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Exact(5)
Table 2 shows the univariate associations between various on the one side and the two measures of purpose in life on the other side.
It was found that a younger age, a better mental health, and an optimistic coping style were significantly associated with both measures of purpose in life.
It appeared that sex, living status, disease duration, the VAS disease activity, and the coping dimensions seeking solutions, resilience, and distraction were not statistically significantly associated with any of the two measures of purpose in life.
Variables or constructs that were statistically significantly associated with measures of purpose in life in the univariate analyses were then entered into multivariate multiple linear regression models with the same dependent variables (method stepwise backward).
Associations between sociodemographic and disease characteristics, physical, mental and social functioning, and coping on the one side and the two measures of purpose in life on the other side and associations between the two purpose of life measures and physical and mental dimensions of quality of life were assessed by means of univariate and multivariate regression analyses.
Similar(55)
The Sense of Self Scale (King et al. 2012a, b) which measures sense of purpose for schooling, positive self-concept, and negative self-concept was also administered to test for between-network validity.
Post-hoc analyses were performed on Digit Span and Paired Associative Learning measures for purposes of clarification and interpretation of our findings, as well as for hypothesis generation for future studies.
"To understand God's thoughts we must study statistics, for these are the measure of His purpose". Florence Nightingale (nurse and pioneer in the use and presentation of statistics, 1820 1910).
Primary and secondary outcomes used are the measures of depression, anxiety, purpose in life, positive affect and participation.
This clearly shows the value of using both subjective and objective measures of motivation for purposes of triangulation, as well as validating the results acquired.
In addition, the use of aggregate measures for the purpose of analysis may not have fully reflected the frequency or severity of the behaviors being examined.
Related(20)
measures of implementation
measures of subject
measures of pursuit
means of purpose
measures of intent
measures of destination
measures of intention
measures of significance
measures of objective
measures of motivation
measures of usefulness
measures of order
measures of sentiment
measures of well-being
measures of revenue
measures of goals
measures of success
measures of delinquency
measures of business
measures of misery
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Justyna Jupowicz-Kozak
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