Category:Tracking Studies (Longitudinal Data Analysis)
|Related Online Training modules|
|Updating Tracking Projects|
|Setting Date Scales|
|Creating a Weight by Wave|
|Updating Embedded PowerPoint Charts in a Tracking Study|
|Generally it is best to access online training from within Q by selecting Help : Online Training|
“Tracking” is the term used by market researchers for longitudinal studies which, typically, monitor brands, advertisements or customer satisfaction movements over time.
The basic process for analyzing a tracking study in Q is:
- Create a single cumulative data file, that contains all the waves of data. The best way to do this is to extract a single data file from the data collection software, containing all the waves of the tracker and a variable time-stamping the time of interviews. Alternatively, it is possible to merge data files together using Tools > Merge Data Files > Add New Cases.
- Once the a single cumulative data file has been obtained, either:
- If no analysis has been conducted, use File > Data Sets > Add to Project > From File.
- If some analysis has been conducted, open up the project that contains the analysis, and import the data file using File > Data Sets > Update. See Updating Projects with New or Revised Data.
- If the data file does not already contain a Date question, which indicates the time at which each interview has been conducted, one should be created (see Creating Date Variables).
- Create tables with the date question selected in the Brown Drop-down Menu.
- If so desired, use Edit > Project Options > Customize > Statistical Assumptions and set Date questions to Compare to previous period.
- If so desired, create Time series analyses.
Pages in category ‘Tracking Studies (Longitudinal Data Analysis)’
The following 20 pages are in this category, out of 20 total.
- How to Address Changes in the Questionnaire in a Tracker
- How to Analyze Advertising Trackers with Different Variables for Each Campaign
- How to Change Time Series Labels to Show Different Months
- How to Compare Two Waves of a Tracker in Different Data Files
- How to Compute a Moving Average
- How to Create a Time Series Plot Using Different Data Sources
- How To Detect Changes in Trackers