cross-tab based on two qualitative variables is available. ...
Transforms a (possibly weighted) contingency table into percentagesNicolas Robette
With contingency table tests, the expected frequencies are calculated in the background based on the multiplication rule of probability. The idea is to use the row and column (marginal) totals to calculate the expected counts if there is no association between the variables. If the observed ...
If your data have entire rows or columns missing because they were never reported by the raters, you must add a row or column of zeros to make the table square (see Example 6). The results of this section are based on Fleiss, Levin, and Paik (2003). The kappa procedure also outputs...
Answer to: When is chi-squared not valid? Give an example of a contingency table for which the chi-squared test of independence should not be used...
3D view of the contingency table: Activate this option to display the 3D bar chart corresponding to the contingency table. 2D Bar Charts: Chart type Grouped: Choose this option to display the graphs as bars grouped by modality. Stacked bars: Choose this option to display the chart as stacked...
There are other percentages provided in the report, however, that make it possible to create a two-way table with data on males’ correctness in judging their female partners’ behaviours, as well as a two- way table with data on females’ correctness in judging their male partners’ behaviou...
Table 1. Definitions of power grid resilience-related concepts. Resilience The ability to withstand high impact-low probability events, rapidly recovering and improving operations and structures to mitigate the impact of similar events in the future. [54], [57] Reliability The probability of satisfact...
Note that the table below is set up so that the risk factor (HIAGE) is the row variable and the outcome of interest (HICHOL) is the column variable. Note that for HIAGE: 1=the risk of interest (High Age) and 2= the low risk category (Low Age). For HICHOL: 1=the event of ...
Chi-square tests compare the observed (O) and expected (E) frequencies of the subjects. With contingency table tests, the expected frequencies are calculatedin the backgroundbased on the multiplication rule of probability. The idea is to use the row and column (marginal) totals to calculate the...