Regression analysis is one tool for evaluating customer satisfaction measurement. Non-response is problematic for multiple regression analysis because most software discards all of a respondent’s data when it encounters a missing value. This article discusses options for coping with item non-response in regression runs, comparing run results based on a real data set.
Drawing from his experience gathering data in far-flung and often remote locales, the author offers several guidelines and tips for making sure that the contractors and subcontractors you work with for overseas data collection employ rigorous and verifiable data collection methods.
This article examines the use and analysis of in-depth conversations, drawing distinctions between research conversations and research interviews. The former is designed to produce and uncover findings not obtainable through the latter.
Data warehousing has taken market segmentation analysis to greater, more desirable levels, though it is often used with companies with thousands - even millions - of customers. This article discusses the Q-Q matrix as a segmentation tool for small-to-medium business-to-business companies, including how to use the matrix.
This article describes the use of vulnerability analysis to show the relationship between an individual attribute and a dependent measure when analyzing data from customer satisfaction surveys. The author presents four ways in which vulnerability analysis goes beyond simply using a graph showing each attribute's importance and satisfaction levels in a simple two-dimensional scatterplot.
Findings from the annual Confirmit Market Research Software Survey show that firms feel they aren’t getting everything they need from existing software. As a result, they are developing their own programs and actively open to switching to those of other providers.
This article responds to an article by Doug Grisaffe's, published in this month’s Quirk’s Marketing Research Review, in which Grisaffe critiqued the author’s views about the strengths of using self-stated importance and the weaknesses of using multiple regression analysis to measure customer satisfaction.
The quality of a market analysis is judged by its validity. Unfortunately, data from non-probability, informal sample surveys lack measurable confidence. This article demonstrates an easy method of calculating the sample size needed for a specific market survey or experiment.
Michael Feehan, Cristina Ilangakoon and Penny Mesure
Using examples of Net Promoter Score data from two studies - one of patients assessing their primary care physicians and the other from the consumer electronics industry - the authors explore strategies for extracting insights from large qualitative data sets.
This first of two articles about analysis methods examines key driver analysis, including single dependent variable, multiple dependent variables, non-linearity, artificial intelligence, recent advances and tools.