The effects of place of residence on tourist motivations: a revised case of the Urban Quadrangle of Minho

This study seeks to capture the underlying reasons for the travel decisions of residents of the Urban Quadrangle of Minho (composed of the municipalities of Barcelos, Braga, Guimarães, and Vila Nova de Famalicão). The aim of the research is three-fold. Firstly, the study identifies the push and pull motivational factors of residents of the Urban Quadrangle of Minho. Secondly, the study examines whether there are differences between the tourist motivations of residents of the four different municipalities of the Urban Quadrangle. Finally, the study investigates if there are any differences in the motivations of those who choose national and international destinations. The methodology comprises quantitative research based on questionnaires administered in 2012 to residents of the Urban Quadrangle of Minho. A principal component factor analysis is employed to identify six push and seven pull factors. The comparison of the mean scores of these factors across municipalities and across residents that choose national and international destinations reveals that the most valued and least valued factors are common to all four municipalities and both groups of residents (that choose national and international destinations).

An SPSS R-Menu for Ordinal Factor Analysis

Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calcula- tions. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It o ers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper o ers an SPSS dialog written in the R programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

Tourism impacts of a portuguese world heritage historic center: residents’ perspectives

The aim of this study is twofold. First, the study analyzes local community perspectives of the importance of the WHS classification of the historic center of Évora. Second, the study analyzes local residents’ perceived tourism impacts on the municipality of Évora. The methodology comprises quantitative research based on a self-administered survey applied to convenience samples of local residents of Évora in the beginning of 2014. The main results reveal that local residents have a strongly positive perception of the WHS designation. With regard to the perceived tourism impacts, a principal component factor analysis delineated three positive and three negative tourism impacts. The comparison of the mean scores of these factors across residents that live near and far from the historic center reveals that the most valued and least valued factors are common to all groups of residents. Nevertheless, in terms of positive impacts, the residents that live near the historic center revealed higher means than the residents that live far from it, whereas in terms of negative impacts, the latter group revealed higher means than former group.