We estimate the relationship between farm animal welfare (FAW) efforts taken by beef farmers and the economic performance of beef farms by using farm accounting data from the Swedish Farm Economic Survey matched with survey data on farm management practices. To this end, we perform a two-step analysis. First, an item response theory (IRT) model estimates the latent FAW effort on farms. FAW effort likely depends on a host of complementary FAW-improving strategies, and the IRT model combines the considered strategies into a unidimensional scale. We take this to represent on-farm FAW effort. Second, we use instrumental variable regressions to estimate the relationship between FAW effort and multiple measures of farm economic performance. We find that higher FAW effort scores have no effect on margins and costs. However, higher FAW effort scores are associated with lower farm sales. Findings suggest that policies (such as targeted label for high FAW) that increase farm revenue as well as incentivize the uptake of FAW-improvement practices may be able to compensate farmers for their FAW effort.

The aim of current research is to analyze the psychometric properties of the Spanish version of the SF–8, overcoming previous shortcomings. A double line of analyses was used: competitive structural equations models to establish factorial validity, and Item Response theory to analyze item psychometric characteristics and information. 593 people aged 60 years or older, attending long life learning programs at the University were surveyed. Their age ranged from 60 to 92 years old. 67.6% were women. The survey included scales on personality dimensions, attitudes, perceptions, and behaviors related to aging. Competitive confirmatory models pointed out two-factors (physical and mental health) as the best representation of the data: χ2(13) = 72.37 (p < .01); CFI = .99; TLI = .98; RMSEA = .08 (.06, .10). Item 5 was removed because of unreliability and cross-loading. Graded response models showed appropriate fit for two-parameter logistic model both the physical and the mental dimensions. Item Information Curves and Test Information Functions pointed out that the SF–8 was more informative for low levels of health. The Spanish SF–8 has adequate psychometric properties, being better represented by two dimensions, once Item 5 is removed. Gathering evidence on patient-reported outcome measures is of crucial importance, as this type of measurement instruments are increasingly used in clinical arena.

Most popular tests of motor proficiency have been developed using classical test theory. Recently, item response theory (IRT) has been used to address some of the difficulties inherent with these traditional psychometric approaches. This paper focuses on the application of IRT in the psychomotor domain where analyses involving both dichotomous (Cole, Wood, & Dunn, 1991; Werder & Bruininks, 1988) and polytomous criterion referenced measurements (Puderbaugh & Fisher, 1992) have met with equivocal results. The application of the method to quantitative data has to date proved challenging. An example reported here is based on outcome measures used in the development of a test of movement skills for children aged 5 and 6 years. The results appear very promising, but some caution is required in interpreting results.