HT 2010, Period 1, II2202 Research Methodology and Scientific Writing
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Still under development
II2202 Research Methodology and Scientific Writing
(II2202 Forskningsmetodik och vetenskapligt skrivande 7,5 hp) is a 7.5
credits course. The course provides the theoretical insight and
practical skills required to plan, implement, analyse and report a
scientific experiment in the area of communication systems.
The main parts of the course are scientific methods of projects
including research methodology, and ethics both theoretical and
practical. It also includes scientific writing, reviewing, and
presentation of texts.
Course Organisation
The course is given in period 1. It is divided into three parts,
where lectures and labs provide support for handling:
- Research Methodology (40%), which is motivating, and preparing as well as performing an
- Evaluation (20%), giving insights in evaluations for scientific research, and a
-
- Scientific Report (40%), reporting the outcome of the evaluation.
-
These three parts are examined by a project proposal (or project
plan), a method description and a report as well as a opposition
report. The guidelines for the assignments can be fetched from
Bilda.
Assignments
There are four different assignments during the course. Observe
that the assignment must be handed in before deadline to be considered
during the course. Please check the schedule for the deadlines!
Scientific report
The scientific report should have the layout of a scientific paper,
a maximum of five A4 pages in length (atleast 1200 words).
The paper should reflect the number of hours put into it. The report
is assigned 2.5 credits, which means roughly 100 hours of work.
Two people will work together on the paper and each of the parts of
the report must indicate who is the responsible student. Therefore,
make sure you explicitly indicate who has written which section of the paper.
The course is taught in English. All scheduled course activities are
located in Kista.
Information is available on:
The aim of the course is to give the students the theoretical and
practical skills to conduct, analyze and present in written an
experimental task in the area of data commuincation and to give
insight and understanding of research methodology.
Following this course a student should be able to:
- explain and apply techniques for scientific writing and research methodology to prepare the writing of a scientific report.
- perform investigation using methods, explain and take position on the results as well as summarize related work
- apply the knowledge in scientific writing and research methodology and use the knowledge to write a scientific report.
Prerequisites
Good knowledge of English and basic knowledge of data communication.
Contents
To be added
Topics
Examination Requirements
Grades
For new ECTS grading:
Code of Honor and Regulations
It is KTH policy that there is zero tolerance for cheating, plagiarism, etc. - for details see
KTH startpage->Student->Student rights
See also the KTH Ethics Policies
Literature
Main Text-Book
The course will mainly be based on the books:
- Peter Bock, Getting It Right: R&D Methods for Science and
Engineering, Academic Press; 1 edition (September 13, 2001), 406
pages, ISBN-10: 0121088529, ISBN-13: 978-0121088521
- Justin Zobel, Writing for Computer Science, Springer; 2nd edition (April 27, 2004),
paperback: 280 pages, ISBN-10: 1852338024, ISBN-13: 978-1852338022;
web page for the book
- Wayne C. Booth, Gregory G. Colomb, and Joseph M. Williams, The
Craft of Research, 2nd edition (Chicago Guides to Writing, Editing,
and Publishing), University Of Chicago Press; 1 edition (March 2003),
paperback: 336 pages, ISBN-10: 0226065685, ISBN-13: 978-0226065687
Additional Reference Books
- Angelika H. Hofmann, Scientific Writing and Communication: Papers,
Proposals, and Presentations, Oxford University Press, USA (December
16, 2009), Paperback: 704 pages,
ISBN-10: 0195390059, ISBN-13: 978-0195390056
The books are to be available via the KTH student bookstore - 5th
floor of the Forum building. There will also be copies of all the
textbooks on reserve in the library.
Lecture notes will be available on-line in PDF format. See the
notes associated with each of the course topics.
Supplementary readings
Schedule
The schedule for the course is shown below (Note that in the following
"xx" means "xx:00", not "xx:15".):
Note: The scheduled is subject to changes in times, dates, topics,
and teachers.
