Methods for missing data analysis

Author: Chief. Ass. Prof. Deyan Lazarov, (Burgas Free University)

Keywords: missing data, missing data mechanisms, single value imputation, multiple imputation

This publication is a first part of the biggest research, which should be presented in two publications, concerning missing data analysis in empirical data base. In this publication are mentioned the reasons and are presented the mechanisms of missing data. The author shows implementation, advantages and disadvantages of the simple methods for coping like listwise and pairwise deletion and other methods for single and multiple imputations.

Bulgarian Download Bulgariаn

More articles

Competitive environment on the hotel services market in Bulgaria: status quo and specifics

The main aim of the European concept for tourism is the promotion of the competitiveness in a long-term perspective because…

Exploring the impact of economic crisis on sales - Theoretical and Practical Aspects

This article examines the impact of the economic crisis on sales. The study is presented in two parts. The first part…

Search engine optimization and search engine marketing (SEO / SEM) - effective ways of positioning the organization on the Internet

This article discusses marketing strategies for search engines, whose goal is to achieve effective positioning of websites…