Saturday, May 17, 2014

Examining the relationship between changes in personality and changes in depression.

The present study explored the potential importance of using personality trait change as a unique predictor of change in depressive symptoms in a large, longitudinal sample. Cross-sectional, prospective, and correlated-change analyses, as well as several potential mediators (i.e., life satisfaction, chronic stressors, physical health) that may account for the link between personality traits and depression were tested. As predicted, the relationship between static levels of personality traits and depression found in previous research was replicated, and strong evidence was found for personality trait change in predicting change in depression. Variables associated with satisfaction and health were found to partially mediate the link between personality traits and depression.

We used data compiled from a total of 5217 participants.
In 2006, a total of 5002 participants (Mage= 67, SD = 9.8, 59% female)
In 2010, a total of 5007 participants (Mage= 71, SD = 9.7, 60% female)
Personality was measured using the MIDUS Big Five Adjectival scale.
Across both time points, the ethnic background of our sample was 85% European American, 11% African American, and 4% other, and participants reported an average of 13 years of education.

We found evidence of the potential importance of personality trait change in predicting changes in depression, as well as replicated existing research demonstrating the link between static levels of personality traits and depression"

Please remember:
Personality traits are highly stable in persons over 25 years old to 45 years old (the group of persons who could be most interested in serious online dating)

If you plan to use/offer the 16PF5


The key to long-lasting romance is STRICT PERSONALITY SIMILARITY.

WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven!

The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement", not 100% better, 100X better The Online Dating Industry needs a very powerful algorithm like the "Teller Ulam design". In this case 100 times more powerful than actual matching algorithms.

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