Week | Day | Date | Time | Title | Room | Teacher | Notes |
35 | Monday | 30
August | 08:00-10:00 | L1 Introduction to Research
Methodology and Scientific Writing | Ka-C1 | Anne
Håkansson | | lecture notes |
| Tuesday | 31 August | 08:00-10:00 | L2 Introduction to Scientific Genres - Proposals and technical reports | Ka-C1 | Rebecca Hincks | |
| Friday | 3 September | 08:00-10:00 | L3 Scientific knowledge | Ka-C1 | John Cantwell | |
| Friday | 3 September | 15:00-17:00 | L4 Hypothesis testing | Ka-C1 | John Cantwell | |
36 | Monday | 6 September | 08:00-10:00 | L5 Effective Writing Strategies, Paragraph structure, Cohesive devices, Information structure, Conciseness | Ka-C1 | Rebecca Hincks | |
| Tuesday | 7 September | 08:00-10:00 | L6 Working with Texts, Digital resources, Working with original sources, Referencing systems, Reviewing and collaboration, Learning from model texts | Ka-C1 | Rebecca Hincks | |
| Tuesday | 7 September | 15:00-17:00 | L7 Introduction to research and data collection methods: both qualitative and quantitative | Ka-Aulan | Mark Smith / Gerald Maguire | |
| Wednesday | 8 September | 08:00-10:00 | L8, Experiments | Ka-Aulan | John Cantwell | |
| Friday | 10
September | 08:00-10:00 | L9 Quantitative
methods | Ka-Aulan | Mark Smith / Gerald
Maguire | Smith's notes
Maguire's notes |
| Friday | 10
September | 10:00-12:00 | Lab 1: Proposals | Ka-431
(Forum), Ka-C22 (Electrum) | Mark Smith & G. Q. Maguire Jr. | |
37 | Monday | 13 September | 15:00-17:00 | L10 Successful oral presentation for engineers, Content and structure, Delivery, Visual information | Ka-Aulan | Rebecca Hincks | |
| Monday | 13 September | TBA | Hand
in proposals, assignment 1 | | | |
| Wednesday | 15 September | 08:00-10:00 | L11 Ethics, Plagiarism | Ka-Aulan | John Cantwell | |
| Thursday | 16
September | 10:00-12:00 | L12 Quantitative data collection
methods, analyse, result | Ka-Aulan | G. Q. Maguire Jr. |
Maguire's notes |
| Thursday | 16 September | 13:00-15:00 | Seminar 1 | Ka-531, Ka-532, Ka-533, Ka-C22 | Mark Smith, Gerald Maguire, Esmiralda Moradian, Anne Håkansson | groups of 26 students |
| Thursday | 16 September | 15:00-17:00 | Seminar 1 | Ka-533 | Mark Smith, Gerald Maguire, Esmiralda Moradian, Anne Håkansson | groups of 26 students |
38 | Monday | 20 September | 08:00-10:00 | Lab 2:
Quantitative | Ka-533, Ka-539, Ka-540 | Mark Smith, Gerald
Maguire, Anne Håkansson | 3 groups (a, b, and c) |
| Monday | 20 September | 10:00-12:00 | Lab 2:
Quantitative | Ka-431, Ka-SalD | Gerald Maguire, Anne
Håkansson | 2 groups (d an e) |
| Tuesday | 21 September | 08:00-10:00 | L13 Research articles 1: Introduction and Methods | Ka-Aulan | Rebecca Hincks | |
| Wednesday | 22 September | 08:00-10:00 | L14 Qualitative
methods | Ka-Aulan | Esmiralda Moradian | |
| Friday | 24
October | 10:00-12:00 | L16 Qualitative data collection
methods | Ka-Aulan | Esmiralda Moradian, Anne Håkansson | |
39 | Monday | 27 September | 08:00-10:00 | L15 Research articles 2: Results, discussion, title and abstract. | Ka-Aulan | Rebecca Hincks | |
| Tuesday | 28 September | TBA | Hand in method, assignment 2 | | | |
| Thursday | 30 September | 10:00-13:00 | Seminar 2 | Ka-532 | Anne Håkansson | group 5 (i.e., group "e") |
| Thursday | 30 September | 13:00-16:00 | Seminar 2 | Ka-532,
Ka-533, Ka-438, Ka-C21, Ka-C22 | Mark Smith, Gerald Maguire,
Esmiralda Moradian, Anne Håkansson | groups 1-4 (i.e., groups "a-d") |
| Friday | 1 October | 10:00-12:00 | Lab 3:
Qualitative Methods | Ka-431, Ka-533, Ka-540 | Mark Smith, Esmiralda Moradian, Anne Håkansson | 3 groups |
| Friday | 1 October | 13:00-15:00 | Lab 3:
Qualitative Methods | Ka-531, Ka-532 | Gerald Maguire, Anne Håkansson | 2 groups |
40 | Tuesday | 5 October | 13:00-15:00 | L17 Concluding lecture | Ka-Aulan | Anne Håkansson | |
