The ahpsurvey package provides a workflow for researchers to quantify and visualise inconsistent pairwise comparisons that aids researchers in improving the AHP design and adopting appropriate analytical methods for the AHP.Ī gentle introduction of the AHP survey methodology: Rating Censoring observations with inconsistency is likely to result in a greatly decreased statistical power of the sample, or may lead to unrepresentative samples and nonresponse bias. Even if an electronic version that allows immediate feedback of consistency ratio is used, respondents asked to repeatedly change their answers are likely to be mentally fatigued. Inconsistent choices are also prevalent in AHP conducted in the survey format, where it is impractical for enumerators to identify and correct for inconsistent responses on the spot when the surveys are delivered in paper format. Hitherto, there are no good ways of computing and visualising the heterogeneity amongst AHP decision-makers, which is common in survey data. However, researchers looking to adopt the AHP in the analysis of survey data often have to manually reformat their data, sometimes even involving dragging and copying across Excel spreadsheets, which is painstaking and prone to human error. The tools currently available in R for the analysis of AHP data, such as the packages ahp by Glur (2018) and Prize by Dargahi (2016), are excellent tools for performing the AHP at a small scale and offers are excellent in terms of interactivity, user-friendliness, and for comparing alternatives. While most applications of the AHP are focused on implementation at the individual or small-scale, the AHP was increasingly adopted in survey designs, which involve a large number of decision-makers and a great deal of heterogeneity in responses. He is co-author with Robert Dyer of An Analytic Approach to Marketing Decisions (Prentice-Hall, 1991) and is co-developer with Thomas Saaty of Expert Choice.The Analytic Hierarchy Process (AHP), introduced by Saaty (1987), is a versatile multi-criteria decision-making tool that allows individuals to rationally weigh attributes and evaluate alternatives presented to them. His articles have appeared in journals such as Decision Science, European Journal of Operational Research, Telematics and Informatics, IEEE Transactions on Reliability, and the Journal of the American Statistical Association. His teaching and ersearch specialties are in the fields of multi criteria decision making, operations management, statistics, cost benefit analysis, employee evaluation, group decision making, conflict resolution and strategic planning. Forman is Professor of Management Science at the George Washington University. He is co-author with Ernest Forman of An Analytic Approach to Marketing Decisions, (Prentice-Hall, 1991). His articles have appeared in the Journal of Marketing, Journal of Marketing Research, Journal of Consumer Research, Journal of Marketing and Public Policy and the Journal of Advertising Research among others. with a specialization marketing from the University of Maryland. His teaching and research specialties are in the fields of consumer psychology, marketing research and marketing decision support systems. Dyer is Associate Dean and Professor of Business Administration at the George Washington University.
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