Descriptive Statistical Analysis

tekijä: Tanja Tuulikki Välisalo Viimeisin muutos tiistai 09. maaliskuuta 2010, 14.33


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Common features of quantitative analysis are graphical representations of statistically analysed data. You use descriptive statistical analysis to indicate, for example, the quantities, frequencies, distributions and classifications of phenomena. This form of analysis often forms a basis for a more detailed analysis of the phenomena, such as correlation or causality analysis. This form of analysis requires you to know the basic concepts of the various methods of quantitative analysis, for example, variables, statistics, measurement scales, distributions, deviations and tabulations, and how to calculate them.

Read more on descriptive statistical analysis from the links below:

Torchim, William M., 2006. Descriptive Statistics. The Research Methods Knowledge Base, 2nd Edition.

Dallal, Gerald E. The Little Handbook of Statistical Practice.

Experiment Resources, 2008. Statistics Tutorial. Experiment Resources.

David Line et al. Online Statistics: An Interactive Multimedia Course of Study. University of Houston.

Statistics. Wikipedia, The Free Encyclopedia.

Get to know research examples, which are conducted with descriptive statistical analysis:

Nieminen, Lea, 2007. A Complex Case. A Morphosyntatic Approach to Complexity in Early Child Language. Jyväskylä: University of Jyväskylä. (pdf)