Application of Chi-Square and T-Test in Architectural Research Methods
[1]
Isiwele A. Joseph, Department of Architecture, Faculty of Environmental Studies, Ambrose Alli University, Ekpoma, Nigeria.
[2]
Aikpehae A. Moses, Department of Architecture, Faculty of Environmental Studies, Ambrose Alli University, Ekpoma, Nigeria.
[3]
Adamolekun M. Olusegun, Department of Architecture, Faculty of Environmental Studies, Ambrose Alli University, Ekpoma, Nigeria.
After data sorting, organizing and summarization, selecting and performing the most appropriate statistical analytic technique for testing and addressing the problem become next. Usually the method of analysis chosen will depend on the complicity of the research question as well as the level of measurement the data scores can be said to have attained with the constant variables. In this paper, two different methods of data analysis; the Chi-square and Student t-test, and their application in the field of architecture were discussed. Each of the tests was examined and its suitable uses stated with examples relevant to the field of architecture using secondary data. It was shown that each of the statistical methods has its unique application and can be used in the field of architecture. It is therefore recommended that architecture researchers and instructors take note and be equipped with the knowledge and application of these statistical analytical methods. This study therefore recommends the need for statistical methods in the field of architecture.
Chi-Square, Student “T Test”, Statistical Methods, Architecture, Research
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