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- Björk, Maria, et al.
(författare)
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Striving to survive : Families' lived experiences when a child is diagnosed with cancer
- 2005
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Ingår i: Journal of Pediatric Oncology Nursing. - : Sage Publications. - 1043-4542 .- 1532-8457. ; 22:5, s. 265-275
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Tidskriftsartikel (refereegranskat)abstract
- When a child is ill with cancer, this affects the whole family for long periods. The aim of this study was to elucidate the family's lived experience when a child in the family was diagnosed with cancer. A descriptive inductive design with a hermeneutic phenomenological approach including interviews with 17 families (parents, children, and siblings) was chosen. The families' lived experience was described as a 2-fold essential theme comprising "a broken life world" and an immediate "striving to survive." The families' secure everyday life disappeared and was replaced by fear, chaos, and loneliness. When striving to make the child and the family survive, family members strove to feel hope and have a positive focus, to gain control, and to feel close to other people. Phenomenological human science research can deepen the understanding of the meaning of being a family with a child who is ill with cancer and can help pediatric oncology staff become increasingly thoughtful, and thus better prepared to take action to diminish the chaos occurring in the family. © 2005 by Association of Pediatric Oncology Nurses.
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| 2. |
- Hacker, R Scott, et al.
(författare)
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A Test for Multivariate ARCH Effects
- 2005
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Ingår i: Applied Economics Letters. - : Informa UK Limited. - 1350-4851 .- 1466-4291. ; 12:7, s. 411-417
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Tidskriftsartikel (refereegranskat)abstract
- This paper extends Engle's LM test for ARCH affects to multivariate cases. The size and power properties of this multivariate test for ARCH effects in VAR models are investigated based on asymptotic and bootstrap distributions. Using the asymptotic distribution, deviations of actual size from nominal size do not appear to be very excessive. Nevertheless, there is a tendency for the actual size to overreject the null hypothesis when the nominal size is 1% and underreject the null when the nominal size is 5% or 10%. It is found that using a bootstrap distribution for the multivariate LM test is generally superior in achieving the appropriate size to using the asymptotic distribution when (1) the nominal size is 5%; (2) the sample size is small (40 observations) and/or the VAR system is stable. With a small sample, the power of the test using the bootstrap distribution also appears better at the 5% nominal size.
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