The aim of this study was to illustrate the integration of different parameters into an overall assessment of animal welfare on the basis of studies with dairy cows. Behavioural observations were carried out on 36 farms with cubicle houses. Summed variables of resting behaviour were constructed by summing the results for three to nine behaviours. These summed variables showed higher correlations with cubicle features than did single behaviours. Individual animals may react differently to the same causes (cubicle features), and adding up may compensate for these different reactions of individuals to the same causes. Most recorded behaviours correlated with one another; this could be interpreted as evidence for identical causes. A cubicle sum variable was constructed, giving scores for cubicle features. The cubicle sum variable showed higher correlations with resting behaviours than did single cubicle features. This suggests that certain behaviours are affected by several cubicle features (additive effects). This hypothesis was confirmed by multivariate analysis.

Given the absence of a ‘Golden Standard’ for the objective determination of welfare, the collection and interpretation of data involving different parameters is essential for assessing the well-being of farm animals. The choice of parameters and the relative weights assigned to each of them are crucial for the outcome of the assessment. Both elements involve a certain degree of subjectivity. In this paper we discuss the basics of different methods used to integrate welfare parameters, focussing on the issue of scientific objectivity. We begin by addressing parameter selection, the assignment of parameter weightings or rankings and the qualifications necessary for ‘experts’ designing and applying the methodology. Five different approaches to integrating parameters are then discussed. The paper does not state a preference for any method, but aims to encourage discussion of key elements involved with the on-farm assessment of welfare.