41 | Tuesday | 12 October | TBA | Hand in report,
assigment 3 | | | |
| Friday | 15 October | TBA | Hand in
opposition, assignment 4 | | | |
42 | Thursday | 21 October | 8:00-12:00 | Seminar 3: Presentation of Report
and opposition | Ka-SalD, Ka-SalE, Ka-C2 | Mark Smith, Esmiralda Moradian, Anne
Håkansson | groups 1, 3, and 4 |
| Thursday | 21 October | 13:00-17:00 | Seminar 3: Presentation of Report
and opposition | Ka-Aulan, Ka-C2 | Gerald Maguire, Anne
Håkansson | groups 2 and 5, note: Group 2 in Aulan will start at 13:15) |
44 | Sunday | 7 November | by 23:59 | Hand in last
version of report, assignment 3 | | | |
Note that Ka-C1 and Ka-C2 are in the Electrum building in Kista
(Isafjordsgatan 22);
while Ka-Aulan, Ka-D, Ka-E are in the Forum building (Isafjordsgatan 39). Note that
the prefix "Ka-" means that the room is in Kista. In the above table "TBA" means "To be annouced".
Lecture Plan and Lecture Material (OH slides)
Staff Associated with the Course
- Research Methodology:
- Research Methods: John Cantwell
-
- Scientific writing: Rebecca Hinks, Beyza Björkman, and Hans Malmström
Registering
Use the normal process for registering. For most students this
means you should speak with your study advisor (studievägledare).
Other on-line Course related Material
Books, articles, web pages, and other information
- Tom Tullis and Bill Albert, Measuring the User Experience:
Collecting, Analyzing, and Presenting Usability Metrics,
Morgan-Kaufmann, 2008, ISBN 978-0-12-373558-4
- Thomas S. Lumley, Complex Surveys: A Guide to Analysis Using R,
Wiley, March 2010, 296 pages, ISBN-10: 0470284307 and ISBN-13: ISBN: 978-0-470-28430-8
- Thomas S. Lumley, R survey
package, web page, last modified 13 August 2010.
- Summary of Survey Analysis Software,
Section on Survey Research Methods, American Statistical Association,
last modified 9 September 2008
- Ken Kelley, Keke Lai, and Po-Ju Wu,
Using R for Data Analysis: A Best Practice for Research,
Chapter 34 in Jason W. Osborne (Editor),
Best Advanced Practices in Quantitative Methods, Sage Publishing,
Thousand Oaks, CA, USA, 2008, pages 535-572 - a very nice introduction
to how to use R for data analysis with lots of examples (including
loading data from a Excel spreadsheet using ODBC); the emphasis in
this chapter is on the "Methods for the Behavioral, Educational, and Social Sciences"
(MBESS) R package; there is web page for the whole
book
- Sharon L. Lohr, Sampling: Design and
Analysis, second edition, Brooks/Cole, Cengage Learning, 2010, 608
Pages, ISBN-10: 0-495-10527-9, ISBN-13: 9780495105275;
Table of
contents for first edition
- David Eagle, R Survey
Analysis: Weighting Data: Inverse-Probability Weights and
Inverse-Variance Weighting, web page, last modified 17 September 2010
-
Household Sample Surveys in Developing and Transition Countries,
United Nations, Department of Economic and Social Affairs, Economic
and Social Development, Statistics Division, Report number ST/ESA/STAT/SER.F/96/WWW,
March 2005. See for example James R. Chromy and Savitri Abeyasekera,
Chapter 19: Statistical analysis of survey data, 30 pages.
- Nicholas J. Horton and Ken Kleinman,
SAS and R: Examples of tasks replicated in SAS and R, blog, for
example their posting on their book:
Nicholas J. Horton and Ken Kleinman,
Using R for Data Management, Statistical Analysis, and Graphics,
CRC Press, 28 July 2010, 297 pages, ISBN-10: 1439827559 and ISBN-13: 978-1439827550
- Phil Spector, Data Manipulation with R (Use R),
Springerm 19 March 2008, 154 pages, ISBN-10: 0387747303 and ISBN-13: 978-0387747309
- Glenn D. Israel,
Analyzing Survey Data, Cooperative Extension Service, Institute of
Food and Agricultural Sciences (IFAS),
University of Florida, Gainesville, FL, USA. See other papers by this
author.
