The core component of the fieldwork for the Welfare Conditionality research project is an on-going three waves of qualitative interviews with 481 welfare service users sampled across nine different policy area. In order to assist with descriptive statistics and finding subgroups amongst our sample, we have a set of key attributes such as the participant’s age, household, benefits received, etc. Furthermore, we have additional attributes specific to each policy area. Due to this, we have around fifty attributes in total that need values entered for them after each interview. By default NVivo offers three main ways to add attribute values, none of which are ideal for working with this amount of data entry.
The primary means of adding attribute data in NVivo is through the Attribute Values tab of the Node Properties dialogue window. This presents a list of drop-down menus for each of the attributes and can be laborious to work through. Similar to this is opening the Classification sheet and working along the row for the participant. In addition to having the same problem of developing RSI as the first method, this method has become nearly impossible to use as our project file has grown larger. Any change to an attribute value with the Welfare Service User classification sheet open now results in a 1-2 minute wait for NVivo to process the change. The third option is to save attribute data to an excel sheet and import it into NVivo. This introduces its own problems with ensuring values are typed correctly or setting up the excel sheet with acceptable values defined for each column, and still does not make any real time savings with the data entry process.