# Tags

A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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 meta-analysis× 103 reliability× 103 terminology× 102 matrix× 102 scales× 101 inference× 99 Inference, in a statistical context, refers to drawing conclusions about a population from information about a sample from that population. random-generation× 98 summary-statistics× 98 A brief numerical description of a set of data. proportion× 97 epidemiology× 97 the study of the distribution and spread of disease or illness at the population level. aic× 96 AIC stands for the Akaike Information Criterion, which is one technique used to select the best model from a class of models using a penalized likelihood. A smaller AIC implies a better model. psychometrics× 96 Psychometrics has evolved as a subfield of psychology to become the science of measurement of unobservable individual characteristics. software× 96 count-data× 95 non-negative integers representing whole amounts. When such data are the dependent variable in a regression, Poisson or negative binomial regression may be appropriate methods. One comm… k-means× 95 a family of cluster analysis methods in which you specify the number of clusters you expect. This is as opposed to hierarchical cluster analysis methods. lasso× 95 Is a form of regularization used in estimation of regression coefficients which shrinks coefficient estimates by penalizing their absolute value (i.e. the $L_1$ norm of the estimates). The LASSO is eq… normality× 93 curve-fitting× 93 effect-size× 92 multicollinearity× 92 sem× 91 structural equation modeling, a multivariate technique popular in social sciences. It is based on formulating a set of linear relations between variables, some of which may be latent, and estimating t… hmm× 90 used for modelling systems that are assumed to be Markov processes with hidden (i.e. unobserved) states. assumptions× 90 Refers to the conditions under which a statistics procedure yields valid estimates and/or inference. Many statistical techniques require the assumption that the data are randomly sampled in some way. … dimensionality-reduction× 89 Dimensionality reduction refers to techniques for reducing many variables into a smaller number while keeping as much information as possible. One prominent method is [tag pca] power-analysis× 89 An inquiry into the quality of a statistical test by calculating the power - the probability of rejecting the null hypothesis given that it is false - under certain circumstances. Power analysis is of… sample× 89 a subset of a population. Statistics, in general, is concerned with using samples to make inference about the parameters governing a larger (possibly infinite) population. roc× 88 Receiver Operating Characteristic, also known as ROC curve. binary-data× 87 Refers to any data that can take on only one of two values. Common analysis tools for binary data and their relationship to covariates include logistic and probit regression. contingency-tables× 87 fitting× 86 robust× 86 quantiles× 86 The quantiles of a distribution refer to points on its cumulative distribution function. Some common quantiles are quartiles and percentiles. logit× 85 A name given to the log-odds function, which maps probabilities to the real line. mixture× 85 one that is written as a convex combination of other distributions. histogram× 84 a graphical representation of the frequencies of a continuous variable. The variable is divided into bins and a bar is drawn for each bin, proportional to its frequency in the data. large-data× 82 difficult to process and manage because their size are usually bigger than the limits software can normally deal with.