Search for efficient complete and planned missing data designs for analysis of change

Volume: 48, Issue: 3, Pages: 1047 - 1061
Published: Jul 14, 2015
Abstract
The design of longitudinal data collection is an essential component of any study of change. A well-designed study will maximize the efficiency of statistical tests and minimize the cost of available resources (e.g., budget). Two families of designs have been used to collect longitudinal data: complete data (CD) and planned missing (PM) designs. This article proposes a systematic and flexible procedure named SEEDMC (SEarch for Efficient Designs...
Paper Details
Title
Search for efficient complete and planned missing data designs for analysis of change
Published Date
Jul 14, 2015
Volume
48
Issue
3
Pages
1047 - 1061
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.