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1.
Int J Nurs Educ Scholarsh ; 7: Article 14, 2010.
Article in English | MEDLINE | ID: mdl-20597853

ABSTRACT

The researchers surveyed nursing students yearly during their three-year education, and examined active and emotional engagement. We examined the association of these properties with seven independent variables: higher educational institution, class size, age, gender, prior assistant nurse education, study experience and self-rated health. This longitudinal study included 1,334 students from 24 universities and university colleges in Sweden. Active engagement increased and emotional engagement decreased during the study years. Male students, older students and those with prior assistant nurse education had higher active engagement than other students. Older students, females, students with good self-rated health and those attending universities had higher emotional engagement. Study results suggest that higher educational institutions should pay more attention to students' active and emotional engagement in learning situations, since this may increase the ability of the students to cope with stressful events during their education, giving them an extra resource on which they can draw.


Subject(s)
Adaptation, Psychological , Education, Nursing , Learning , Students, Nursing/psychology , Adult , Age Factors , Female , Humans , Longitudinal Studies , Male , Middle Aged , Multivariate Analysis , Sex Factors , Sweden
2.
Int J Nurs Stud ; 46(3): 380-93, 2009 Mar.
Article in English | MEDLINE | ID: mdl-19059593

ABSTRACT

OBJECTIVE: The purpose was to introduce the Rasch model by showing an application in nursing research. METHODS: The Rasch model was used to examine the psychometric properties of the nursing self-efficacy (NSE) scale. Data were collected among nursing students in Sweden. Two sets of items were analysed more thoroughly: an original set of nine items with eleven response categories and a revised set of seven items with seven response categories. Invariance of the item functioning and the categorisation of the items were analysed. Targeting was examined by comparisons of the items and persons locations. Differential Item Functioning across sample groups such as gender was examined using analysis of variance. The final set of seven items was also analysed more closely with respect to possible multidimensionality and response dependence. RESULTS: The Rasch analysis of the original set of nine items showed high reliability measured by a person separation index, but it also indicated severe problems with the targeting, the categorisation of the items as well as lack of invariance. Although the revised set comprising seven items with seven categories performed better than the original item set some items showed misfit according to formal test statistics. Graphical examination showed, however, that the items operated in the right direction. The formal test of local independence of the items indicated minor signs of multidimensionality, alternatively response dependence. CONCLUSIONS: The Rasch model is useful for rigorous examination and development of measurement instruments in nursing research. The Rasch model facilitates disclosure of lack of invariance and other measurement problems that may not be easily detected by traditional analyses. Hence, the NSE-scale would probably have performed much better if the developmental work had been guided by Rasch analyses. In future work on the scale, priority should be given to improving the targeting and the categorisation of the items.


Subject(s)
Attitude of Health Personnel , Models, Statistical , Nursing Research/methods , Self Efficacy , Students, Nursing/psychology , Surveys and Questionnaires/standards , Analysis of Variance , Clinical Competence , Female , Humans , Logistic Models , Longitudinal Studies , Male , Models, Nursing , Nonlinear Dynamics , Nurse's Role , Nursing Research/standards , Principal Component Analysis , Probability , Psychometrics , Sweden
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