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Home page > Data analysis > Structured data analysis > Statistical analysis Statistical analysisMany types of research require that data are subjected to statistical analysis. In cases where this only leads to a quantitative description of the research data, we talk of descriptive statistics. When statistical analysis is used to test whether the results for a certain sample also apply to the population from which the sample is drawn, it is called inferential statistics. Statistical analysis often attempts to answer questions such as whether certain parameters are connected to each other, what type of connection links them and how strong the connection is. The use of statistical analysis for research purposes has three aspects: (i) you need to know which statistical tests are required for the analysis of your data; (ii) you need to know how to work with the statistical program you are using; and (iii) you need to know how to interpret the results of the analyses. There are lots of ways to learn about these topics:
ToolsIn general you are advised to conduct statistical analysis on complete data sets, consisting of all available observations. The program SPSS is the most popular tool for this type of analysis in our faculty. More information about SPSS.If it is acceptable to carry out the analysis on combined or aggregate data (where groups of observations are replaced with summary statistics based on those observations), then you can often use a webcalculator. The website VassarStats: Website for Statistical Computation has an extensive collection of webcalculators for various statistical tests.
SupportFaculty staff and students who have basic skills in statistical analysis, but who have additional questions on how to use certain techniques in the context of their research, can contact Dr Gerben Mulder for help (g.mulder@vu.nl). |
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