Compiled by
Brigitte Lépine
Survey Research
Content Analysis and Other Secondary Data
Quantitative related information
Experimental
Research
Info Specific
CHOOSING A RESEARCH DESIGN
What Kind of Experiment Should You Do?!?
http://trochim.human.cornell.edu/tutorial/belue/belue.htm
This tutorial will focus on experimental designs
Experimental Design
http://trochim.human.cornell.edu/kb/desexper.htm
Experimental designs are often touted as the most "rigorous" of all
research designs.
Experimental Designs http://www2.nau.edu/~cdb24/nur390/Mod3/design/lesson.html Lesson: Research Design
There are two types of experimental research designs: true experimental and quasi-experimental. These designs are generally used to determine cause and effect. They allow us to make inferences.
Quasi-Experimental Design
http://trochim.human.cornell.edu/kb/quasiexp.htm
A quasi-experimental design is one that looks a bit like an experimental
design but lacks the key ingredient -- random assignment.
RESEARCH DESIGN AND ANALYSIS http://www.sci.monash.edu.au/psych/resource/stats/p1stats/ps1st08.htm First Semester - Lecture 8: Quasi Experimental Designs and Surveys
Non-Experimental Quantitative Research By Amy W. Edwards http://kancrn.kckps.k12.ks.us/guide/nonexperimental.html This type of research does not involve using experimentation to get data, but rather careful observation and description of phenomena, often through survey. It is considered to be quantitative, because the results are organized and presented systematically, usually in the form of statistics.
Interventional research is, quite simply, research where it is possible to intervene in treatment. http://www.fammed.ouhsc.edu/Tutor/intres.htm IMPORTANT NOTE: The whole REASON for experimental and quasi-experimental design is to control for extraneous factors. ANOTHER IMPORTANT NOTE: The KEY difference between experimental designs and quasi-experimental designs is randomization. This will be discussed more fully under experimental designs.
Controlled Studies http://trochim.human.cornell.edu/WebEval/webexper/webexper.htm Website Evaluation: Experimental and Quasi-Experimental Design Issues Kathryn A. Bowen, Cornell University
Experiments 101 with Serious Statistics Made Simple http://www.cs.umd.edu/~mstark/exp101/ Welcome to Experiments 101 with Serious Statistics Made Simple, written and maintained by Mike Stark of the Experimental Software Engineering Group at the University of Maryland. Experiments 101 is dedicated to helping a beginner with his or her first controlled experiment. It is particularly intended to help with experiments with human subjects, as occur in the study of human computer interaction or software engineering. The organization of this page is based on the course "Human Factors in Computer and Information Systems", taught at the University of Maryland by Dr. Ben Shneiderman. However, the material should be applicable to a wider audience.
Books, Journals, Articles and other references
Research Design Explained Overview of the Fourth Edition http://spsp.clarion.edu/mm/RDE3/start/RDE3start.html Book overview with resources
Experimental and Quasi-Experimental Research http://writing.colostate.edu/references/research/experiment/pop2f.htm Annotated Bibliography
A SAMPLER OF WWW RESOURCES FOR TEACHING STATISTICS Section 5- Electronic Journals & Newsletters http://it.stlawu.edu/~rlock/maa51/journals.html
Misuses of statistics
Statistical Goofs -- see the Dubious Awards section for funny (and tragic) misuses of statistics in the media
Courses Online and other related information
Experimental Research Overview & Definitions http://www.geolog.com/rm/rmnotes.htm One of the fundamental questions to be asked and addressed is 'how valid and reliable are the study and the data collected'?
courses
Psych 441: Experimental Design
http://www.ilstu.edu/~gcramsey/ExpDes.html
This course is designed to enrich the student's knowledge and understanding
of the statistical method as it pertains to the design and analysis of
experiments in the behavioral sciences.
