The reference interview

Slides:



Advertisements
Similar presentations
DLI Orientation: Concepts A Framework for Thinking about Statistical Information Train the Trainers Montreal, March 9, 2004 Chuck Humphrey Data Library.
Advertisements

Computer Science: A Structured Programming Approach Using C Converting File Type A rather common but somewhat trivial problem is to convert a text.
Chuck Humphrey Data Library University of Alberta.
Small Area Statistics (Tiny, tricky geographies, and the people who need them)
Quantitative Evidence for Marketing Data Library, Rutherford North 1 st Floor Chuck Humphrey Data Library October 26, 2009.
Jump to first page Information Management Process Information adapted from Prince William County Information Management Manual.
Knowledge is Power Marketing Information System (MIS) determines what information managers need and then gathers, sorts, analyzes, stores, and distributes.
Quantitative Evidence for Marketing Data Library, Rutherford North 1 st Floor Chuck Humphrey Data Library March 6, 2009.
Statistics and Data for Marketing Data Library, Rutherford North 1 st Floor Chuck Humphrey Data Library October 27, 2008.
EAS 293 Data Library, Rutherford North 1 st Floor Chuck Humphrey Data Library October 14, 2008.
Requirements Gathering : Determining the scope of the system 1. Elicitiation – fact finding 2. Specification 3. Validation.
Operational Data Tools Chapter Eight. Copyright © Houghton Mifflin Company. All rights reserved.8–28–2 Chapter Eight Learning Objectives To learn database.
Merging census aggregate statistics with postal code-based microdata Laine Ruus University of Toronto. Data Library Service ,
Survey Data Management and Combined use of DDI and SDMX DDI and SDMX use case Labor Force Statistics.
Doing data & statistics at the reference desk (some of) what you’ll need to know OLA Super Conference Walter W. Giesbrecht Data Librarian,
Amt für Statistik Berlin-Brandenburg Dr. Peter LohaußState Statistical Institute Berlin-Brandenburg Q 2010 Helsinki 5. May 2010 Managing Processes in Data.
Data Reference (the very, very basics) Data-reference: what do we need? Tools Strategies Terminology Understanding of what we are looking for: not.
1 Peter Fox Xinformatics 4400/6400 Week 11, April 16, 2013 Information Audit and dealing with Unstructured Information.
Data and Social Research Chuck Humphrey Data Library Rutherford North Library.
Research Tools and Techniques The Research Process: Step 7 (Data Analysis Part C) Lecture 30.
Chuck Humphrey, University of Alberta Atlantic DLI Training, 2008 DLI Orientation: Concepts A Framework for Thinking about Data and Statistics.
RIGOR IN ASSESSMENTS Nov 14 – Teach for America Break-Out Session.
DLI Workshop -- Mar Hosted by Dalhousie University March 2000 DLI Training Workshop.
CS 1308 Computer Literacy and The Internet Software.
Data Discovery The reference interview. Always begin by clarifying the distinction between statistics and data with your patron. Never assume that the.
Framework of Statistical Information. This is a typology of the categories or classes of statistical information. Remember the relationship between statistics.
Creating Something from Nothing: Synthetic and Dummy files Bo Wandschneider University of Guelph Chuck Humphrey University of Alberta DLI Training: Ottawa,
Data Reference The data reference interview And… Cool tools and strategies.
Economic Research and Policy Analysis Branch May 6, 2010 Access to Business Micro-Data to Support Economic Research and Policy Analysis: Where Do We Go.
Sociology 343 Chuck Humphrey Data Library University of Alberta.
Continuous Improvement. Focus of the Review: Continuous Improvement The unit will engage in continuous improvement between on-site visits. Submit annual.
Distributed Data Analysis & Dissemination System (D-DADS ) Special Interest Group on Data Integration June 2000.
Handling Reference Questions DLI Orientation Session Kingston, Ontario April 5, 2004.
© 2008 Oracle Corporation – Proprietary and Confidential 1.
A. The “Interactive Interview”. How it differs from the typical Social Survey.
Audit Evidence Process
Dr. Michael R. Hyman, NMSU Stages of the Research Process.
Conducting Research in the Social Sciences (From: Individuals and Families: A Diverse Perspective (2010))
McGraw-Hill/Irwin PPT Module 22 Finding, Analyzing, and Documenting Information ©2007, The McGraw-Hill Companies, All Rights Reserved.
The population in a statistical study is the entire group of individuals about which we want information The population is the group we want to study.
Grade 7 & 8 Mathematics Reporter : Richard M. Oco Ph. D. Ed.Mgt-Student.
Hosted by the University of Regina Library December 1999 DLI Training Workshop Chuck Humphrey.
Search Strategies Outcomes from the “Different Starting Points” Lab Exercise.
Rural Development Finding data and statistics.  Statistics Canada: Federal statistical agency  Data released under the Data Liberation Initiative (DLI)
Role of Metadata in dissemination of census data Regional Seminar on dissemination and spatial analysis of census data, Nairobi, September, 2010.
Quantitative Methods for Business Studies
Navigating Your Way Through the EFT, Nesstar and Beyond 20/20 (WDS)

