Matrix pspp syntax11/6/2023 ![]() The same is true if you have one column variable and two or more row variables, or if you have multiple row and column variables.Ĭ Layer: An optional "stratification" variable. You must enter at least one Column variable.Īlso note that if you specify one row variable and two or more column variables, SPSS will print crosstabs for each pairing of the row variable with the column variables. ![]() You must enter at least one Row variable.ī Column(s): One or more variables to use in the columns of the crosstab(s). To create a crosstab, click Analyze > Descriptive Statistics > Crosstabs.Ī Row(s): One or more variables to use in the rows of the crosstab(s). Notice that when total percentages are computed, the denominators for all of the computations are equal to the total number of observations in the table, i.e. This implies that the percentages in the "column totals" row must equal 100%. Notice that when computing column percentages, the denominators for cells a, b, c, d are determined by the column sums (here, a + c and b + d). This implies that the percentages in the "row totals" column must equal 100%.įormulas for computing column percentages Notice that when computing row percentages, the denominators for cells a, b, c, d are determined by the row sums (here, a + b and c + d). This can be achieved by computing the row percentages or column percentages. When you are describing the composition of your sample, it is often useful to refer to the proportion of the row or column that fell within a particular category. Note that if you were to make frequency tables for your row variable and your column variable, the frequency table should match the values for the row totals and column totals, respectively. The row sums and column sums are sometimes referred to as marginal frequencies. Total sum (i.e., total number of observations in the table): n = a + b + c + d.Column sum of column 2 (i.e., total number of observations in Column 2): b + d.Column sum of column 1 (i.e., total number of observations in Column 1): a + c.Row sum of row 2 (i.e., total number of observations in Row 2): c + d.Row sum of row 1 (i.e., total number of observations in Row 1): a + b.d is the number of observations corresponding to Row 2 AND Column 2.īy adding a, b, c, and d, we can determine the total number of observations in each category, and in the table overall.c is the number of observations corresponding to Row 2 AND Column 1.b is the number of observations corresponding to Row 1 AND Column 2. ![]() a is the number of observations corresponding to Row 1 AND Column 1.The letters a, b, c, and d represent what are called cell counts. Column variable: Smoking (3 categories: never smoked, past smoker, current smoker)Ī typical 2 x2 crosstab has the following construction:.Column variable: Gender (2 categories: male, female).Row variable: Class Rank (4 categories: freshman, sophomore, junior, senior). ![]()
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