Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data
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Beschreibung
This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book presents a series of statistical techniques adopted to analyze data from real situations where customer satisfaction surveys were performed.
The aim is to give a simple guide of the variety of analysis that can be performed when analyzing data from sample surveys: starting from latent variable models to heterogeneity in satisfaction and also introducing some testing methods for comparing different customers. The book also discusses the construction of composite indicators including different benchmarks of satisfaction. Finally, some rank-based procedures for analyzing survey data are also shown.
This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book presents a series of statistical techniques adopted to analyze data from real situations where customer satisfaction surveys were performed.
The aim is to give a simple guide of the variety of analysis that can be performed when analyzing data from sample surveys: starting from latent variable models to heterogeneity in satisfaction and also introducing some testing methods for comparing different customers. The book also discusses the construction of composite indicators including different benchmarks of satisfaction. Finally, some rank-based procedures for analyzing survey data are also shown.
Presents statistical techniques used to analyze data from real situations where customer satisfaction surveys were performed Explains how to construct a nonparametric composite indicator to include different benchmarks of satisfaction Describes rank-based procedures for analyzing survey data using R
Autor*in
Rosa Arboretti
Themen in »Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data«
Parametric Statistics Nonparametric Statistics Sample Surveys Customer Satisfaction Customer Satisfaction Heterogeneity CUB Model Multivariate Populations Composite Indicators Satisfaction Profiles Multivariate Rankings