ED230A Research Designs: Introduction to Research Design and Statistics Research Designs http://www.gseis.ucla.edu/courses/ed230a2/designs.html Pre-Experimental Designs, True Experimental Designs, Quasi-Experimental Designs
SYLLABUS for Psy 300A (Introduction to Statistical Methods: I ) Fall 1999 - Section F01 http://web.uvic.ca/psyc/kadlec/courses/psy300a/syllabus_f99.htm Course Description: This course introduces the basic concepts of descriptive statistics, and briefly introduces inferential statistics. Topics include: frequency distributions, measures of central tendency and variability, transformations of data, the Normal distributions, a brief introduction to probability theory, logic of hypothesis testing, and the t-test.
Online experiments
Welcome to the WEB EXPERIMENTAL PSYCHOLOGY LAB
http://www.psych.unizh.ch/genpsy/Ulf/Lab/WebExpPsyLab.html
At this website you will be able to participate in psychological
experiments. Please choose one below and ENTER:
Info Specific
Survey Methodology http://www.vcu.edu/cppweb/srlweb/survmeth.htm The purpose of this page is to assist the inquiring survey researcher in locating sources of information pertaining to survey methodology. Please see our page Other Survey Information for other survey related web sources.****
Survey Design, Questionnaire Design Tips http://www.surveysystem.com/sdesign.htm This is the Survey Design chapter from The Survey System's Tutorial, revised July, 2000. It is reproduced here as a service to the research community. Copyright 2000, Creative Research Systems.
Survey Methodology
http://www.vcu.edu/srl/survmeth.htm
The purpose of this page is to assist the inquiring survey researcher
in locating sources of information pertaining to survey methodology. Please
see our page Other Survey Information for other survey related web sources.
SURVEY Research Design http://www.windsor.igs.net/~nhodgins/survey_research_design.html Surveys are a generalized means of data collection through the use of interviews or questionnaires. There are no typical formats for a survey: they are designed or modified to meet the needs of the researcher or fit the topic of research.
Survey Research Methods Section Information http://www.stat.ncsu.edu/info/srms/srms.html -Many links
Resources on Internet Survey Methodology
http://www.ai.mit.edu/projects/iiip/conferences/survey96/resources.html
-A page with various links on surveys, methodology and data sources.
Links to Survey Web Sites
http://people3.hofstra.edu/hu/faculty/michael_barriere/seminar/surveysites.html
-This is a page of links related to Survey. Each links provide
a descriptive paragraph.
Welcome to the Princeton University
Survey Research Center
http://www.princeton.edu/~abelson/
Survey Methodology Research
http://www.indiana.edu/~csr/research.html#Survey
Research
-The CSR is a leader among academic survey organizations in developing
innovative survey research procedures. For many projects, we design and
develop techniques that provide researchers with unique samples and data.
Listed here are just a few.
Example of its use
R&D Expenditures Survey Methodology http://www.nsf.gov/sbe/srs/rdexp/method/
Conducting small-scale nutrition surveys -- A Field Manual Nutrition planning, assessment and evaluation service Food policy and nutrition division http://www.odc.com/anthro/docs/survey/ Conducting small-scale nutrition surveys - A Field Manual, FAO 1990 .Conducting small-scale nutrition surveys - A Field Manual, FAO 1990 .v (not found)
Books, Journals, Articles and other references
Bibliography
Sample Design for Household Telephone Surveys
A Bibliography 1949-1996
http://www.musc.edu/bmt738/German/sampbib.html
Compiled by:
Johnny Blair, Shanyang Zhao, Barbara Bickart, Ralph Kuhn,
Yun Chiao Kang
Maintained by:
Survey Research Center University of Maryland at College Park
Papers
Question Salience, Question Difficulty and Item Nonresponse in Survey Research http://www.jpsm.umd.edu/icsn/papers/MurataGwartney1.htm By Toshihiko Murata and Patricia A. Gwartney[1] This paper’s goal is to evaluate the relative significance of these two elements, respondents and survey instruments, on survey item nonresponse. Four major theoretical perspectives explain item nonresponse: cognitive sophistication or mental capacity theory; social interaction or expectation theory; question salience and subject matter; and question difficulty and complexity. We briefly describe each perspective and review their empirical support.
