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data analysis |
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data analysis, (in research) the phase of a study that includes classifying, coding, and tabulating information needed to perform quantitative or qualitative analyses according to the research design and appropriate to the data. Data analysis follows collection of information and precedes its interpretation or application. data plural of datum. A collection of information or facts. See also information. data adjustment for useful results data often need to be modified before analysis; for example for age, for sex or for difficulty or for number of attempts. data analysis submission of data to statistical analysis; includes sorting into categories and determining relationships between variables. data capture a mechanism for collecting specified segments or categories of data from a stream of automatically recorded data some of which may be irrelevant for the specific purpose. categorical data are qualitative and suited to classification into categories. Further divisible into nominal (names), ordinal (levels of quality, development), dichotomized (mutually exclusive). continuous data data which have an infinite number of possible values. diagnostic data lists of diagnoses and data of clinical signs, clinical pathology results and pathology lesions used in the making of diagnoses. dimensional data numerical or quantitative data. May be explicit and therefore continuous, or grouped into approximate groups, e.g. nearest whole number, i.e. discrete data. discrete data data that have finite (usually whole integer) value and therefore fall naturally into groups of similar values; opposite to continuous data. incidence data data related to the occurrence of specific disease incidents. non-normal data data whose frequency distribution is markedly different to that of normal data (see below). normal data data which manifests graphically as a bell-shaped curve distributed symmetrically about the peak value. ordinal data a type of data containing limited categories with a ranking from the lowest to the highest, e.g. very mild, moderate, severe. paired data see paired data. passive data data acquired from records collected for some other purpose. pre-existing data data in existence before the commencement of a study. Of limited value unless they are exactly the data required, have been collected adequately, and a group of pre-existing controls with their corresponding data can be identified. prevalence data disease occurrences are recorded against the size of the population at risk at the time. raw data data as they are collected and before any calculation, ordering, etc. has been done. screening data data obtained by periodic diagnostic testing of randomly selected samples of a population. secondary data the use of data for purposes other than that for which it was intended. sentinel data data collected from sentinel animals or other recording units. How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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| Examining the process of data analysis for practitioners, the author shows how teachers and school leaders can be experts in data analysis instead of number crunchers. Although the definition of toxicogenomics is broader than this, the focus of the first part of the book is to introduce the technology, explain the differences between the two conventional formats used most often (cDNA and oligonucleotide arrays), describe various quality assurance parameters, and discuss current data analysis and mining methods. Data Analysis for Comprehensive Schoolwide Improvement is a comprehensive guide for school administrators and assessment experts who want to improve the performance of their organization. |
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