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Mixed Methods Research with NVivo 15.3

Updated

Crosstab query

Crosstab queries are a quick way to check the spread of coding across cases and demographic variables.

For example, you can use crosstab queries to:

  • Check how often interview respondents refer to a particular topic or issue

    Crosstab results showing how often respondents refer to a particular theme.

Find a full description of how to set up your crosstab query here.

In NVivo 15.3 the following mixed methods features have been added:

Cross-tabulate for Statistical Analysis

The following columns in the Crosstab tab can be used for statistical analysis:

1 Mean—Average of values. For example, for Atlantic, 3.67 is the mean value.

2 1st Quartile—25% of data below this value. For example, for Atlantic, 3 is 1st Quartile value.

3 Median—Middle value. For example, for Atlantic, 4 is Median value.

4 3rd Quartile—75% of data below this value. For example, for Atlantic, 3 is 3rd Quartile value.

5 Standard Deviation—Spread/variability of values. For example, for Atlantic, 0.58 is the Standard Deviation.

6 Standard Error—Accuracy of sample mean estimate. For example, for Atlantic, 0.33 is the Standard Error.

Principal Component Analysis Biplot Visualization

Principal Component Analysis (PCA) is helpful for reducing the dimensionality of a dataset while retaining as much variance (information) as possible. It is especially useful when you have a lot of variables that are correlated with each other.

To generate a PCA Biplot visualization, do the following:

  1. Set the crosstab query criteria.

  2. Click Run Query.

  3. Click the PCA tab on the right of the Detail View.

    You can click on the top left of the Detail View to expand the PCA Biplot visualization.

Box Plot Visualization

A Box Plot (also known as a box-and-whisker plot) is a visualization used for statistical analysis. Its main purpose is to visualize the following aspects of the data:

  • Visualize the distribution of data.
  • Identify the central tendency (median)
  • Show the variability
  • Detect outliers
  • Compare distributions

To generate a Box Plot visualization, do the following:

  1. Set the crosstab query criteria.
  2. Click Run Query.

  3. Click the Box Plot tab.

    You can click on the top left of the Detail View to expand the Box Plot visualization.

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