Evaluation of Empirical Premises http://www.kcmetro.cc.mo.us/longview/socsci/philosophy/logic/emparg.htm Statistical Statements (Premises) are usually the conclusion of a Statistical or Survey argument. These sorts of arguments rely on a SAMPLE of a larger Population to draw their conclusions. The strongest sort of Statistical Argument is where the SAMPLE POPULATION (the population actually observed or surveyed) is identical to the TARGET POPULATION (the group you are drawing conclusions about). Since this is often impractical, the Sample is often smaller than the Population being generalized about.
Survey Research Methods -Richard M. Jaeger http://ericcass.uncg.edu/research/jaeger.html Richard M. Jaeger is Excellence Foundation Professor of Educational Research Methodology and Director of the Center for Educational Research and Evaluation at the University of North Carolina at Greensboro, NC.
Papers on Web Survey Methodology: internet research, presented research
paper, marketing, online web survey, research conferences
http://surveys.over.net/method/literabc.html
Courses Online and other related information
Web Survey Methodology: Web Survey, Internet Research, Online Market
Research, Techniques, Conference
http://www.websm.org/index.html
Basic Monthly Survey Methodology and Documentation
http://www.bls.census.gov/cps/bmethdoc.htm
Methodology and Documentation
Programs
GRADUATE PROGRAM IN SURVEY RESEARCH
http://www.csra.uconn.edu/msr.html
The Joint Program in Survey Methodology
http://www.jpsm.umd.edu/index.htm
The Joint Program in Survey Methodology (JPSM) is a graduate degree
program teaching state-of-the-art principles and practices in the design,
conduct, analysis and evaluation of sample surveys.
Other Resources
Statistics Canada - Postsecondary resources
http://www.statcan.ca/english/edu/researchers.htm
Data and information
Access Funding Opportunities:
MMS Survey Methodology Competition
http://access.ncsa.uiuc.edu/FundingOps/000927.MMS.html
-MMS Survey Methodology Competition
The Methodology, Measurements, and Statistics (MMS)
Program in the NSF's Division of Social and Economic
Sciences, in collaboration with numerous federal statistical
agencies represented by the Interagency Council on Statistical
Policy (ICSP) and the Federal Committee on Statistical
Methodology (FCSM), invites research proposals that further
new innovative approaches to surveys and analysis of the survey
data.
Content Analysis and Other Secondary Data
Info Specific
Content Analysis http://writing.colostate.edu/references/research/content/index.htm Overview: Content Analysis This unit provides an introduction to content analysis, a research methodology that examines words or phrases within a wide range of texts.
CONTENT ANALYSIS http://www.irn.pdx.edu/~kerlinb/qualresearch/biblio.html#content analysis Resources
Content Analysis Resources
http://www.gsu.edu/~wwwcom/content.html
- Publication alerts: Summaries of recent noteworthy publications
- Books and monographs on content analysis
- CONTENT: The Internet mailing list
- Software for content analysis: Links to external sites
- People, places, and projects: Links to external sites
Primary and Secondary sources - WOU Library http://www.wosc.osshe.edu/provost/library/refguide/primsec.htm Primary versus Secondary Sources There are basically two types of sources used in research.
Primary and Secondary Sources http://www.sport.ussa.edu/library/primary.htm Academic research requires that you learn to make distinctions between primary and secondary research and between popular and scholarly journals.
Other quantitative related information
Info Specific
Design http://trochim.human.cornell.edu/kb/design.htm Research design provides the glue that holds the research project together. A design is used to structure the research, to show how all of the major parts of the research project -- the samples or groups, measures, treatments or programs, and methods of assignment -- work together to try to address the central research questions.
Study Design, Analysis, Reliability & Validity ******* Excellent http://www.windsor.igs.net/~nhodgins/design_and_analysis.html
Research Design and Sampling ***
http://www2.nau.edu/~cdb24/nur390/Mod3/
This module will cover the process of identifying and refining a research
problem and evaluating the appropriateness of research design and sampling
procedures to address the research question or hypothesis.
Quantitative Research Design http://www.sportsci.org/jour/0001/wghdesign.html Quantitative research is all about quantifying relationships between variables. Variables are things like weight, performance, time, and treatment. You measure variables on a sample of subjects, which can be tissues, cells, animals, or humans. You express the relationship between variable using effect statistics, such as correlations, relative frequencies, or differences between means.
