Research Reference manual

Data Analysis and Interpretation

Data analysis is the process of transforming raw data into usable information , often presented in the form of a published analytical article , in to add value to the statistical output . While data interpretation refers to the Application of statistical procedures to analyze specific observed or assumed facts from a particular study

Content Analysis , coding , and themes

Content analysis involves creating categories of data and developing rules for coding data into these categories . Content analysis views data as representations not of physical events but of texts , images and

br expressions that are created to be seen , read , interpreted , and acted on for their meanings , and must therefore be analyzed with such uses in mind (Krippendorff , 2004

Data Analysis Spiral

Creswell discussed the spiral of analysis ' where he detailed the various iterations of qualitative research . He begins with the gathering of data , and moves into data management , the importance of writing reading , reflecting , and memoing , then on to the art of describing classifying , and interpreting , categorizing , and comparing , and finally representing and visualizing the data

Examples : note taking when gathering data , sort data by themes as a way of data management

Descriptive and Inferential Statistics

Descriptive statistics are used to describe the main features of a collection of HYPERLINK "http /en .wikipedia .org /wiki /Data " \o "Data data in quantitative terms . Descriptive statistics aim to quantitatively summarize a data set , rather than being used to support inferential statements about the HYPERLINK "http /en .wikipedia .org /wiki /Statistical_population " \o...