Sentence examples for between data collection tools from inspiring English sources

Exact(6)

Agreement between data collection tools for the total number of garden watering sessions in the 7-days prior, as measured by a weighted kappa (0.36), was 'poor'poor

Many of the activities showing 'poor' agreement between data collection tools, as measured by the weighted kappa statistic, were not only less frequently performed activities, but also outdoor water-related activities.

Rainfall in each of the CATI and diary 7-day periods was not tracked for individual households; hence the role of weather conditions on poor agreement between data collection tools for garden watering frequency was not able to be elucidated.

A comparison of CATI and diary responses showed poor agreement between data collection tools for all but the duration of the automatic watering system, which showed 'fair to good' agreement (weighted kappa = 0.51).

* Fleiss JL: Statistical methods for rates and proportions 2nd edition, New York; Wiley; 1981:218 Agreement between data collection tools for the total number of toilet flushes per household per week, as measured by a weighted kappa (0.29), was 'poor' (Table 4).

Statistical analysis of the agreement between responses relating to washing machine water level showed 'poor' agreement between data collection tools relating to the selection of low (weighted kappa = 0.24) and medium (weighted kappa = 0.33) water levels and 'fair to good' agreement for high (weighted kappa = 0.44) and automatic (weighted kappa = 0.64) water level settings.

Similar(54)

Differences between true pretest and thentest ratings (summer 2011) as well as between the two data collection tools (summer 2012) were also expressed as Cohen's d [ 21] with values of 0.2 indicating small and values of 0.8 large effects.

AW and BK designed the data collection tools, collected the data, monitored data collection, and revised this paper.

AP and ALE designed the data collection tools, collected the data, and revised this paper.

Agreement between performance gain values derived from the two different data collection tools was assessed by means of a Pearson correlation.

There was a strong and significant correlation between retrospective performance gain values derived from the two different data collection tools (r = 0.890; p < 0.001; see Figure  5).

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