Dissertation/Thesis Abstract

Repeated measures modeling in the business environment
by Grogan, Tristan, M.S., California State University, Long Beach, 2011, 35; 1493124
Abstract (Summary)

Several marketing applications of statistics require repeated measures modeling techniques. For example, to quantify the effectiveness of a new advertising campaign, stores may be measured repeatedly over time. Failure to correctly specify a repeated measures design can lead to artificially low p-values and incorrect conclusions.

This project will analyze several different repeated measure designs using real data from a consumer packaged goods (CPG) beverage company. Three business questions will be proposed and answered by this paper. Linear mixed models and generalized mixed models will be utilized.

Indexing (document details)
Advisor: Suaray, Kagba
Commitee:
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 49/05M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Statistics
Keywords:
Publication Number: 1493124
ISBN: 978-1-124-62285-9
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