Statistical methods for characterizing similarities and differences between semantic structures

Romney, A. Kimball; Moore, Carmella C.; Batchelder, William H.; Hsia, Ti-Lien

doi:10.1073/pnas.97.1.518

Cited by 52 publications

(43 citation statements)

References 18 publications

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“…Then the original matrices are compared to the sampling distribution to determine if a significant relationship exists between the matrices that is unlikely to have happened by chance (Borgatti et al, 2002) Authors' Pre-Proof Draft of paper for personal use. The QAP analysis in this study followed a two-step procedure recommended by Hruschka et al (2008) and Romney, Moore, Batchelder, and Hsia (2000). First a person-byperson (493x493) agreement matrix was calculated.…”

Section: Qap Resultsmentioning

confidence: 99%

FLASHPACKERS: An Emerging Sub-Culture?

Paris

2012

Annals of Tourism Research

117

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Copyright and moral rights to this thesis/research project are retained by the author and/or other copyright owners. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge. Any use of the thesis/research project for private study or research must be properly acknowledged with reference to the work's full bibliographic details.This thesis/research project may not be reproduced in any format or medium, or extensive quotations taken from it, or its content changed in any way, without first obtaining permission in writing from the copyright holder(s).If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated.Authors' Pre-Proof Draft of paper for personal use. Abstract:The purpose of this study is to examine the emerging flashpacker sub-culture in relation to the backpacker culture. Cultural Consensus Analysis is employed to examine the potential cultural divergence between flashpackers and non-flashpackers. A mixed-mode dual-frame sampling procedure was employed for data collection, as surveys were administered through Facebook backpacker-groups and in hostels in Cairns, Australia. The results indicate that flashpacker and non-flashpacker groups have a shared cultural understanding of backpacking. In addition to the conceptual clarity of the emerging flashpacker, this study also provides some interesting insights into contemporary backpacker culture and the continuing convergence of physical travel with information and communication technologies.

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Section: Qap Resultsmentioning

confidence: 99%

FLASHPACKERS: An Emerging Sub-Culture?

Paris

2012

Annals of Tourism Research

117

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“…In order to answer these remaining questions, we used the QAP Linear Regression Model to test the hypothesis that there are no systematic factors that contribute to the level of similarity between individuals. Hruschka et al (2008) and Paris (2012) applied the test originally described by Romney et al (2000).…”

Section: Resultsmentioning

confidence: 99%

“…We broke the study sample into two a-priori groups based on the nationalities of the respondents: Asia and Australasia. The QAP analysis in this study followed the procedure recommended by Hruschka, Sibley, Kalim, and Edmonds (2008), Romney, Moore, Batchelder, and Hsia (2000) and Paris (2012) which includes two steps. The first step was to prepare the data matrices, and the second step was to apply a QAP linear regression model to those matrices.…”

Section: Methodsmentioning

confidence: 99%

A comparison between Asian and Australasia backpackers using cultural consensus analysis

Paris

Musa

Thirumoorthi

2014

Current Issues in Tourism

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Copyright and moral rights to this thesis/research project are retained by the author and/or other copyright owners. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge. Any use of the thesis/research project for private study or research must be properly acknowledged with reference to the work's full bibliographic details.This thesis/research project may not be reproduced in any format or medium, or extensive quotations taken from it, or its content changed in any way, without first obtaining permission in writing from the copyright holder(s).If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated.Authors' Pre-Print Draft of paper for personal use. A Comparison between Asian and Australasia Backpackers Using Cultural Consensus AnalysisCody AbstractThis study tests the differences in the shared understanding of the backpacker cultural domain between two groups: backpackers from Australasia and backpackers from Asian countries. A total of 256 backpackers responded to a questionnaire administered in Kuala Lumpur, Bangkok and Krabi Province (Thailand). Cultural consensus analysis (CCA) guided the data analysis, to identify the shared values and the differences in the backpacker culture of the two groups. The findings revealed that while the two groups share some of the backpacker cultural values, some other values are distinctively different from one another. The study provides the first empirical evidence of the differences in backpacking culture between the two groups using CCA. Based on the study findings, we propose some marketing and managerial implications.

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“…The 210-by-77 data table was subjected to Principal Components Analysis (PCA). Here we follow [21] who applied PCA as the first stage of Cultural Consensus Analysis (CCA) [24]. Note that this is the 'Q mode' of PCA, in which subjects rather than items are the unit of analysis, so each component is a prototypical pattern of responses from an idealized subject.…”

Section: Discussionmentioning

confidence: 99%

Perceptual color spacing derived from maximum likelihood multidimensional scaling

et al. 2016

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The canonical application of multidimensional scaling (MDS) methods has been to color dissimilarities, visualizing these as distances in a low-dimensional space. Some questions that remain are how well the locations of stimuli in color space can be recovered when data are sparse, and how well can systematic individual variations in perceptual scaling be distinguished from stochastic noise? We collected triadic comparisons for saturated and desaturated sets of Natural Colour System (NCS) samples, each set forming an approximate hue circle. Maximum-Likelihood MDS was used to reconstruct the configuration of stimuli more accurately than the standard 'vote-count' approach. Individual departures from the consensus response pattern were minor, but repeated across stimulus sets, and identifiable as variations in the salience of color-space axes. No gender differences could be discerned, contrary to earlier results.

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Statistical methods for characterizing similarities and differences between semantic structures

Cited by 52 publications

References 18 publications

FLASHPACKERS: An Emerging Sub-Culture?

FLASHPACKERS: An Emerging Sub-Culture?

A comparison between Asian and Australasia backpackers using cultural consensus analysis

Perceptual color spacing derived from maximum likelihood multidimensional scaling

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