Experts’ Opinion on the Validation of Socio-Environmental Design Factors (SEDeF) Model as a Residential Neighbourhood Crime Prevention Technique in Nigeria

• Authors: Olajide Sunday Emmanuel , Lizam Mohd
• Languages of publication: EN

Abstracts

EN

This article centres on validating a proposed model, socio-environmental design factors (SEDeF) meant to complement the penal system in the area of combating residential neighbourhood crime within the Nigerian residential estates. The research sought experts’ opinion on the desirability and sustainability of the model. Purposive and snow-ball sampling methods were adopted to administer 100 sets of questionnaire out of which 62 were considered usable for the analysis after data screening. SPSS and SEM-AMOS were the key analytical tools adopted to conduct the reliability test, normality test, cumulative mean, exploratory factor analysis (EFA) and the measurement model. The results of the analysis showed that, from the perspectives of the experts, the model is desirable and sustainable for the purpose for which it is proposed (Neighbourhood crime control). The model, if tenaciously implemented is capable of boosting housing values/investment, improve national economy and ensure civic and serene residential neighbourhood.

Keywords

EN

experts’ opinion; measurement model; residential neighbourhood crime; SEDeF model; validation

• Publisher: Altezoro s.r.o. (Slovak Republic) and Publishing Center "Dialog" (Ukraine)
• Journal: Path of Science
• Year: 2017
• Volume: 3
• Issue: 8
• Pages: 2015-2023

Dates

published

2017-08-26

Contributors

author

Olajide Sunday Emmanuel

• Universiti Tun Hussein Onn Malaysia

author

Lizam Mohd

• Universiti Tun Hussein Onn Malaysia

References

• Agbola T. (1997). The Architecture of Fear: Urban Design and Construction Response to Urban Violence in Lagos, Nigeria. Ibadan: IFRA, ABB.
• Agunbiade, M. E. (2012). Land Administration for Housing Production (Doctoral thesis). Retrieved from http://www.csdila.unimelb.edu.au/publication/theses/Muyiwa_LandAdministrationforhousingproduction.pdf
• Awang, Z. (2015). SEM made simple: a gentle approach to learning structural equation modeling. Selangor: MPWS Rich Publication.
• Awang, Z. (2014). A Handbook on Structural Equation Modeling. Selangor: MPWS Rich Publication.
• Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656. doi: 10.1086/209376
• Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological bulletin, 107(2), 238–246. doi: 10.1037//0033-2909.107.2.238
• Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. doi: 10.1037/0033-2909.88.3.588
• Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258. doi: 10.1177/0049124192021002005
• Cozens, P., Hillier, D., & Prescott, G. (2001). Crime and the design of residential property – exploring the theoretical background – Part 1. Property management, 19(2), 136–164. doi: 10.1108/02637470110388235
• David, M. & Sutton, C. (2011). Social Research: An Introduction. London: SAGE Publications.
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi: 10.2307/3151312
• Gibbons, S. (2004). The costs of urban property crime*. The Economic Journal, 114(499), F441–F463. doi: 10.1111/j.1468-0297.2004.00254.x
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139–152. doi: 10.2753/mtp1069-6679190202
• Kaiser, H. F. (1970). A second generation little jiffy. Psychometrika, 35(4), 401–415. doi: 10.1007/bf02291817
• Marsh, H. W., and Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First-and higher order factor models and their invariance across groups. Psychological bulletin, 97(3), 562–582. doi: 10.1037/0033-2909.97.3.562
• Marzbali, M. H., Abdullah, A., Ignatius, J., & Tilaki, M. J. M. (2016). Examining the effects of crime prevention through environmental design (CPTED) on Residential Burglary. International Journal of Law, Crime and Justice, 46 (1), 86–102. doi: 10.1016/j.ijlcj.2016.04.001
• Marzbali, M. H., Abdullah, A., Razak, N. A., & Tilaki, M. J. M. (2012). Validating crime prevention through environmental design construct through checklist using structural equation modelling. International Journal of Law, Crime and Justice, 40(2), 82–99. doi: 10.1016/j.ijlcj.2011.08.005
• Nor, A. R. M. (2009). Statistical Methods in Research. Petaling Jaya: Pearson Malaysia Sdn. Bhd.
• Olajide, S. E., Lizam, M., & Adewole A. (2015). Towards a Crime-free Housing: CPTED versus CPSD. Journal of Environment and Earth Science, 5(18), 53–63.
• Pallant, J. (2010). SPSS Survival Manual (4th ed.). Maidenhead: McGraw-Hill.
• Ross, A., Duckworth, K., Smith, D. J., Wyness, G., & Schoon, I. (2011). Prevention and Reduction: A review of strategies for intervening early to prevent or reduce youth crime and anti-social behaviour (Research Report DFE-RR111). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/182548/DFE-RR111.pdf
• Sutton, A., Cherney, A., & White, R. (2013). Crime prevention: Principles, perspectives and practices. Port Melbourne; New York: Cambridge University Press.
• The John Howard Society of Alberta. (1995). Crime Prevention Through Social Development: A Literature Review. Retrieved July 1, 2017, from http://www.johnhoward.ab.ca/pub/old/pdf/C6.pdf
• Van Dijk, J. & de Waard, J. (1991). A two dimensional typology of crime prevention projects: With a Bibliography. Criminal Justice Abstracts, 23, 483–503.
• Waller, I., & Weiler, D. (1985). Crime prevention through social development. Ottawa: Canadian Council on Social Development.

Identifiers

DOI

10.22178/pos.25-9