data

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data

noun back-up, documents, evidence, facts, grounds, information, logic, papers, proof, specifics
See also: citation, clue, documentation, dossier, ground, information, intelligence, news, proof, reference, science, study

data

for the puposes of data protection legislation, data is information which is being processed by means of equipment operating automatically in response to instructions given for that purpose, is recorded with the intention that it should be processed by means of such equipment, or is recorded as part of a relevant filing system or with the intention that it should form part of a relevant filing system. It need not be held on a computer.
References in periodicals archive ?
The analysis used relative percentages, risk ratios, and chi-squares for categorical data.
Appendices supply a primer on categorical data analysis, and a related Web site houses the lEM software.
Regressions, analysis of variance, goodness-of-fit testing, categorical data analysis, and nonparametric hypothesis testing are covered.
Subsequent coverage encompasses analysis of categorical data, genetic epidemiology, gene-environment interplay in psychiatric disorders, reliability, mental health services research, the natural history of psychopathology, and the National Comorbidity Survey, among other topics.
Other activities described include stem-and-leaf plots, calculating a mean, residuals, order statistics, categorical data, and relations between variables.
Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data.
Categorical data is ubiquitous, especially in social sciences, and notoriously difficult to deal with analytically.
Extensions of the Dirichlet distribution--particularly grouped and nested versions--have recently begun being used for the statistical analysis of incomplete categorical data, but information about the phenomena is scattered in journal articles.
Topics of coverage include: correlation, single predictor regression, multiple correlation, part and partial correlation, detection of extreme scores, multiple regression, regression with continuous predictors, coding of categorical data, regression with categorical predictors, methods for entering predictors in multiple regression, and interaction in multiple regression.
They cover describing and examining data, creating and using graphs, comparing one or two means using the t-test, correlation and regression, analysis of categorical data, analysis of variance and covariance, non-parametric analysis procedures, logistical regression, and factor analysis.
Specialists from either the technical side or the biological side consider such aspects as biometrics in marine benthic ecology, improving the performance of color spaces for face recognition by color space normalization and rotation, problems and solutions for improving accuracy, estimating the initial population size from removal data, black coding schemes designed for biometrical authentication, and statistical methods for handling complex categorical data.
The topics are data and table manners, graphs and charts, averages and percentiles, spreads, transforming data, the normal distribution, from samples to populations, getting confident, fun with proportions, how to decide to decide, more tricky decisions, correlation and regression, and analyzing tables with categorical data.