UGBS 703 Adv Quantitative Research Methods, Ph.D
Latest URGENT Breaking News:
For your Information, except Fosu's paper, you can critique an review any of the attached journal papers below, labeled with 1 in front. Use ONLY any of THESE as your term paper. There is ONE paper for the Public Admin students. Use any of the 4 below. BEST
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1 Halvorsen 2003 Assessing the Effects of Public Participation public adm rev.pdf
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Breaking News
- URGENT: In R, install the "plm" package before coming to class.
- URGENT: Download below the sales.wage.mtcars.panel excel data. You shall use it a lot
- URGENT: Lecture 8 on Panel regressions is uploaded
- Proposal Template is below Proposal Headings.docx
- Assignment solutions are uploaded below
- Please URGENTLY download the blood pressure data to be used for regression: bp blood pressure.xlsx and salesdata for dummy reg: sales.dummy.std.xlsx
- Download the high school data.xlsx (19k) data below which will be used for hypothesis testing. NB: 1 is a spssfile: hsb2.sav
Use the following commands to load the hsb2 data into R (Please do b4 coming to class):
library(foreign)
hsb2 <- read.table('http://www.ats.ucla.edu/stat/r/modules/hsb2.csv', header=T, sep=",")
attach(hsb2)
detach(hsb2)
News: The class rep should create a class group email. Use the password given to you to download all documents. Downloading instructions are below
News: On every day of lectures, urgently come to class with your laptops with R & Rstudio installed. Download & read Margaritis & Psillaki 2010 journal paper. (URGENT)
Instructors:
Dr. Kwaku Ohene-Asare (Coordinator)
Dr. Lord Mensah lordmensah@ug.edu.gh
Dr. Godfred A Bopkin gabokpin@ug.edu.gh
Dr. A. Afful-Dadzie
Prof. A. Q. Q. Aboagye qaboagye@ug.edu.gh
Breaking News: R (urgently download it. it's free) at http://cran.r-project.org/. Or at: http://cran.r-project.org/bin/windows/base/old/
Latest News: Download R Studio at http://www.rstudio.com/ide/
Working with mtcars data in R:
cars1=read.delim("clipboard") #load from excel to R
cars1 #view data set
cars = cars1[,-1] #convert column 1 in the data frame into row names &
rownames(cars) <- cars1[,1] #label new dataframe as 'cars'
cars #view new data set
save(cars, file="cars") # save loaded data
In R, do the following:
• library(car) #install car, then load the car package
• data(mtcars) #we shall try our regressions with this mtcars dataset
• ??mtcars #type this to find out more about the mtcars dataset
• mtcars # view the cross-sectional dataset
• library(psych) #install "psych" package then load this for summary stats later
• library (Hmisc) #install & load "Hmisc"
Lectures Slides Below:
Course outline: UGBS 703
Lecture 1: AQRM_PhD_L1_Introduction___data
Lecture 2&3: AQRM_PhD_L2___L3_hypothesistests_anova
Lecture 4: AQRM_PhD_L4_Regression_1.pdf
Lecture 5: AQRM_PhD_L5_Regression_2_Diagnostics.pdf
Lecture 6-7: AQRM_PhD_L6_L7_Dummy_Regression.pdf
Lecture 8: AQRM_PhD_L8_Panel_Regression_Data_Types.pdf
Downloading Instructions:
All the documents are password-protected. Students have been given the passwords. To download, click on the arrow (to the right of the file) pointing downwards.
Anything, email me.
ADVANCED QUANTITATIVE RESEARCH METHODS
Supporting Readings
In general almost any basic Statistics text is useful. Choose one with which you are familiar or try one or other of the following which are examples of very different styles:
Clare Morris (2003) Quantitative Approaches to Business Studies, 6th ed., Prentice Hall.
