Character Trait Descriptive Adjectives

Character Trait Descriptive Adjectives

Characteristics of Descriptive Research

Limited evidence exists regarding the specific descriptive characteristics of people who benefit most from CIMT. Significant predictive ability was discovered with age of the participant. An inverse relationship was demonstrated between age and amount of use. When entering age in the appropriate regression equations, along with the covariate, an individual’s CIMT outcome can be predicted. Although age was the only significant predictor, an equally strong finding in this study was that side of stroke, chronicity, hand dominance, sex, and ambulatory status were not found to be predictors at the follow-up session. This finding emphasizes the importance of not excluding people from CIMT based on these predictors.

Descriptive Characteristics as Potential Predictors of Outcomes Following Constraint-Induced Movement Therapy for People After Stroke

CHARACTERISTICS OF DESCRIPTIVE RESEARCH

Research evidence supports the effectiveness of CIMT, but many questions persist about who can benefit from this therapy.,–,– Selection criteria for participation in CIMT should be carefully examined to determine who benefits most from this intervention and what characteristics are predictive of positive CIMT outcomes. The aim of this study was to establish a simple predictive model for CIMT outcomes based on 6 descriptive characteristics of people poststroke. The identification of clinical predictors for outcomes of CIMT is essential and of value to both researchers and clinicians.

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This was an extraordinarily important case series (a detailed description of characteristics of a series of people who all have the same disease) that suggested that this new syndrome was associated with sexual activity in male homosexuals. Alerting the medical establishment and proposing a hypothesis was an important milestone in the AIDS epidemic, however, the association could not be securely established based on this small case series. It was not known how many other individuals might be suffering from this new syndrome. It was also not known what the prevalence of homosexuality might be in others with this syndrome or how this might compare to the overall prevalence of homosexuality in the population that gave rise to the cases. As a result, this case series could not securely establish a valid association. Nevertheless, it laid the ground work for subsequent case-control studies and cohort studies (analytic studies) that did establish the risk factors for this disease.

Descriptive statistics - Wikipedia