accoleds, december 2002 university of victoria spreading the data gospel: statistical literacy 101...
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ACCOLEDS, December 2002 University of Victoria
Spreading the Data Spreading the Data Gospel:Gospel:
Statistical Literacy 101
Wendy WatkinsCarleton University
ACCOLEDS, December 2002 University of Victoria
ObjectivesObjectives To develop effective strategies to
increase: statistical literacy data use
To share ideas about data outreach
To develop a library of tools for use in class presentations and hands-on sessions
ACCOLEDS, December 2002 University of Victoria
OutlineOutline
Spreading the Data Gospel Developing general and theme-based
presentations Statistical Literacy
Tailoring exercises for specific audiences
Hands-on session
ACCOLEDS, December 2002 University of Victoria
Why Spread the Data Why Spread the Data Gospel?Gospel?
Increase awareness of data resources
Answer frequently asked questions before visits
Optimize the use of resources Encourage numeracy and the use
of numeric evidence in arguments
ACCOLEDS, December 2002 University of Victoria
Ways to Spread the Ways to Spread the GospelGospel
In-class presentations Workshops Newsletters Web-based publicity University lists University communications Handouts
ACCOLEDS, December 2002 University of Victoria
Gospel Chapters:Gospel Chapters:Parts of a Generic Parts of a Generic
PresentationPresentation Data Sources
Immediate collection Other sources
Web links Services Contacts and hours
ACCOLEDS, December 2002 University of Victoria
Data SourcesData Sources Immediate collection
DLI DMTI (if you are a member) ICPSR (if you are a member) On-line numeric databases Other local, provincial, national and
foreign sources
ACCOLEDS, December 2002 University of Victoria
Data Sources (cont’d)Data Sources (cont’d) What you can obtain from others (for
free!) Public Opinion
Gallup, POLLARA - Carleton Angus Reid - UBC Canadian Information Office - Nat Stone
Canadian Election Studies - ISR at York ISSP - Carleton All Alberta surveys (UofA) Heart-health data
ACCOLEDS, December 2002 University of Victoria
Data Sources (cont’d)Data Sources (cont’d) Data you can obtain (for a fee)
United Nations OECD Financial and stock data bases ????
ACCOLEDS, December 2002 University of Victoria
Web linksWeb links
Your datacentre Other Canadian datacentres Foreign data archives Best overall source:
Craig McKie: Research Resources for the Social Sciences: Data Archives
www.socsciresearch.com/r6.html
ACCOLEDS, December 2002 University of Victoria
ServicesServices Data services
Straight pass-through on request? Assisted searching for sources? Subsetting? Statistical formats? Consulting?
Data and/or statistics? Research methods? Commercial clientelle?
ACCOLEDS, December 2002 University of Victoria
Contacts and HoursContacts and Hours
Location Mailing address, telephone, fax E-mail address of service Hours of operation Web address
ACCOLEDS, December 2002 University of Victoria
Statistics and DataStatistics and Data
Data• numeric files created
and organized for
Statistics
ACCOLEDS, December 2002 University of Victoria
Statistical LiteracyStatistical Literacy
“The ability to look at and understand basic statistics critically ... critical thinking about arguments that use statistics as evidence.”
Milo Schield
ACCOLEDS, December 2002 University of Victoria
Statistical Literacy 101Statistical Literacy 101
Statistics before data? Whatever was she thinking?
ACCOLEDS, December 2002 University of Victoria
Why Statistics before Why Statistics before Data?Data?
Many groups are number shy Not ready for data Can intuitively understand numeric
arguments If they can be comfortable here,
they’ll run out of ‘canned’ answers, and …
… lead themselves to the data
ACCOLEDS, December 2002 University of Victoria
Our RoleOur Role
Promotion, not instruction Introduction to the use of
numerical/statistical evidence Give simple examples:
Height and weight are related Heavier people tend to be taller If I gain weight, can I expect to grow
in height?
ACCOLEDS, December 2002 University of Victoria
Another ExampleAnother Example
Two hunters and a bear Bear can run twice as fast as
hunters Innumerate hunter:
“ We’re cooked” Numerate hunter:
“Not if I can outrun you!”
ACCOLEDS, December 2002 University of Victoria
Find Data GemsFind Data Gems
GSS - Time Use Which group has LEAST leisure time?
Draw out the answers Gender - female Family status - single parent, small
kids Which group has MOST leisure time?
???????
ACCOLEDS, December 2002 University of Victoria
Context, Context, Context, Context, ContextContext
Developing statistical literacy depends, at first, on intuitive understanding, NOT statistical expertise
Use examples and exercises geared to the class Nurses Investigative journalism
ACCOLEDS, December 2002 University of Victoria
Tips for Creating Tips for Creating ExercisesExercises
KISS rules! Need to ensure success for all
Choose easily-manipulated databases CANSIM, E-STAT Community Profiles Pared-down B20/20 tables
Ask questions requiring analysis Make them think!!!!!
ACCOLEDS, December 2002 University of Victoria
In other words …..In other words …..
Ask leading questions Give provocative explanations for
ordinary findings Suggest the impossible Promote the improbable Encourage dissent!
ACCOLEDS, December 2002 University of Victoria
What to Expect from What to Expect from ClassesClasses
Undergraduates Need to coax participation Data dentistry
Graduates Have a lot of questions Eager, eager, eager Encourage a range of opinion with
explanations
ACCOLEDS, December 2002 University of Victoria
Sharing ExperiencesSharing Experiences
Triumphs and Disasters
ACCOLEDS, December 2002 University of Victoria
Sharing ExperiencesSharing Experiences
Success stories What worked for you?
Recovery strategies What worked for you?