## Quantitative and Statistical Methods in Planning

Course Code:
462620
Course Outline:

COURSE OBJECTIVES & CONTENT

The main objective of this course is to provide a statistical background that would help MSc Urban Planning students in their quantitative analysis be it in other courses in their major, in projects they may undertake during their study or in the future, or in their theses.

This will be achieved by introducing basic statistical background and concepts, as well as intermediate and advanced topics including multiple regression and Geo-statistical analyses. All topics will include hand-on exercises using SPSS statistical package to address issues pertaining to the urban planning profession.

The students will be given the chance to apply the quantitative and statistical methods and techniques they learned during the class in their fields of interests through full projects. These projects will include the development of carefully considered logical and quantitative argument by using their own data for description, estimation, comparison and explanation.

INTENDED LEARNING OUTCOMES (ILOs)

By the end of the class, students will be able:

1. To demonstrate an understanding of descriptive statistics, and which tests of significance are appropriate and how to carry them out; 20%
2. To apply One-way and Two-way  Analysis of Variance and interpret their results; 10%
3. To understand the principles and assumptions of multivariate-based analysis methods including multiple regression; 30%
4. To carry out a range of analyses using SPSS (t-test, chi-square, analysis of variance, correlation, simple and multiple regression) and interpret their results. 30%
5. To develop a practical understanding of the methods of modeling geo-spatial relationships among spatial and aspatial variables. 10%

 Item Description Percent Assignments 3 to 5 short-term assignments 20% Midterm Covers materials up to 8th or 10th week 20% Final Exam Project and presentation: 30% 60%: Written exam: 30%

TENTATIVE COURSE SCHEDULE

 Main Topic Subtopic No. of Weeks Introduction Course Outline Introduction 1 Week 20/01 – 26/ 01 Descriptive Statistics Introduction to Descriptive Statistics Frequency Distribution Graphical Representations Measures of Central Tendency 2 Weeks 27/01 – 09/02 Introduction to Probability and the Normal Distribution Probabilities & Discrete Distributions The Normal Probability Distribution Sampling Distribution 2 Weeks 10/02 – 23/02 Introduction to Experimental Research A Brief Introduction to Experimental Research Hypothesis Testing Type I and Type II Errors Samples and Populations Sampling Errors 2 Weeks 24/02 – 09/03 First Exam One-way and Two-way Analysis of Variance Within-groups Variance Between-groups Variance One-way ANOVA Two-way ANOVA 2 Weeks 10/03 – 23/03 Linear Regression Linear Regression Predicting from the Regression Line Correlation Coefficients Interpreting Correlation Coefficients 2 Weeks 24/03 – 06/04 Multiple Regression Partial Correlation Semi-partial Correlation Overlapping Variance Type I and Type II Errors in Multiple Regression 2 Weeks 07/04 – 20/04 A Brief Introduction to Geostatistical Analysis Fundamentals of Geo-statistical Analysis Selected applications of Geo-statistics using ArcGIS 2 Weeks 21/04 – 27/04 Project Presentations 1 Week 28/04 – 04/05 Final Exam

Textbook:

Moore, S. David; McCabe, P. George and Craig A. Craig (2009). Introduction to the Practice of the Statistics, Sixth Edition. W. H. Freeman and Company, New York.

ASSIGNMENTS

Descriptive Statistics Analysis (at least One assignment)

Students are to collect data and apply all descriptive statistics they will have already learned in the class. Data sets to be collected must be about urban planning issues.

Paper Review (at least Two assignments):

Students are to do at least two paper review assignments. In the first one, students will be required to summarize the descriptive statistics in THREE carefully selected journal articles from the students’ fields of interests within the urban planning major. In the second assignment, students are to review ONE full paper in which the author used multiple regression analysis.

In both assignments, students are to prepare power point presentations and share their results with their colleagues during the class.

Hints on Paper Review Assignments:

In these assignments students are expected to answer the following questions:

1. The purpose of this exercise is to enable you to become more familiar with the research in their fields, and to recognize the range of different statistics that are being used to answer research questions.
2. Find a research journal that focuses on some aspects of your field of interest.
3. Select a research article from the selected journal. Read through the abstract, and skim read the article. Write down the title of the article and the journal from which it came. Then, based upon your understanding of the abstract, write down the research question that you think the researchers were interested in answering. If you cannot determine the question from the title or by reading the abstract, examine the last paragraph of the introduction, just preceding the methods section, to see if the authors state the purpose of the investigation.
4. Examine the results section, and make a list of as many different statistics as you can identify. For example: Descriptive statistics and Inferential statistics including:
• Mean, Median, Mode, Max, Min…..etc.
• Results of one-way and two-way ANOVA
• Correlation
• The relations between the dependent variables and the independent variables and compare the final results with the research questions and hypotheses.
• Chi square
5. Write at least one sentence to describe the purpose of each statistical test employed in the research article; that is, explain what the statistical test is designed to do.
6. Explain why it was necessary to use the statistical test to answer the research question posed in the article.

FINAL PROJECT

Project Description:

As part of the class, you are required to work on your own project.  The project aims in the first place to give you the kind of insight and experience in realistic statistical practice that cannot be obtained in classroom lectures or short-term homework assignments. You are to pick a subject that interests you from the urban planning field, and to collect the required data, which can be either primary or secondary.

The project should be designed such that students will gain the experience of how to plan, execute, analyze the data and interpret the results of a several-factor experiment. Choose your subject so that the factors involved are fundamentally quantitative and your dependent variable (y) is a continuous measurement, so that the multiple regression analysis can be used in data modeling and analysis.  At least four different independent variables (x) should be included in your regression model.  More details will be discussed by the end of the semester.

Report Contents and Organization:

•         Your report should be:

o   Typed in English;

o   Font type: Times New Romans;

o   Font size: 12 pnt;

o   Spacing: double;

o   Paper size: A4

•        Properly cited

•        Supplemented with descriptive graphs including:

o   If your project includes maps, they should be with suitable and clear colors, appropriate symbology, labels, title, legend, north arrow, scale bar………etc.

o   Diagrams, pie charts, bar charts, tables, …………………etc. with appropriate titles and clear description inside your document.

•        Organized as follows:

Ø  Title page

Ø  Introduction: problem definition, well-defined research question(s) and hypotheses

Ø  Literature review

Ø  Methodology (DON’T forget to talk about the data collection techniques you followed …………..etc.)

Ø  Analysis Results and Discussion

Ø  Conclusions and Recommendations

Ø  References

Materials to be submitted:

1)      Final Report printed on A4 and should be colored and organized as mentioned above;

2)      A CD including the following items: the final report in PDF format, final presentation, input data, output data, final maps and charts.

PRESENTATIONS

1)      Midpoint Presentation: in this presentation you should answer the following questions:

ð  What you want to do

ð  How you will  do it (flowchart)

ð  Where you are at this point

2)      Final Presentation