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  2. Factor analysis - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis

    Factor analysis can be only as good as the data allows. In psychology, where researchers often have to rely on less valid and reliable measures such as self-reports, this can be problematic. Interpreting factor analysis is based on using a "heuristic", which is a solution that is "convenient even if not absolutely true". [49]

  3. 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).

  4. Kaiser–Meyer–Olkin test - Wikipedia

    en.wikipedia.org/wiki/Kaiser–Meyer–Olkin_test

    The Kaiser–Meyer–Olkin (KMO) test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for each variable in the model and the complete model. The statistic is a measure of the proportion of variance among variables that might be common variance.

  5. Exploratory factor analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_factor_analysis

    Exploratory Factor Analysis Model. In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set of variables. EFA is a technique within factor analysis whose overarching goal is to identify the underlying relationships between measured variables. [1]

  6. Factorial experiment - Wikipedia

    en.wikipedia.org/wiki/Factorial_experiment

    Designed experiments with full factorial design (left), response surface with second-degree polynomial (right) In statistics, a full factorial experiment is an experiment whose design consists of two or more factors, each with discrete possible values or "levels", and whose experimental units take on all possible combinations of these levels across all such factors.

  7. The debt ceiling is back, but no need to worry – yet - AOL

    www.aol.com/debt-ceiling-back-no-worry-050142134...

    The legislation would also include $2.5 trillion in cuts to net mandatory spending, aimed at satisfying conservative members who oppose increasing the debt ceiling without accompanying cuts.

  8. Multiple factor analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_factor_analysis

    Multiple factor analysis (MFA) is a factorial method [1] devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups.

  9. Trump's Treasury pick, tariffs, and retail therapy: 3 themes ...

    www.aol.com/finance/trumps-treasury-pick-tariffs...

    Still, Trump's nomination of Scott Bessent to the top Treasury post raised hopes that tariffs will be more measured. And with only 21 trading days left in the year, analysts, investors, and market ...