Auto Coding tab

Set to None for no auto coding

Set to Clusters to auto categorise the data using a k-means cluster analysis

Set to Values to sort the quantity responses into code bands with one code per unique value

Literal

Set to None for no auto coding

Set to Values to create a code for each unique response (so “I like apples” and “I love apples” would have different codes.)

Set to Words to create a code for each unique word in a response (so “I like apples” and “I love apples” would have four codes, one each for “I”, “like”, “love” and “apples”)

Date

Set to None for no auto coding

Set to Values to sort date responses into code bands with one code per unique value

Time

Set to None for no auto coding

Set to Values to sort time responses into code bands with one code per unique value

Words and Values

Case sensitive

Create separate codes if responses use different cases.

Stop default words

Do not code words that are included in the stop list

Stop default values

Do not code values that are included in the stop list

Modify case

Change the case of words or phrases to the selected style

Limit codes

Set the maximum number of codes to be used (maximum number of 2000)

Clusters

Specify how open-response quantities will be coded into clusters

Clusters

Set the number of clusters to create

Iterations

Set how often the algorithm is repeated (higher numbers give greater accuracy but are slower)

Running means

Check to calculate the cluster centres every time a data case is allocated to a new cluster, rather than waiting until all cases have been evaluated.

Initial Centres

Specify the starting point of the calculations

Set to Zero (default) to start at 0 (in the n-dimensional space). Since the data has been standardised, this should be the centre point of all the variable data

Set to First case to use the data in the first respondent case as the starting point

Set to Evenly spread to spread the start points evenly across the n-dimensional space