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  2. Psychological statistics - Wikipedia

    en.wikipedia.org/wiki/Psychological_statistics

    Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article ...

  3. Bayesian approaches to brain function - Wikipedia

    en.wikipedia.org/wiki/Bayesian_approaches_to...

    Using variational Bayesian methods, it can be shown how internal models of the world are updated by sensory information to minimize free energy or the discrepancy between sensory input and predictions of that input. This can be cast (in neurobiologically plausible terms) as predictive coding or, more generally, Bayesian filtering.

  4. Spearman–Brown prediction formula - Wikipedia

    en.wikipedia.org/wiki/Spearman–Brown_prediction...

    The Spearman–Brown prediction formula, also known as the Spearman–Brown prophecy formula, is a formula relating psychometric reliability to test length and used by psychometricians to predict the reliability of a test after changing the test length. [1] The method was published independently by Spearman (1910) and Brown (1910). [2] [3]

  5. List of psychological research methods - Wikipedia

    en.wikipedia.org/wiki/List_of_psychological...

    Quantitative psychological research findings result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather than the topics they focus on. There are three main types of psychological research: Correlational research; Descriptive research; Experimental research

  6. Classical test theory - Wikipedia

    en.wikipedia.org/wiki/Classical_test_theory

    Classical test theory is an influential theory of test scores in the social sciences. In psychometrics, the theory has been superseded by the more sophisticated models in item response theory (IRT) and generalizability theory (G-theory).

  7. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. [2] In many cases, the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam.

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  9. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    The understanding of perception as the interaction between sensory stimuli (bottom-up) and conceptual knowledge (top-down) continued to be established by Jerome Bruner who, starting in the 1940s, studied the ways in which needs, motivations and expectations influence perception, research that came to be known as 'New Look' psychology.