A conventional way to analyze item responses in multiple tests is to apply unidimensional item response models separately, one test at a time. This unidimensional approach, which ignores the correlations between latent traits, yields imprecise measures when tests are short. To resolve this problem, one can use multidimensional item response models that use correlations between latent traits to improve measurement precision of individual latent traits. The improvements are demonstrated using 2 empirical examples. It appears that the multidimensional approach improves measurement precision substantially, especially when tests are short and the number of tests is large. To achieve the same measurement precision, the multidimensional approach needs less than half of the comparable items required for the unidimensional approach.
People's willingness to postpone receiving an immediate reward in order to gain additional benefits in the future, that is, a tendency to shallow delay discounting, is closely related to one's health, wealth, and happiness. We conducted two experiments investigating how the prospect concept can induce a future-oriented mindset and induce people to behave accordingly. We found that engaging in prospective imagery led the participants to focus on delayed utility over immediate utility in financial decisions (Experiment 1). Participants who received the prospect prime via a scrambled-sentence task decreased their desire to pursue hedonic activities for instant gratification (Experiment 2). Moreover, a state of future orientation mediated the effect of the prospect prime on measures of delayed gratification (Experiments 1 and 2). Thus, reminders of prospect may activate a mindset for future orientation by which delayed gratification is strengthened.
Research on school bullying has tended to focus on its prevalence or frequency while ignoring its perceived severity. This study attempted to construct a perceived School Bullying Severity Scale (SBSS). The original 24-item instrument, revised from the Victim Scale of the School Bullying Scales, covered the four categories of physical, verbal, relational and cyber bullying. The partial credit model was used to conduct Rasch analysis with ConQuest software on data derived from two samples of Taiwanese secondary school students. Sample 1 and sample 2 consisted of 605 and 869 students, respectively. Three items were deleted after examining the quality of the data from sample 1. The reliability and validity of the 21 items on the final scale were verified using data from sample 2. Results demonstrated the reliability and validity of information collected by the SBSS. This study also found that secondary school students rated relational and cyber bullying as more severe than physical and verbal bullying. Differences between teachers' and students' perspectives on the perceived severity of various bullying behaviours as well as implications for preventing and intervening in bullying are discussed.
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