Perception of Housing Quality Scale

2016 ◽  
Author(s):  
Federica Caffaro ◽  
Dario Galati ◽  
Michele Roccato
2004 ◽  
Author(s):  
Rebecca C. Fauth ◽  
Tama Leventhal ◽  
Jeanne Brooks-Gunn

2014 ◽  
Vol 91 (2) ◽  
pp. 242-255 ◽  
Author(s):  
Carol E. Adair ◽  
Brianna Kopp ◽  
Jennifer Lavoie ◽  
Jino Distasio ◽  
Stephen W. Hwang ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
F. K. Bondinuba ◽  
S. G. Nimako ◽  
N. K. Karley

The researchers developed an instrument for measuring student housing quality (SHQ) in Higher Institutions of Learning (HIL) in Ghana. The paper sought to validate the student housing quality scale (SHOQUAL) through factor analysis approach. 700 respondents were sampled from two public HIL in Ghana in a cross-sectional survey that used a self-administered structured questionnaire for data collection. Confirmatory factor fnalysis (CFA) was conducted to detect the underlying latent variables that significantly determine SHQ in Ghanaian HIL. The findings indicate that four emerged SHQ dimensions relevant to the research context were labelled as follows: core facility quality, enabling facility quality, support facility quality, and cost of housing. The constructs in the derived model possess high reliability and validity. Student housing service providers could conveniently use the derived instrument items for measuring SHQ in HIL. Implications are discussed and limitations are noted. The paper contributes to the literature in the areas of models of service quality in student housing management in HIL.


2006 ◽  
Author(s):  
Hyeryeon Yi ◽  
Kyungrim Shin ◽  
Chol Shin
Keyword(s):  

2020 ◽  
Author(s):  
Mar Zulueta Egea ◽  
María Prieto-Ursúa ◽  
Laura Bermejo Toro

2012 ◽  
Vol 16 (1) ◽  
Author(s):  
Janet C. Moore

Encouraging continuous improvement in the quality, scale and breadth of online education, the Sloan Consortium invites practitioners to share effective practices. This report synthesizes effective practices submitted by Sloan-C members to the online collection at http://www.sloanconsortium.org/effective as of December 2011. The synthesis includes links to detailed postings about practices, including the authors and their institutions.


2020 ◽  
Vol 6 (1) ◽  
pp. 109
Author(s):  
Massoomeh Hedayati ◽  
Aldrin Abdullah ◽  
Mohammad Javad Maghsoodi Tilaki

There is continuous debate on the impact of house quality on residents’ health and well-being. Good living environment improves health, and fear of crime is recognised as a mediator in the relationship between physical environment and health. Since minimal studies have investigated the relationship, this study aims to examine the impact of the house quality on fear of crime and health. A total of 230 households from a residential neighbourhood in Malaysia participated in the study. Using structural equation modelling, the findings indicate that housing quality and fear of crime can account for a proportion of the variance in residents’ self-rated health. However, there is no significant relationship between housing quality and fear of crime. Results also show that fear of crime does not mediate the relationship between housing quality and health. This study suggests that the environment-fear relationship should be re-examined theoretically.  


2020 ◽  
Vol 24 (1) ◽  
pp. 139-152 ◽  
Author(s):  
John Armbrecht

This study focuses on the perceived quality of participatory event experiences by addressing the following question: What are the important aspects of the event experience? The aim of this research is to develop and refine a scale to measure the quality of the event experience for runners at a participatory event. The objective is to combine, apply, test, and refine the existing scales to increase our understanding of the perceived quality of events among amateur running athletes. Both affective and cognitive dimensions are included in the scale. Based on seven dimensions and 36 items, a formal scale development process is adopted. The data consist of 1,923 observations collected during a participatory event with approximately 60,000 registered participants. The seven-factor model, including immersion, surprise, participation, fun, social aspects, hedonic aspects, and service quality, was gradually revised in favor of a four-factor solution: service quality, hedonic aspects, fun, and immersion. As a result, 73.1% of the variance is extracted. This study contributes to a refined scale measuring the perceived event quality of participatory events. Service quality accounts for more than half of the variance extracted. Researchers should continue to develop research on the critical experiential dimensions in an event context. Furthermore, the links between the constructs need attention. The results suggest that event organizers should evaluate their events and event portfolios based on the scale and take actions to increase the perceived quality of these events.


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