Prior to data analysis, participant- and channel-specific weighting coefficients were calculated for vertical and horizontal eye movements which were assessed during two pre-experimental calibration trials.
For data analysis, participants were categorized into subgroups according to gender and age.
After data analysis participants were provided a complete transcript of their coded interviews with emergent themes.
Prior to data analysis, participants that did not complete more than 75% of responses were excluded.
Prior to data analysis, participants were screened based on the previously outlined exclusion criteria, and the data sets for t1 and t2 were checked for completeness and correctness.
Prior to data analysis, participants' geographical locations were classified as 'metropolitan' or 'non-metropolitan' based on health service district classifications for ease of reporting and small respondent numbers in some regional districts.
Using insights gained from ongoing data analysis, participants were further chosen based on particular characteristics, such as age, socio-economic background, education level, and children's vaccination status, in order to achieve diversity and enhance understanding of various facets of the phenomenon being studied.
In the data analysis, a participant's job was being further classified: participants whose jobs were in 1) - 3) were grouped into the "manual" category, 4) - 6) into the "non-manual" category and 7) - 12) into "others".
After data analysis each participant was given a full transcript of their coded interviews with a summary of the emergent themes to determine whether the codes and themes are true or matched their responses.
At the end of data collection and prior to data analysis program participants will be allocated to the low or high level of participation group based on their actual participation levels during the study period.
For example as data analysis progressed, participants with different relationships (sister, daughter, son etc).
