Translation and Psychometric Evaluation of the Dutch Families Importance in Nursing Care: Nurses’ Attitudes Scale Based on the Generalized Partial Credit Model
| Autor: | Ellen I Hagedoorn, Tiny Jaarsma, Joost C. Keers, Wolter Paans, C.P. van der Schans, Wim P. Krijnen, Marie Louise Luttik |
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| Přispěvatelé: | Family Care, Nursing Diagnostics, Healthy Ageing, Allied Health Care and Nursing, Statistical Techniques for Applied Research |
| Rok vydání: | 2018 |
| Předmět: |
Male
family Psychometrics Applied psychology Nursing Staff Hospital Family Nursing/methods Nursing Staff Hospital/psychology Nursing care 0302 clinical medicine Dutch translation nursing Professional-Family Relations Surveys and Questionnaires adults vrouwen 030212 general & internal medicine nurses attitudes about families psychometrics Rasch model education.field_of_study 030504 nursing mannen psychologie females Middle Aged nurses’ attitudes about families cross-sectionele studies Scale (social sciences) Female middelbare leeftijd 0305 other medical science Family Practice Construct (philosophy) Psychology Adult Attitude of Health Personnel males Population Nursing psychology verpleegkunde 03 medical and health sciences mensen psychometrische eigenschappen Humans vertalingen Translations education Community and Home Care Omvårdnad Polytomous Rasch model Polychoric correlation Hospital/psychology familiebetrokkenheid Cross-Sectional Studies Family Nursing Nursing Staff |
| Zdroj: | Journal of family nursing, 24(4), 538-562. SAGE Publications Inc. Journal of Family Nursing, 24(4), 538-562. Sage |
| ISSN: | 1552-549X 1074-8407 |
| DOI: | 10.1177/1074840718810551 |
| Popis: | The instrument called Families Importance in Nursing Care–Nurses’ Attitudes (FINC-NA) is used to measure nurses’ attitudes toward involving families in their nursing care. The aim of this study is to evaluate the FINC-NA scale in a population of Dutch nurses and add new psychometric information to existing knowledge about this instrument. Using a cross-sectional design, 1,211 nurses received an online application in 2015. Psychometric properties were based on polychoric correlations and the Generalized Partial Credit Model. A total of 597 (49%) nurses responded to the online application. Results confirmed a four-subscale structure. All response categories were utilized, although some ceiling effects occurred. Most items increase monotonically, and the majority of items discriminate well between different latent trait scores of nurses with some items providing more information than others. This study reports the psychometric properties of the Dutch language FINC-NA instrument. New insights into the construct and content of items enable the possibility of a more generic instrument that could be valid across several cultures. |
| Databáze: | OpenAIRE |
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