F Dewhurst (2006) Quantitative Methods for Business and Management, 2nd ed., McGraw-Hill
W W Daniel and J C Terrell (1995) Business Statistics for Management and Economics, Houghton Mifflin
T H Wonnacott and R J Wonnacott (1990) Introductory Statistics for Business and Economics, 4th ed., Wiley
For texts on more specific topics consider the following:
Quantitative Research Methods in general:
Uma Sekaran (2003) Research Methods for Business: A Skill Building Approach 4th ed., Wiley
J Adams, H Khan, R Raeside and D White (2007) Research Methods for Graduate Business and Social Science Students, Sage
Nigel Gilbert (1993) Researching Social Life, Sage
Displaying and Summarising Data:
Edward Tufte (2001) The Visual Display of Quantitative Information, 2nd ed., Graphics Press
Roger Sapsford and Victor Jupp (2006) Data Collection and Analysis, 2nd ed., Sage
A Waalgren, R P Wallgren, U Jorner, J-A Haaland (1996) Graphing Statistics and Data: Creating Better Charts, Sage
H F Weisberg (1992) Central Tendency and Variability, Sage
G Zelasny (2001) Say it with Charts, McGraw-Hill
F Hartwig and B E Dearing (1980) Exploratory Data Analysis, Sage
Survey and Sampling Methods:
C Moser and G Kalton (1985) Survey Methods in Social Investigation, Heinemann
A Buckingham and P Saunders (2004) The Survey Methods Workbook: From Design to Analysis, Polity Press
Catherine Marsh (1982) The Survey Method, Allen & Unwin
K Black: Business Statistics for Contemporary Decision Making. 4th edition, Wiley
Hypothesis/Significance Testing:
See any basic statistics text. However, for more on the hypothesis testing approach see:
L B Mohr (1990) Understanding Significance Testing, Sage
R E Henkel, (1977) Tests of Significance, Sage
D E Morrison and R EHenkel (Eds) (2006) The Significance Test Controversy: A Reader, Aldine Transaction
G K Kanji (2006) 100 Statistical Tests, 3rd ed., Sage
Questionnaire Design:
A. Oppenheim (2000) Questionnaire Design, Continuum International Publishing
W E Saris and I N Gallhofer, (2007) Design, Evaluation, and Analysis of Questionnaires for Survey Research, Wiley
A Oppenheim (1992) Questionnaire Design, Interviewing and Attitude Measurement, Continuum International Publishing
Floyd Fowler (1993) Survey Research Methods, Sage
SPSS and Minitab:
A Field (2005) Discovering Statistics Using SPSS, Sage
J Pallant (2007) SPSS Survival Manual, OU Press
A Griffith (2007) SPSS for Dummies (For Dummies), Wiley
T Ryan, B L Joiner and B F Ryan (2004) Minitab Handbook (Statistics), 5th rev. ed., Brook Cole
R Carver (2003) Doing Data Analysis with MINITAB 14, 2nd rev ed., Brooks Cole
Multivariate Statistics
I Ayres: Supercrunchers: How Anything can be Predicted, John Murray, 2008
J Hair, B Black, B Babin, R Anderson and R Tatham (2007) Multivariate Data Analysis, 6th ed, Pearson
J Hair, R Anderson, R Tatham and B Black (1995) Multivariate Data Analysis with Readings, 4th ed, Prentice Hall
B G Tabachnick and L S Fidell (2006) Using Multivariate Statistics, 5th ed., Pearson
C Chatfield and A Collins (1991) Introduction to Multivariate Analysis, Chapman and Hall
S Sharma (1996) Applied Multivariate Techniques, Wiley
Simulation
S G Henderson and B L Nelson: Handbooks in Operations Research and Management Science: Simulation, North Holland, 2006
S Robinson: Simulation: The Practice of Model Development and Use, Wiley, 2003
A M Law: Simulation Modeling and Analysis, McGraw-Hill, 2006
L Tesfatsion and K. L. Judd: Handbook of Compuational Economics: Agent-based Computational Economics, North-Holland, 2006
Optimization
Z Michalewicz and D Fogel: How to solve it, Springer, 2004