Decision Support Systems
Designing a Spatial/GIS Project
Creating Something from Nothing: Working with Synthetic Files
Unit 5: Hypothesis Testing
CHAPTER OVERVIEW The Format of a Research Proposal Being Neat
Lecture 2 Introduction to Programming
The Starting Point: Asking Questions
An Example of Working with Data Documentation
Data Collection and Sampling
Significance Tests: The Basics
Significance Tests: The Basics
University of Regina Library
New Decennial Census Resources
Conducting Marketing Research
Please leave at least a 25mm margin on all sides to avoid cropping during printing. Remove this text box before submitting. Title J. A. Smith1, M. B. Fields2.
The role of metadata in census data dissemination
Do Now: Credibility – 2. Relevance – 3. Statistic – 4. Fact –
Social Studies Method.
Income Poverty Status Education The Labor Force Journey To Work
CHAPTER OVERVIEW The Format of a Research Proposal Being Neat
The Scientific Method.
GSIM overview Mauro Scanu ISTAT
Presentation transcript:

The reference interview Data Discovery The reference interview

The reference interview Always begin by clarifying the distinction between statistics and data with your patron. Never assume that the patron clearly knows this distinction. Asking them if they want statistics or data isn’t a good starting question, though. Ask a question that will help you understand what they might be seeking using the “frameworks” understanding of data sources...

Frameworks Table Dimensions: Geography Time Subject content

The reference interview What does the patron intend to do with the numbers? What is their objective? Include a statistic or two in a report? Analyze data? What geographic area is needed? What is the smallest geographic area to be described? What time period is needed? What subject matter (variables) expressed in numbers is needed?

The reference interview If you determine the patron does need data: Determine what population (unit of observation) they want to describe. Do they need aggregate data or microdata? Do they need spatial data? What software does the patron intend to use? How would the patron like the data delivered?

Level of service How much you do depends on the level of service you are offering. Finding a resource Retrieving a resource from an online service Tailoring a product for the patron Creating a product for a patron (e.g., postal code conversion linkage)

Does the person want one number? Are they pursuing a fact or figure? Want to know “how many?” Statistics in print or ready-ref. electronic source? YES YES Go to print or ready ref. electronic source. Now we know enough to take a first look at the reference interview. Flow chart showing decisions making points. Statistical question Fact There is a statistical source statistical abstract volume of census publication

Does the person want one number? Are they pursuing a fact or figure? Want to know “how many?” YES Statistics in print or ready-ref. electronic source? Are the data accessible in computer-readable form? NO YES Go to computer-readable source. YES Go to print or ready ref. electronic source. But if no statistical publication exists… it might be possible to extract the statistics from a data file…. We’re going to going to leave the reference question part 1 for long enough to look at some data and how one might handle a statistics question with a datafile. Extract relevant data from computer-readable source and compile statistics using appropriate software.