Abstract
Public housing inhabitants’ experiences were harnessed through a survey in order to ascertain factors that motivated user-initiated transformation. By extension, inhabitants’ spatial desires that appear to be linked with their root were established. In achieving this, statistical methods consisting of univariate as well as inferential statistical analysis were used to establish the significant impact of sociocultural, socio-economic and socio-physical dimensions in the transformations process. This was based on information obtained from the distributions of questionnaire forms through a random sampling conducted in a purposive study of selected public housings across the region. Finally, the significant factors as experienced by the inhabitants during the process of public housing transformation were revealed. The outcome relates inhabitant link with their root as reflected in the motivating factors.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Anderson JC, Gerbing DW (1992) Assumptions and comparative strengths of the two-step approach comment on Fornell and Yi. Sociol Methods Res 20(3):321–333
Balian ES (1994) The graduate research guidebook: a practical approach to doctoral/masters research. University Press of America, Lanham
Benjamin WJ, White K (1993) The development and validation of a self-report measure of school skills. Educ Psychol Measur 53(2):541–549
Bentler PM (1990) Comparative fit indexes in structural models. Psychol Bull 107(2):238
Bride BE (2004) The impact of providing psychosocial services to traumatized populations. Stress Trauma Crisis 7(1):29–46
Browne MW, Cudeck R (1992) Alternative ways of assessing model fit. Sociol Methods Res 21(2):230–258
Byrne BM (2001) Structural equation modeling with AMOS, EQS, and LISREL: comparative approaches to testing for the factorial validity of a measuring instrument. Int J Testing 1(1):55–86
Byrne BM (2013) Structural equation modeling with AMOS: basic concepts, applications, and programming. Routledge, Abingdon
Chau PY, Hu PJH (2001) Information technology acceptance by individual professionals: a model comparison approach. Decis Sci 32(4):699–719
Chinda T, Mohamed S (2008) Structural equation model of construction safety culture. Eng Const Arch Manag 15(2):114–131
Chow WS, Chan LS (2008) Social network, social trust and shared goals in organizational knowledge sharing. Inf Manag 45(7):458–465
Cottrell RR, McKenzie JF (2005) Health promotion and educational research methods: using the five chapter thesis? Dissertation model. Jones and Bartlett Publishers, Sudbury
Creswell JW (2012) Educational research planning, conducting and evaluating quantitative and qualitative research, 4th edn. Pearson Education Inc., Boston
Cronbach LJ (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16(3):297–334
DeVellis RF (2011) Scale development: theory and applications, vol 26. Sage Publications, New York
Field A (2013) Discovering statistics using IBM SPSS statistics. Sage, New York
Hair JF Jr, Anderson RE, Tatham RL, Black WC (1995) Multivariate data analysis with readings. Prentice Hall, New Jersey, pp 14, 130–133
Hoe SL (2008) Issues and procedures in adopting structural equation modeling technique. J Appl Quant Methods 3(1):76–83
Holmes-Smith P, Coote L, Cunnigham E (2006) Structural equation modelling: from the fundamental to advance topics. Streams, Melbourne
Hooper D, Coughlan J, Mullen MH (2008) Structural equation modelling: guidelines for determining model fit. J Bus Res Methods 6(1):53–60
Hox J, Bechger T (1998) An introduction to the structural equation modeling. Fam Sci Rev 11:354–373
Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J 6(1):1–55
Jöreskog KG (1999) How large can a standardized coefficient be. The help-file of the LISREL program
Juby CL (2005) Using a structural equation model to examine child maltreatment potential across ecological systems in a population of families in poverty. The University of Texas, Arlington
Kaplan R, Kaplan S (1989) The experience of nature: a psychological perspective. CUP Archive, Cambridge
Keeves JP (1988) Educational research methodology and measurement: an international handbook. Pergamon Press, Sydney
Khan TH (2008) Living with transformation: a study of self-built houses in Dhaka. University of Hong Kong, Hong Kong
Kumar R (2010) Research methodology: a step-by-step guide for beginners. Sage Publications Limited, New York
Lansing JB, Kish L (1957) Family life cycle as an independent variable. Am Sociol Rev 22:L512–L519
MacCallum RC, Browne MW, Sugawara HM (1996) Power analysis and determination of sample size for covariance structure modeling. Psychol Methods 1(2):130
Nunnally JC, Bernstein IH, Berge JMF (1967) Psychometric theory, vol 226. McGraw-Hill, New York
Pallant J (2005) SPSS survival manual: a step by step guide to data analysis using SPSS for windows (version 12). Open University Press, Berkshire
Pedhazur EJ, Schmelkin LP (2013) Measurement, design, and analysis: an integrated approach. Psychology Press, Abingdon
Pugesek BH, Tomer A, Eye A (2003) Structural equation modeling: applications in ecological and evolutionary biology. Cambridge University Press, Cambridge
Rapoport A (2000) Theory, culture and housing. Housing Theory Soc 17(4):145–165
Rašula J, Bosilj Vukšić V, Indihar Štemberger M (2012) The impact of knowledge management on organisational performance. Econ Bus Rev 14(2):147–168
Sarros JC, Gray J, Densten IL, Cooper B (2005) The organizational culture profile revisited and revised: an Australian perspective. Aust J Manage 30(1):159–182
Seek N (1983) Adjusting housing consumption: improve or move. Urban Stud 20(4):455–469
Steiger JH (2007) Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual differences. 42(5): 893-898
Steiger JH, Lind JC (1980) Statistically based tests for the number of common factors. In: Proceedings of the 1980 annual meeting of the Psychometric Society, Iowa City, IA
Stevens JP (2012) Applied multivariate statistics for the social sciences. Routledge, Abingdon
Tan WCK (2004) Practical research methods, vol 2. Prentice Hall, Singapore
Tipple G (2000) Extending themselves: user initiated transformations of government-built housing in developing countries. Liverpool University Press, Liverpool
Udin AB (2011) A study to investigate the relationships of ergonomics risk factors, health symptoms and job strain in high skilled training institutes. Ph.D. thesis, Universiti Teknologi Malaysia
Vagg PR, Spielberger CD (1999) The job stress survey: assessing perceived severity and frequency of occurrence of generic sources of stress in the workplace. J Occup Health Psychol 4(3):288–292
Wheaton B (1987) Assessment of fit in over identified models with latent variables. Sociol Methods Res 16(1):118–154
Zainudin HA (2012) A handbook on structural equation modelling, 4th edn. University Teknologi Mara, Kelantan, Malaysia, Centre for Graduate Studies (CGS)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Isah, A.D. (2016). Search for Public Housing Inhabitants’ Link with the Root. In: Urban Public Housing in Northern Nigeria. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-40192-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-40192-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40191-1
Online ISBN: 978-3-319-40192-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)