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| Titel: |
Psychosocial Resource Variables in Cancer Research |
| Auteur: |
Breckler, Steven J. |
| Verschenen in: |
Journal of psychosocial oncology |
| Paginering: | Jaargang 13 (1995) nr. 1-2 pagina's 161-176 |
| Jaar: |
1995-08-15 |
| Inhoud: |
A variety of statistical and analytical issues should be considered whenever psychosocial resource variables are used in cancer research. Measures of resource variables should not be used unless their validity and reliability have been firmly established. Once one decides to measure a resource variable, the sample must be large enough to detect real effects. Most resource variables are measured along a quantitative dimension (e.g., low to high self-esteem). The common practice of imposing cut points on such measures often produces a loss of valuable information. It is also important to recognize that most of the commonly used statistical methods represent onlv linear relationshivs among variables. Special statistical methods are needed to represent potential nonlinear relationships. Distinguishing between resource variables that function as moderators and those that function as mediators can be useful. Finally, multivariate statistical methods such as factor analysis and covariance structure modeling provide powerful tools for analyzing psychosocial resource variables, but they must be used with caution. |
| Uitgever: |
Routledge |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 7 van 10 gevonden artikelen
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