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  2. Psychological statistics - Wikipedia

    en.wikipedia.org/wiki/Psychological_statistics

    The CFA is also called as latent structure analysis, which considers factor as latent variables causing actual observable variables. The basic equation of the CFA is X = Λξ + δ where, X is observed variables, Λ are structural coefficients, ξ are latent variables (factors) and δ are errors.

  3. Multitrait-multimethod matrix - Wikipedia

    en.wikipedia.org/wiki/Multitrait-multimethod_matrix

    For example, if a person is measured as being highly depressed by one measure, then another depression measure should also yield high scores. On the other hand, people who appear highly depressed on the Beck Depression Inventory should not necessarily get high anxiety scores on Beck's Anxiety Inventory , inasmuch as they are supposed to be ...

  4. Repeated measures design - Wikipedia

    en.wikipedia.org/wiki/Repeated_measures_design

    Repeated measures analysis of variance (rANOVA) is a commonly used statistical approach to repeated measure designs. [3] With such designs, the repeated-measure factor (the qualitative independent variable) is the within-subjects factor, while the dependent quantitative variable on which each participant is measured is the dependent variable.

  5. Psychometrics - Wikipedia

    en.wikipedia.org/wiki/Psychometrics

    Measurement in psychology and physics are in no sense different. Physicists can measure when they can find the operations by which they may meet the necessary criteria; psychologists have to do the same. They need not worry about the mysterious differences between the meaning of measurement in the two sciences (Reese, 1943, p. 49). [9]

  6. Exploratory factor analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_factor_analysis

    Measured variables are any one of several attributes of people that may be observed and measured. Examples of measured variables could be the physical height, weight, and pulse rate of a human being. Usually, researchers would have a large number of measured variables, which are assumed to be related to a smaller number of "unobserved" factors ...

  7. Latent and observable variables - Wikipedia

    en.wikipedia.org/.../Latent_and_observable_variables

    Examples of latent variables from the field of economics include quality of life, business confidence, morale, happiness and conservatism: these are all variables which cannot be measured directly. But linking these latent variables to other, observable variables, the values of the latent variables can be inferred from measurements of the ...

  8. Factor analysis - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis

    For example, liberals, libertarians, conservatives, and socialists might form into separate groups. Identification of groups of inter-related variables, to see how they are related to each other. For example, Carroll used factor analysis to build his Three Stratum Theory. He found that a factor called "broad visual perception" relates to how ...

  9. Level of measurement - Wikipedia

    en.wikipedia.org/wiki/Level_of_measurement

    Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal , ordinal , interval , and ratio .