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Understanding Validity and Reliability in Data Analysis: Factors and Regression Relations

Explore the significance of validity and reliability in data analysis, along with factors influencing results and regression analysis. Learn how to ensure accurate and dependable outcomes in research.

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Understanding Validity and Reliability in Data Analysis: Factors and Regression Relations

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  1. Vocabulary 2 from validity to reliability, and from factors to regression

  2. the relations between • valid : up-to-date, true; well-grounded, sound, cogent = powerful, constraining, convincing; sufficient, and effective and • reliable : true, more true, refered to something, a trustworthy source;

  3. Ethics ! • ethic (n): a moral principle or a set of principles • ethical (a): dealing with moral questions or theory • ethics (n, pl): the science of morals; a system of principles… (Source: The Cassell Concise Dictionary)

  4. data manipulations 1 • factor : a changing value with an affect on a phenomenon; any circumstance, fact or influence which contributes to a result • factor analysis : A class of procedures primarily used for data reduction and summarization.

  5. data manipulations 2 • regression : a backward movement, a return, reversion to type • regression analysis : A statistical procedure for analyzing associative relations between a metric-dependent variable and one or more independent variables.

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