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Assignment Method In Quantitative Techniques Notes

Time: Mon, 3:30-5:30 pm
Location: 202 South Hall

Instructor: Coye Cheshire
Office: 305A South Hall
Office Hours: Tues and Thurs 3-4
(510)643-6388
coye{at}sims.berkeley.edu
GSI: Yuri Takhteyev
Office: TBA
Office Hours: TBA
Phone number: TBA
yuri{at}sims.berkeley.edu


Course Overview

The goal of this seminar is to provide students with an introduction to many different types of quantitative research methods. We begin with a focus on defining research problems, theory testing, causal inference, and basic statistics. Then, we will explore a range of research designs and methodological techniques that are available for empirical research. Topics in research methods include: Primary and Secondary Data Analysis, Sampling, Survey Design, and Experimental Designs. Topics in quantitative techniques include: Descriptive and Inferential statistics, General Linear Models, and Non-Linear Models. The course will conclude with an introduction to special topics in quantitative research methods, including Factor Analysis, Social Network Analysis, and Time-Series Forecasting. This course is intended as an introduction to many quantitative methods and research techniques, and not as a replacement for focused statistics courses.

Course Readings

All of the required course readings are available online. These readings may be updated during the semester, and all changes will be reflected on the course webpage in advance. Since this is a skills-building seminar, there is not a large amount of required reading. However, all students are encouraged to read articles and books on the 'suggested reading' list. All of the suggested readings are articles and/or books that would be used in a similar lecture course on quantitative methods. Thus, the 'suggested readings' are important for those with a strong interest in building their research and quantitative methodology skills.

Non-Required Suggested Readings

Creswell, John W. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches.

  • Available at www.amazon.com. Note: An easy-to-read book for those interested in learning more about issues in research methodology. This book does not teach quantitative methods, it is focused on using different methods to do research in general.

Hamilton, Lawrence C. Statistics with STATA, Version 8.

  • Available at www.amazon.com. Note: A great blend of statistical methods and learning to use a statistical software package at the same time. All examples in the book use STATA 8 software.

Myers, Jerome L. and Arnold D. Well. Research Design and Statistical Analysis (2nd Edition).

  • Available at www.amazon.com. Note: A good reference book for statistical analysis, including the math behind many of the common statistical methods.

Course Assignments

There are three assignments in this seminar. The first assignment is a short exercise about issues in research methodology. The second assignment will require students to use a statistical software package to conduct some simple statistical tests on a dataset that we will provide in class. The third assignment will be a group project (4-6 students per group), and will involve using a dataset (provided in class) to answer a few research questions of your choice. Information on each of the assignments will be distributed in advance during class.

Course Software

An important part of working with quantitative research methods involves the use of statistical software. Class examples will be done using STATA (www.stata.com) and SPSS (www.spss.com). Since SPSS is provided in the SIMS computer lab, I expect that most students will want to work with it. You are not required to purchase any statistical software for this seminar. However, I will allow you to use any statistical software package that you prefer for your assignments. A partial list of popular statistical software packages includes:

  • SPSS - Very good for beginners; strong GUI
  • STATA - Good for beginners and intermediate; powerful
  • SAS - Not good for beginners, but powerful
  • R - Free; not great for beginners, but powerful
  • S-Plus - An expensive version of R with GUI

MAS187: Quantitative Methods for Business Management

AEF258: Statistics for Marketing and Management

Semester 1

MAS187 students should "Bookmark" this page!

This page contains additional information about the Semester 1 part of the introductory module on "Quantitative Methods for Business Management" (MAS187) and the module "Statistics for Marketing and Management" (AEF258). These two modules share the same lectures.

Schedule of lectures and tutorials

Lectures are on Mondays at 10.00am in Lecture Theatre LT1, Bedson Building.
Tutorials take place each week on Thursdays and Fridays as follows. Each student attends one tutorial each week. ============================================ Day Time Building Room ============================================ Thursday 9-10 Stephenson F1 Thursday 4-5 King George IV LT1 Friday 9-10 Percy G5 Friday 11-12 Percy G5 ============================================ The allocation of students to tutorial groups is given here. If you have a good reason for wanting to change your tutorial group, please see Dr. Farrow. However, there is likely to be limited scope for changes if we are to keep the numbers close to being equal in the groups.

Lecture notes

Lecture notes will be posted below, together with solutions to tutorial exercises. They are in pdf format and you will need Acrobat Reader to view them - click on the link to download your own (free) copy.

You should print out and read lecture notes before each lecture and attempt tutorial questions before each tutorial session - solutions will be posted after the final tutorial session each week. The notes and solutions currently available are shown in red below.

An attendance register will be taken at each tutorial. Please note that a good attendence record will be taken into account when deciding whether to pass students with borderline assignment/exam marks.

  • Chapter 1: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 2: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 3: lecturenotes, slides, 4-up slides, tutorialsolutions, Farmer's market data, Jeans sales data.
  • Chapter 4: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 5: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 6: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 7: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 8: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 9: lecturenotes, slides, 4-up slides, tutorialsolutions
  • Chapter 10: lecturenotes, slides, 4-up slides, tutorialsolutions
  • May 8th Revision problems and solutions
  • Full set of lecturenotes
Please report to me any errors or suggested improvements to these notes.

Assessment

The assessment of the module consists of a 2 hour examination at the end of Semester 2 (60%) and an assignment in each semester (20% each). Obviously I can't show you this year's exam but you can get a copy of last year's exam paper from the university's exam site. In fact I have made last year's papers available here for AEF258 and MAS187 . Solutions to some of the questions on the MAS187 paper are available. This year's exam will be closer in style to last year's MAS187 exam than to last year's AEF258 exam but will may be some differences between the exams for the two modules.
The exam for MAS187 will be OPEN BOOK. The exam for AEF258 will not be open book but a formula sheet will be provided. Here is a copy of the formula sheet.

Assignment 1

  • Description
  • Data for assignment question 2: here
  • Data for assignment question 3: here
  • Minitab is available from all UCS cluster PCs. Also you can buy a copy for your own PC (cost �10) from the UCS Shop.
  • To read either of the data files into Minitab, save the file in a suitable directory then, in Minitab, select Open Worksheet . You will need to change the file type to All files

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