Sentence examples for data were categorised into from inspiring English sources

Data were categorised into low- (0 to 3.5 moderatemoderate- (3.6 to 5.0 m·s−1) and high-speed (≥5.1 movementovement bands [26]; the total number of collisions was recorded as described previously [1].

A significant effect of grouped isoform involvement on FSIQ was identified when the data were categorised into 5 groups; Dp427, Dp260+Dp140utr, Dp140pc, Dp116 and Dp71 (df = 4, F = 5.16, p = 0.0014), a model which accounted for a greater proportion of the variance than an alternative 5 group model consisting of Dp427, Dp260, Dp140utr+Dp140pc, Dp116 and Dp71 (model 15; df = 4, F = 4.48, p = 0.0034).

Coded data were categorised into areas of thematic relevance to the research objectives.

Data were categorised into four groups; <24 hours, 1– 2 nights, 3– 4 nights, 5+ nights.

For each outcome, missing data were categorised into early and late dropout/completer patterns.

The data were categorised into quintiles; quintile 1 indicating the most disadvantaged.

Next, the data was categorised into three clusters representing the three MLP levels of landscape (macro level), regime (meso level) and niche (micro level).

The data was categorised into adolescent (aged 10-19) adultdult (20+) categories.

2. The data was categorised into themes by identification of recurring or underlying ideas that were pertinent to the interviewees.

In this paper, we present how this qualitative data was categorised into dimensions in CSM for further development and modification of the CBT intervention.

Data were categorised as follows.