Definitions and Measurement
http://www.uiah.fi/projects/metodi/154.htm#maar
Research Methods Resources from the College of Education at Arizona
State University
http://research.ed.asu.edu/
-Measurement, Statistics and Methodological Studies
Independent & Dependent Variables http://www.cs.umd.edu/~mstark/exp101/expvars.html The concept of independent and dependent variables is no different than that seen in introductory algebra. In the equation F = 1.8 * C +32, C is the independent variable, and F the dependent variable, because changes in F depend on changes in C. If the equation were written C = (F -32) / 1.8, then C would be the dependent variable and F the independent variable.
Relationship between statistics & designs http://web.utk.edu/~toddc/design.html Research Designs What is a design? Why is it important? Types of designs
Analysis
Quantitative Analysis
http://www.uiah.fi/projects/metodi/180.htm
The Logic of Studying Quantities
Data Analysis page for more on data cleaning, descriptive and inferential statistics
Statistics
A New View of Statistics http://www.sportsci.org/resource/stats/index.html ******* Excellent resource for statistics and data analysis.
The Statistics Homepage
http://www.statsoft.com/textbook/stathome.html
-The Electronic Textbook begins with an overview of the relevant elementary
(pivotal) concepts and continues with a more in depth exploration of specific
areas of statistics, organized by "modules," accessible
by buttons, representing classes of analytic techniques. A glossary
of statistical terms and a list of references for further study are included.
A SAMPLER OF WWW RESOURCES FOR TEACHING STATISTICS http://it.stlawu.edu/~rlock/maa51/java.html Section 4- JAVA Demonstrations The emergence of JAVA as a platform-independent web programming language has encouraged individuals to develop interactive demonstration software that can be accessed via any JAVA-capable browser.
Related links http://www.dartmouth.edu/~chance/RelatedSources/sources.html Robin Lock at St. Lawrence University maintains an extensive collection of links for teaching statistics. For an overview of his collection and talks that he has given relating to this collection go to his homepage.
Statistics and Statistical Graphics Resources http://www.math.yorku.ca/SCS/StatResource.html This page provides an annotated, topic-based collection of available resources for statistics, statistical graphics, and computation related to research, data analysis and teaching, now containing over 580 links.
A few links related to Statistics Education http://www.helsinki.fi/~jpuranen/links.html This is my list of some useful links related to Statistics Education - Online Statistical teaching material, courses , handouts, exercises, articles, datasets, Useful lists of links e.t.c ..
INTRODUCTORY STATISTICS: CONCEPTS, MODELS, AND APPLICATIONS http://www.psychstat.smsu.edu/sbk00.htm
Books, Journals, Articles and other references
Article
Quantitative and Research Methods in Planning: Are Schools Teaching What Practitioners Practice? Sanda Kaufman and Robert Simons Journal of Planning, Education and Research, 1995, Vol. 15 #1, pp. 17-34 http://urban.csuohio.edu/~sanda/papers/qrm.htm This paper offers a framework for reexamining the set of skills and techniques included in the quantitative and research methods curricula of American graduate planning programs. These offerings, viewed as the supply of skills, are compared to the demand -- skills and techniques used by U. S. planning practitioners. The analysis explores the match between supply, current demand, and skills and techniques practitioners claim they intend to use in the future. Results of the analysis are linked with 1986 work by Contant and Forkenbrock. The quantitative curricular offerings of planning programs are found to be relatively unresponsive to current and future practitioner demand for skills. Directions for possible curriculum changes are suggested.
Courses Online and other related information
Courses Online
Advanced Quantitative Research
Methodology, G2001
http://gking.harvard.edu/g2001syl/g2001syl.html
Virtual Laboratories in Probability and Statistics http://random.math.uah.edu/stat/ The goal of this project is to provide interactive, web-based resources for students and teachers of probability and statistics.
Programs
College of Education Programs
QUANTITATIVE RESEARCH METHODS
http://www.du.edu/education/qrm.html
Feb 2001