Correlation analysis is used to examine relationships between variables, in particular the analysis of “the more, the more”- and “the more, the less”-correlations. MAXQDA Stats supports the calculation of bivariate correlations, thus the correlation between two variables.

In order to calculate a correlation with MAXQDA Stats, select one of the following items in the main menu:

  • Correlation > Pearson, usually used for interval scale variables or
  • Correlation > Spearman, usually used for ordinal scale variables

A dialog box appears that allows you to select each variable for which you wish to calculate bivariate correlations.

Hint: All variables of the type float and integer are throughout available, regardless of the   level of measurement of single variables.
Dialog box for selecting variables to calculate correlation (pictured here: Pearson’s r)

Variables can be selected in several ways:

  • Double-click on a variable.
  • Drag and drop the variable into the right window pane.
  • Select one or multiple variables with the mouse by holding the Ctrl/Cmd key then dragging the selection into the right window pane with the mouse, or click the blue arrow in the middle of the window.

To integrate code frequencies per document into the computation of correlations, switch to the “Codes” tab and select the desired codes. (This option is available only if MAXQDA Stats was launched with the data of a MAXQDA project).

Results table

After clicking OK a results table appears containing the pairwise correlations. Since all selected variables are listed in rows and in columns all the calculated correlations are displayed twice.

Results table with pairwise correlations (here: Pearson’s r)

Each row contains three kinds of data:

  • The calculated correlation coefficient, either Pearson’s r or Spearman’s Rho, depending on the selected function,
  • the p-value for the correlation coefficient’s significance, as well as
  • the number of valid cases for each combination of both variables.

The picture above shows the correlation between the variables “Age” and “Life Satisfaction Index”  which is highlighted in green. In this example, Pearson’s r is 0.242, the p-value is 0.0153 (thus below the significance threshold of 5%). The number of valid values for this combination of variables adds up to 80 cases.

The one-sided p-value is displayed by default. Using the drop down menu in the toolbar it is possible to switch to two-sided p-values. The p-value is calculated if the number of cases is more than 5. If there are less cases the p-value is always 1.

Hint: If the option Exclude cases listwise is selected the number of valid and missing values is displayed only in top right in the window. The cells contain the correlation coefficient and the p-value only.

Highlighting significant correlations

In order to highlight every cell with a p-value under 5% in green click the symbol Highlight significant correlations . The smaller the p-value the darker the background colors:

  • smaller than 5%: light green
  • smaller than 1%: green
  • smaller than 0,1%: dark green

Overview of toolbar functions

In the upper section of the results window two toolbars are located, which contain the following important functions:

  Table view / Chart view – switches between the result table and scatter plots.

  Refresh – Recalls the dialog for selection of variables for the correlation table.

  Insert into output viewer – inserts the currently displayed table or chart in the Output Viewer.

  Copy to clipboard – copies the current table, highlighted area in the table, or chart in the clipboard, for example for insertion into Word.

  Print – prints the currently displayed table or chart.

  Export – exports the currently displayed table in Excel format, website (HTML) format or RTF format for Word and other word processing programs; exports the currently displayed chart in PNG, SVG or EMF (only Windows) format.

  Highlight significant correlations – switch on this option for highlighting cells with p-values lower than 5%.

  Undo changes – step-by-step resetting of changes to a table (deletion of rows).

  Redo – step-by-step restoring of changes to a table.

Sort tables and customize columns

Tables can be sorted by clicking a column header, in ascending order with the first click and descending order with the second. Clicking again will restore the original order.

Tip: You can also move the rows of the results table. Click a row, then drag and drop with the mouse to the desired location. This function is also available for multiple highlighted rows. Lines containing totals or missing values cannot be moved.

Column widths can be adjusted with the mouse, and their position can be changed by clicking the column header then dragging them to the desired location with the mouse.

Delete rows and columns

The results table is interactive and one or more rows can be removed. Right-click a row and select Delete. You can also select multiple rows to delete by holding down the Ctrl/cmd key. Right-click a column heading and select Delete to remove it from the results table.

Deleting a column or row in a correlation table only affects the display. The values are not recalculated even if selecting the option Delete cases listwise would change the number of valid values for variables taken into account.

Tip: A column can be hidden from the table by right-clicking within the column header and selecting Hide column. When the function is called up the next time, the column will be automatically displayed again.

Transfer results table to the Output Viewer

After the tables have been created, they can be transferred to the Output Viewer from which they can later be exported together:

  • Click the Insert into output viewer  icon to transfer the currently displayed results table to the Output Viewer.
  • Click the Insert all result tables into output viewer  icon to transfer all created tables to the Output Viewer at once.

MAXQDA Stats will ask if you also wish to include a descriptive statistic for the factor groups. If you agree, an additional table will be displayed below the results table.

Tip: When the table is transferred, the adjusted column widths will be maintained.
Results table for correlations following transfer to the Output Viewer

Export and print results table

Several options for exporting and printing the results table are available using the following symbols:

  Copy to clipboard – copies the entire table or selection to the clipboard, for example in order to paste it directly into Word.

  Print – starts the print process and displays a print preview, in which the settings such as margins, orientation, headers and footers can be applied.

  Export – exports the table in Excel format, website (HTML) format or RTF format for Word and other word processing programs.

Displaying scatter plots

In order to display a scatter plot for every pairwise combination of variables click on the  Chart view symbol in the results table.

Scatter plot for two variables

Using the two drop down menus in the top toolbar you can determine the variables for the X-axis and the Y-axis. The drop down menus contain all the variables that are selected for the calculation of correlation.

Determine variables for the X-axis and Y-axis

It is not possible to customize the display of the chart. The chart’s size automatically adjusts to the window size. Enlarge the window in order to display a larger chart.

Scatter plots can be transferred to the Output Viewer for later export. In order to do so, use the following icons.

  Insert chart into output viewer, to insert only the current display

  Insert all charts into output viewer, to insert mean charts for all created result tables at the same time.

Hint: Charts will be inserted into the Output Viewer in the size that they are displayed, to a maximum width of 650 pixels.

To export or print a chart directly, you can use the usual icons in the top right of the window:

  Copy to clipboard,   Print and   Export.


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