Determination of Customer Satisfaction in Conservative Concept Hotels by Ordinal Logistic Regression Analysis

Ordinal logistic regression.

©FSRH J Fam Plann Reprod Health Care 2008: 34(3) What is it? When a response variable has only two possible values (e.g. recurrence/not), binary logistic regression is commonly used to test or model the association between that response and a number of potential explanatory variables, with each association estimated in terms of an odds ratio (OR). Multinomial logistic regression is an extension...

A Logistic Regression Model of Customer Satisfaction of Airline

Evaluation of customer satisfaction differs from one study to another. Studies have been differing with their focus and coverage. Most of studies focused on evaluating factors influencing customer satisfaction or associate customer satisfaction and quality of services. This paper used logistic regression to develop customer satisfaction model for Precision Air. Five dimensions or variables have...

[Ordinal logistic regression in epidemiological studies].

Ordinal logistic regression models have been developed for analysis of epidemiological studies. However, the adequacy of such models for adjustment has so far received little attention. In this article, we reviewed the most important ordinal regression models and common approaches used to verify goodness-of-fit, using R or Stata programs. We performed formal and graphical analyses to compare or...

Research on the Influential Factors of Customer Satisfaction and Post- Purchase Behavior for Hotels: The Multilayer Perceptrons Neural Network Approach and Logistic Regression Analysis

The majority of previous studies have used logistic regression analysis(LRA) as an analysis tool to evaluate the impact of service attributes on customer satisfaction and post-purchase behavior. However, LRA assumes that a linear relation exists between the input and output variables, and that variables are normally distributed, which places significant limitations on the analysis. This study u...

Logistic Regression for Multivariate Longitudinal Ordinal Data