Items suitable for a new mobility instrument were generated from existing scales, patient interviews and focus groups with experts.
Since results from the literature review revealed that there were no iron overload specific QoL instruments, hypotheses were generated based on patient and expert interviews in order to develop a disease-specific instrument.
After administering the instrument, profiles were generated based on 12 personality dimensions.
It is a generic, multidimensional self-reported instrument whose items were generated from individual interviews and focus groups conducted with adolescents [ 28, 29].
The specimens were analyzed on a Luminex 200 instrument and results were generated using the STarStation software (Applied Cytometry, Sheffield, UK).
A key strength of this instrument is that items were generated to reflect themes identified during in-depth interviews with people experiencing acute and chronic back pain.
For microarray data processing and normalization, microarray chips were scanned using a GenePix 4000B scanner (Axon Instruments, Union City, CA) and median spot intensities were generated using GenePix 5.0 (Axon Instruments, Union City, CA).
This is because the mixtures in Table 4 were generated using instruments playing the same notes, and higher partials in that kind of mixture are more likely to be strongly dominated by one of the instruments most instruments have strong low partials, so they will all have significant contributions in the lower partials of the mixture.
To calculate H' for an instrument (H' instrument), pi is generated for the total number of responses for a given level across all dimensions as a proportion of total responses to the entire instrument [ 4].
Standards curves were generated according the instrument manufacturer's recommendations using KNO2 as a substrate under acidic conditions.
Items were generated for the instrument by examining original research and position papers on VTE.
