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A note on quantitative data analysis: for Housing Studies students

A note on quantitative data analysis: for Housing Studies students   Highlight 4 main ideas of the following quantitative data analysis methods in Housing Studies. Also provide a few simple examples to illustrate the 4 main ideas of each of these methods: 1.     descriptive statistics 2.     regression analysis 3.     inferential statistics   In Housing Studies, these three methods answer different questions: descriptive statistics describe the sample, regression analysis models relationships and predicts outcomes, and inferential statistics test whether sample-based findings can be generalized to a wider housing population. Descriptive and inferential methods are commonly combined in housing research, while regression is often used as an inferential tool for housing prices, satisfaction, and housing-choice outcomes. 1. Descriptive statistics Descriptive statistics summarize the main features of housing data wit...
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Housing dissertation supervision meeting 1 2026-2027

Housing dissertation supervision meeting 1 2026-2027 To discuss topic and guidance to do proposal -about background, direction, interests, areas, relevance to work, accessibility of data, time management etc. Constructing research questions. Sharing of how research in practice. ** An example of a proposal with research objectives and research questions; for illustration in the first meeting . ** An example of how to derive research issues, research objective and research question statements from a dissertation introduction draft . ** Using perplexity to derive a set of research objectives and questions from a concrete research theme . ** Asking perplexity to refine the content of a research methodology draft; also on the summary table of a research methodology . ** a collection of notes on the Socratic Method. ** A brief note on research methods topics: I and II . ** a note on research methodology and strategy: some examples . Students: please note:  a Research Proposal (10%) – a...
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MBA Research Project [MGTM05] class Top up 69/ Proj only 70 (F2F/OL)/ Full 23 (Blended/F2F), Oct 2026-Mar 2027: teaching plan

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MBA Research Project [MGTM05] class  Top up 69/ Proj only 70 (F2F/OL)/ Full 23  (Blended/F2F) , Oct 2026-Mar 2027: teaching plan       Due dates Synopsis Form:  14 January 2027 Proposal:  4 March 2027 Dissertation with 1 module Dissertation:  2 July 2027     HK Teaching Plan: mainly hybrid class Stream 1 Session Lecture Date (All online sessions) Topics 1 Oct 26-2026 (Monday): 19:00-21:30   1) A briefing on the module guide I 2) review proposal and report samples (hybrid) session 1   * HK U thesis portal and eBook collections: vdoc.pub * on the differences between a dissertation project and a consulting project . * On MBA program design and dissertation project requirements . * on the mentoring and coaching roles of the dissertation project supervisor . * Types of table of contents templates * Module guide info on dissertation report content . ( a diagrammatic note )/ also on the AI-generated table of content template based...
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