- Paul Webb, R and Quantitative Data Analysis,
social research UPDATE, Department of Sociology, University of Surrey,
Guildford, United Kingdom, ISSN: 1360-7898, Issue 55, Spring 2009
- The United Kingdom's Economic and Social Research Council (ESRC)
sponsored a
Research Methods Programme (2002-2007), which in turn
sponsored P|E|A|S
(Practical Exemplars and Survey Analysis) - this site gives
examples (with different types of surveys and using different
techniques), theory, and descriptions of software that can be used for
surveys. This work in continuing as part of the U.K.'s ESRC
National Centre for Research Methods
- To read the literature on surveys and important term to understand
is: primary sampling unit (PSU)
- Steven G. Heeringa, Brady T. West, and Patricia A. Berglund,
Applied Survey Data Analysis, Chapman & Hall/CRC Statistics in the
Social and Behavioral Science, April 5, 2010, 487 pages,
ISBN-10: 1420080660 and ISBN-13: 978-1420080667,
web site Applied Survey Data Analysis
- Juan Miguel Marín Diazaraque of the Department of Statistics, Universidad Carlos III of Madrid
has written a Tutorial for SAMPLING in R
- Christian Boudreau of the Dept. of Statistics & Actuarial Science, University
of Waterloo, gave a workshop on
Analysis of Survey Data to the
Milwaukee Chapter of the ASA (MILWASA)
of the American Statistical Association (ASA) on September 26, 2008
- The Morgan Centre for the Study of Relationships and Personal Life of the
University of Manchester, Manchester, U.K. as part of the ESRC
National Centre for Research Methods has made available a webpage of
Resources for teachers and supervisors
- CRAN Task View:
Official Statistics & Survey Methodology
- Phillip S. Kott,
A Model-Based Look at Linear Regression with Survey Data,
The American Statistician, American Statistical Association, Vol. 45, No. 2 (May, 1991), pp. 107-112
- Stefan Loehnert,
"About Statistical Analysis of Qualitative
Survey Data", International Journal of Quality, Statistics, and
Reliability, vol. 2010, Article ID 849043, 12 pages,
2010. doi:10.1155/2010/849043
- Michael E. Driscoll,
How Google and Facebook are using R,
Dataspora Blog: Big Data, open source analytics, and data visualization
February 19, 2009 - panel discussion with four R users from industry:
Bo Cowgill (Google), Itamar Rosenn (Facebook), David Smith (Revolution
Computing), and Jim Porzak (The Generations Network and Co-Chair of
Bay Area R Users Group)
- Methodology
tutorial - quantitative data analysis, web page, EduTech Wiki, Last modified: 4 August 2009
- David A. Binder and Georgia R. Roberts,
Statistical inference in survey data analysis: where does the sample design
fit in?, lecture slides, for the conference: Statistics Canada Research
Data Centre Network Conference 2003: Transitions in Employment, Income and
Wellbeing, McMaster University, Hamilton, Ontario, Canada, 24 September 2003
- R. L. Chambers, C. J. Skinner (Editors),
Analysis of Survey Data, John Wiley & Sons, Ltd., 2003
Print ISBN: 9780471899877, Online ISBN: 9780470867204, Published Online: 30
May 2003, DOI: 10.1002/0470867205
- Probability plots
webpage, Quantitative Decisions, page was created 24 January and last
updated 18 February 2003.
-
On-line survey tools
Some tips on writing a questionnaire
- David O'Brien,
Questionnaire Design
A report for the course CS 6751, Human-Computer Interface, College of Computing, Georgia
Institute of Technology, Atlanta, GA, USA, Winter 1997
- Bob Kaden, Guidelines
for Writing an Effective Questionnaire, CustomerThink
Corporation, 20 November 2007
- Steve Gould, 1.05 How to write a questionnaire,
Part of Study Guides: Writing, Learner Development Unit, Birmingham
City University, Birmingham, UK, Last updated: 20 February 2007
- Office of Educational Assessment,
Tips for Writing Questionnaire Items, Catalyst Tools Workshops,
Learning & Scholarly Technologies, University of Washington, Seattle,
WA, USA, Last Updated: October 2006
- How To Write
A Good Survey, InfoPoll: Software for Surveys & Polls, Softlogic
Inc. Dartmouth, NS, Canada, September 19, 1998
- Wai-Ching Leung,
How
to design a questionnaire, StudentBMJ,
BMJ Publishing Group Limited, U.K., volume 9, May 2001, pages 143-145
-
Statistical Computing Seminars
Introduction to Survey Data Analysis,
University of California at Los Angles (UCLA): Academic Technology Services,
Statistical Consulting Group, accessed on 2010.09.28 - the focus is on
Stata, SUDAAN, WesVar, and SAS - but includes some useful definitions
and examples
- Hossein Arsham,
Questionnaire Design and Surveys Sampling, 9th Edition, University of Baltimore
Baltimore, Maryland, USA.
