what is the implicit association test quizlet?
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"Implicit Association Test" The IAT measures the strength of associations between concepts (i.e. groups of people) and evaluations (i.e. good vs. bad) or stereotypes. ex/ Sexuality, race, gender-career, science, age, disability, etc.
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Correlation is a statistic that describes the association between two variables. The correlation statistic can be used for continuous variables or binary variables or a combination of continuous and binary variables. In contrast, t-tests examine whether there are significant differences between two group means.
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A genome-wide association study is an approach that involves rapidly scanning markers across the complete sets of DNA, or genomes, of many people to find genetic variations associated with a particular disease.
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['Classification Analysis. This analysis is used to retrieve important and relevant information about data, and metadata. ... ', 'Association Rule Learning. ... ', 'Anomaly or Outlier Detection. ... ', 'Clustering Analysis. ... ', 'Regression Analysis.']
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Association Areas. Association Areas are sections of the cerebral cortex that are connected to the function of a primary part of the cerebral cortex. These areas are responsible for thought, memory, and learning, in combination with the primary parts they surround.
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[' Multiple choice questions. ... ', ' Information identification questions. ... ', ' Information matching. ... ', ' Head Matching. ... ', ' Sentence completion. ... ', ' Summary completion. ... ', ' Features matching. ... ', ' Matching sentence endings.']
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For a product-moment correlation, the null hypothesis states that the population correlation coefficient is equal to a hypothesized value (usually 0 indicating no linear correlation), against the alternative hypothesis that it is not equal (or less than, or greater than) the hypothesized value.
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Multinomial logistic regression (often just called 'multinomial regression') is used to predict a nominal dependent variable given one or more independent variables. It is sometimes considered an extension of binomial logistic regression to allow for a dependent variable with more than two categories.
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['This test only works for categorical data (data in categories), such as Gender {Men, Women} or color {Red, Yellow, Green, Blue} etc, but not numerical data such as height or weight.', 'The numbers must be large enough. Each entry must be 5 or more. In our example we have values such as 209, 282, etc, so we are good to go.']
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The Null Hypothesis Significance Testing framework. NHST is a method of statistical inference by which an experimental factor is tested against a hypothesis of no effect or no relationship based on a given observation.
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[' State the Research Hypothesis.', ' State the Null Hypothesis.', ' Select a probability of error level (alpha level)', ' Select and compute the test for statistical significance.', ' Interpret the results.']
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['Isolation: run your tests with seeAllData=false. Good unit tests interact with the smallest amount of code possible. ... ', 'Arrange - Act - Assert. ... ', 'Run tests as real user profiles. ... ', 'Use Test. ... ', 'Exercise bulk trigger functionality. ... ', 'Automate your test execution.']
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Some research has found that the IAT tends to be a better predictor of behavior in socially sensitive contexts (e.g. discrimination and suicidal behaviour) than traditional "explicit" self-report methods, whereas explicit measures tend to be better predictors of behavior in less socially sensitive contexts (e.g. ...
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In statistics and econometrics, an augmented Dickey–Fuller test (ADF) tests the null hypothesis that a unit root is present in a time series sample. ... It is an augmented version of the Dickey–Fuller test for a larger and more complicated set of time series models.
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Type I, also called “sequential” sum of squares: SS(A) for factor A. SS(B | A) for factor B. SS(AB | B, A) for interaction AB. This tests the main effect of factor A, followed by the main effect of factor B after the main effect of A, followed by the interaction effect AB after the main effects.
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The latex agglutination test is a laboratory method to check for certain antibodies or antigens in a variety of body fluids including saliva, urine, cerebrospinal fluid, or blood.
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A linear relationship (or linear association) is a statistical term used to describe a straight-line relationship between two variables. Linear relationships can be expressed either in a graphical format or as a mathematical equation of the form y = mx + b.