In the following example, the number of average insurable hours is used as the measure so, the average number of insurable hours for university graduates that made a claim in the last 12 months in 2012 is 1,761.1. If a variable is added as a measure, the numbers in the frequency cells will represent the selected calculation from the drop-down menu for the measured variable in that category. Clicking this option will make a drop-down menu appear above your table, where you can select which value of that variable you would like to filter by.Īdd as measure: With this option, you can add a continuous variable (e.g. Use as filter: This option allows you to display only one value of a variable at a time, such as only the male respondents for a survey.
To remove a variable from the cross-tabulation, click on the variable’s drop-down menu above the table and select “Remove from table”. If more than one variable is added to a column or row, they will appear as nested. When you click the variable, you will see the following options:Īdd to row & Add to column: Adds the variable to the horizontal rows or vertical columns for the cross-tabulation. Then, on the left menu, click the variable that you would like to add to your tabulation. Cross-TabulationĬross-tabulating is a simple way to understand the relationship between two different variables and their frequencies. To do a cross-tabulation in, click on “Tabulation” on the upper menu bar. To find out more, see Nesstar’s Exploring Data page. To add weights, select the scale icon in the upper right corner of Nesstar. You will see a reminder that the weight is on below the cross-tabulation or analysis. When creating cross-tabulations and analyses for a dataset that has multiple weight variable options, you will need to weight the data. We recommend verifying frequencies in the official codebook, which you can find under ‘Metadata’ in ‘Other Documentation’ if there is one available, in case of any discrepancies.īy default, when a data set has only one option for the weight variable, the variables are weighted when viewing frequencies under the ‘Description’ tab.
This information will appear below the frequencies. Nesstar also provides summary statistics for certain types of data, including mean, minimum, maximum, and standard deviation, that are useful for univariate statistical analysis. Weighted frequencies (NW) represent the number of responses and frequency adjusted so that the sample size more accurately reflects the general population. Unweighted frequencies (N) are the number of actual respondents. In the following example, the variable is “Legal Marital Status”, and the frequency for “Divorced” is 55,848, and represents 6.6% of the total valid responses. When viewing data in Nesstar, you can click on the variable name in the left menu in order to view the frequencies for that variable. The frequency ( f) of the value of a variable refers to the number of times the observation of that value occurs in the data. For more information about statistical software, check out our link on the left side of the page.
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You can also download the full dataset, or a subset of that data, for further analysis in a statistical software package. Once you have found survey data that you would like to further explore, you can perform a number of analyses on that data in the Nesstar repository, including frequencies, cross-tabulations, correlation, and regression.
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