Читать книгу Analysing Quantitative Data - Raymond A Kent - Страница 28

In this chapter you will learn:

 how datasets are prepared, ready for the next stages of data analysis;

 that all data need to be checked, edited, coded and assembled before any further processes can take place;

 that the transformation of some of the properties in a dataset may involve one or more of a number of activities, including, for variables, regrouping values on a nominal or ordered category measure to create fewer categories, creating class intervals from metric measures, computing totals or other scores from combinations of several variables, treating groups of variables as a multiple response question, upgrading or downgrading measures, handling missing values and ‘Don’t know’ responses, or coding open-ended questions;

 that, for set memberships, transformations may entail creating crisp sets or fuzzy sets from existing variables;

 how survey analysis software like SPSS can be used for assembling data and assisting in data transformations;

 that many of the codes used in the original alcohol marketing dataset were illogical or inconsistent and many data transformations were needed before analysis could begin.