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Makes a speciality of behavioral and pharmacologic interventions for melancholy, remedies of late-life insomnia, habit interventions in nursing houses, interventions for incontinence, and residential amendment interventions. For clinicians and researchers.
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Extra resources for Annual Review of Gerontology and Geriatrics, Volume 18, 1998: Focus on Interventions Research With Older Adults
Participants receiving further intervention after the experimental intervention should be excluded from a separate analysis to see if the outcome analyses differ. 26. Sufficient statistical power should be demonstrated before a lack of condition differences is interpreted as reflecting a true absence of differences. once. To control for factors such as possible seasonal variation, cohort effects, changes in the experience level of the providers in conducting protocol intervention, changes in the experience of assessors, and changes in personnel, balancing the number of participants assigned to each condition within temporal waves is crucial.
Lastly, investigators should consider that a failure to find group differences may be the result of insufficient statistical power. If the sample size was too small, or if the groups were too heterogeneous, then the statistical likelihood that actual differences would be detected is low. Therefore, interpreting a lack of differences can be quite difficult, and a conclusion that conditions were actually equivalent might be reasonable only after power analysis suggests that the probability of Type II error is sufficiently low (cf.
Posttest-only designs differ from pretest-posttest designs in that they do not include pretest assessments for either group, allowing for even less confidence that groups are equivalent before the manipulation, because no variables can be statistically tested for pre-intervention equivalence. Variations on these designs include studies with pre- and post-assessments for both groups, but at different points in time, as well as studies with only one of the groups receiving both assessments. All of these quasi-experimental group designs are characterized by nonequivalent control groups which were not composed by random assignment.