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Facts on Analyzing Data

Analyzing Data Analysis (2) What is data analysis? Conducting a complete data analysis will enable you to: determine the impact of your work the process of systematically examining data with the purpose of spotlighting useful information; the foundation of scientific assess the quality of your programming research communicate results to your stakeholders Quantitative Research Process conclusions research idea comparison with research literature review) ear theoretical foundation theoretical interpretation of the results of the research problem answering empirical research questions empirical research questions data analysis research design data collection Stages of Quantitative Analysis make very sure that your data are correct; make very sure that missing values are clearly identified as missing data clean your data gain knowledge about your data make lists of data; produce descriptive statistics; produce graphics produce composed scales make graphics or tables that show relationships coefficients that significance level, i.e. find out if you have to right to interpret the relation measure the calculate strength and the structure of a relation coefficients that describe the percentage of variance explained Which programs you can use for data analysis? If available, plan to use a real statistics program like SPSS Y Statistica WinlDAMS Good freeware: DO-DO_TOPIC&URL_SECTION=201.html Freeware for advanced statistics and data visualization: R only use such programs for simple descriptive statistics Using programs like Excel will make you ok if the main thrust of your thesis does not involve any kind of serious data analysis loose time Created by Infographic Design Services .com Sourses: and_data_analysis

Facts on Analyzing Data

shared by rebeccabrown on Dec 22
Look at the infographic showing data anasysis basics: what is data analysis and quantitative research, stages of quantitative analysis and software you can use


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