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RESEARCH PROPOSAL - Faculty of Built Environment - Universiti ...

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12. Research MethodThis study aims to investigate the correlation between architecture student personality andtheir perception toward the physical design <strong>of</strong> studio environment in fulfilling their privacyneed in architectural educational studies. It will explore the impact <strong>of</strong> studio’s spatialcharacteristics onto different students through the lenses <strong>of</strong> student personality pr<strong>of</strong>iletypes. Student bahaviour will be examined under environmental psychology perspectiverelated to the person-environment congruence, privacy, personal space, territories, andcrowding. Student perception <strong>of</strong> studio design is thus revealing those design features thatsatisfy their privacy needs to perform their design works pr<strong>of</strong>iciently.This study will utilize the mixed methods sequential explanatory design for the purpose <strong>of</strong>data collection. The mixed methods sequential explanatory approach mainly consists <strong>of</strong>two particular stages: quantitative followed by the qualitative phase (Tashakkori & Teddlie,1998; Creswell, 2003, 2005).Figure 3: The Mixed-Methods Sequential Explanatory DesignFirst Phase:Quantitative Data1. Surveys (Questionnaires)Second Phase:Qualitative Data1. Focus Group InterviewsResultsConclusion based onmixing both qualitative andquantitative dataThe mixed-methods sequential explanatory design consists <strong>of</strong> two distinct phases:Quantitative followed by qualitative.This design collects and analyzes the quantitative data at the very first stage. Quantitativedata in this stage is collected through questionnaires surveys. Data regarding students’personality pr<strong>of</strong>ile types can be acquired by Myers-Briggs Type Indicator (MBTI).Students’ privacy preference will employ Pedersen’s Six States <strong>of</strong> Privacy questionnaires.Both questionnaires will be analyzed using SPSS s<strong>of</strong>tware for inferential statistic analysis.19

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