- Willem E. Saris and Irmtraud N. Gallhofer, Design, Evaluation,
and Analysis of Questionnaires for Survey Research, Wiley Series
in Survey Methodology, Wiley-Interscience, 3 August 2007, 392 pages,
ISBN-10: 0470114959 and ISBN-13: 978-0470114957.
- Katja Lozar Manfreda, Zenel Batagelj, and Vasja Vehovar,
"Design of Web Survey Questionnaires: Three Basic Experiments",
Journal of Computer-Mediated Communication (JCMC), 7(3), April 2002.
- Jezz Fox, Craig Murray, and Anna Warm,
"Conducting research using web-based questionnaires: practical,
methodological, and ethical considerations",
Internation Journal on Social Research Metholdology, ISSN 1364-5579
print, ISSN 1464-5300 online, Taylor & Francis Ltd., 2003,
Volume 6, number 2, pages 167-180, DOI: 10.1080/1364557021042883
- Stephen J. Sills and Chunyan Song,
Innovations in Survey Research: An
Application of Web-Based Surveys", Social Science Computer Review. SAGE
Publications (UK and US), eISSN: 1552-8286, ISSN: 0894-4393, 2002, Volume 20,
number 1, pages 22-30
Some useful tools
- Zotero extention to FireFox
for helping you manage references, Center for History and New Media,
George Mason University, Fairfax, Virginia, USA
- BibTeX web page, last
accessed 19 September 2010 - note that there is a BibTeX mode in emacs
- Bevan S. Weir,
Step-by-step guide to using EndNote with LaTeX and BibTeX, web
page, Last modified 25 March 2010
- James,
How to use JabRef (BibTeX) with Microsoft Word 2003, web page,
medicalnerds.com, "technology, stats and IT for medics",
25 March 2007
- JabRef - an open
source reference manager written in Java
- ispell - use with the "-t" option for LaTeX files
- OpenOffice.org - open
source word processing, with grammer checking via the
LanguageTool extention or
After the Deadline
- Using dynamic abbreviations (dabbrev) in Emacs - can greatly increase
your typing speed
- Two GNU programs style
and diction. For more information see Michael Stutz, "
Explore powerful UNIX writer's tools:
Using new, open source equivalents of the classic UNIX Writer's
Workbench", a tutorial from IBM's developerWorks web site, 22 May 2007
- gnuplot - basic plotting
in 2D and 3D with lots of output formats
- See also Micah Altman,
The Impoverished Social Scientist's Guide to Free Statistical Software
and Resources, web page, Last Updated: December 18, 2008
Previous
versions of the course
Page History
2011.02.08 | added Tullis and Albert book reference |
2010.09.30 | added link for Zobel's book's website |
2010.09.29 | added some additional material for
web-based surveys and a nice R document by Kelly, et al. |
2010.09.27 | added some additional material for
qualitative and/or mixed methods and re-organizaed the on-line
information section |
2010.09.26 | added three more on-line survey tools |
2010.09.19 | added information and URLs for surveys,
including the R package for surveys; added some sources for writing tools |
2010.09.17 | added rooms for seminar 2 and lab 3 |
2010.09.15 | added Maguire's notes |
2010.09.10 | added Maguire's notes and Smith's for today |
2010.09.03 | corrected spelling error |
2010.08.30 | Added Lecture 1 notes and correct time for lecture 2 |
2010.08.28 | updated schedule |
2010.08.27 | update location for L2 |
2010.08.26 | Revisions to text and schedule |
2010.08.24 | first draft version for 2010 |
© Copyright 2010, 2011 Anne Håkansson and G.Q.Maguire Jr. (maguire@kth.se)
All Rights Reserved.
Tue Feb 8 15:54:09 MET 2011