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  2. Temperament and Character Inventory - Wikipedia

    en.wikipedia.org/wiki/Temperament_and_Character...

    The Temperament and Character Inventory (TCI) is an inventory for personality traits devised by Cloninger et al. [1] It is closely related to and an outgrowth of the Tridimensional Personality Questionnaire (TPQ), and it has also been related to the dimensions of personality in Zuckerman's alternative five and Eysenck's models [2] and those of the five factor model.

  3. Big Five personality traits - Wikipedia

    en.wikipedia.org/wiki/Big_Five_personality_traits

    Beneath each proposed global factor, there are a number of correlated and more specific primary factors. For example, extraversion is typically associated with qualities such as gregariousness, assertiveness, excitement-seeking, warmth, activity, and positive emotions. [80] These traits are not black and white; each one is treated as a spectrum ...

  4. Values in Action Inventory of Strengths - Wikipedia

    en.wikipedia.org/wiki/Values_in_Action_Inventory...

    Rather, the strengths were best represented by a one and four factor model. A one factor model would mean that the strengths are best accounted for by, “one overarching factor,” such as a global trait of character. [15]: 797 A four factor model more closely resembles the "Big Five" model of personality. The character strengths in the four ...

  5. Factor analysis - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis

    For example, a sulfide mine is likely to be associated with high levels of acidity, dissolved sulfates and transition metals. These signatures can be identified as factors through R-mode factor analysis, and the location of possible sources can be suggested by contouring the factor scores. [54]

  6. Scree plot - Wikipedia

    en.wikipedia.org/wiki/Scree_plot

    In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. [1] The scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component analysis (PCA).

  7. Full factorial experiment - Wikipedia

    en.wikipedia.org/wiki/Factorial_experiment

    There are various traditions to denote the levels of each factor. If a factor already has natural units, then those are used. For example, a shrimp aquaculture experiment [9] might have factors temperature at 25 °C and 35 °C, density at 80 or 160 shrimp/40 liters, and salinity at 10%, 25% and 40%. In many cases, though, the factor levels are ...

  8. Two-factor models of personality - Wikipedia

    en.wikipedia.org/wiki/Two-factor_models_of...

    Another addition to the two factor models was the creation of a 10 by 10 square grid developed by Robert R. Blake and Jane Mouton in their Managerial Grid Model introduced in 1964. This matrix graded, from 0–9, the factors of "Concern for Production" (X-axis) and "Concern for People" (Y-axis), allowing a moderate range of scores, which ...

  9. R-factor (crystallography) - Wikipedia

    en.wikipedia.org/wiki/R-factor_(crystallography)

    In the Cambridge Structural Database of small-molecule structures, more than 95% of the 500,000+ crystals have an R-factor lower than 0.15, and 9.5% have an R-factor lower than 0.03. Crystallographers also use the Free R-Factor ( R F r e e {\displaystyle R_{Free}} ) [ 3 ] to assess possible overmodeling of the data.