Data visualization of social survey analysis: a note for researchers
|
|
- Sharon Cross
- 8 years ago
- Views:
Transcription
1 Data visualization of social survey analysis: a note for researchers Tania Burchardt, October 2012 Background This note arises from a British Academy project (ref MC110753) which involved testing various representations of results from analysis of the Life Opportunities Survey with nonacademic audiences, including civil servants and practitioners in the voluntary sector. The problem Analysis of large-scale survey data can produce powerful conclusions and is a common component of research in the social sciences. However, the techniques of analysis including cross-tabulations, significance testing and multiple regression do not lend themselves to straightforward communication with non-academic audiences, such as policymakers, journalists and campaigners. Often there seems to be a trade-off between representing results accurately and fully on the one hand, and representing results in a way which tells a story to non-specialists on the other. This note explores ways in which these twin objectives may be met. Considerations Good visualization means communicating clearly a message based on the results of the data analysis. But different messages may be most relevant for different audiences, so it is necessary in the first instance to think about who our audiences are, secondly to work out which results or messages from the results are most relevant for those audiences, and thirdly to design visualizations which best communicate those particular messages for those specific audiences. For example, in this project, results on inequalities in participation in leisure and cultural activities were presented to Age UK and to Disability Rights UK. The former were of course particularly interested in contrasts between the over- and under-65s, and in differences among the older population, while the latter were particularly interested in contrasts between disabled and non-disabled people, with age as a secondary consideration. These were more clearly communicated in separate graphics, even though the underlying analysis was the same. As academics we are generally reluctant to spell out key messages too explicitly, preferring to present the data and leave our readers to draw their own conclusions. But feedback from civil servants and voluntary sector practitioners in this project consistently favoured explicit messaging, for example, through use of the title of a slide or graphic: options A or B, rather than option C below. Indeed this was regarded as essential by one civil servant, if the audience was senior policy officials or ministers. 1
2 Percent with impairment Percent with impairment Percent with impairment Putting the message in the title helps (A or B preferred to C) Option A Rates of impairment increase with age and are higher for women than for men in all age groups except the oldest to to to to to to to and over Women Men Option B Rates of impairment by age and sex Rates of impairment increase with age and are higher for women than for men in all age groups except 85 and over Women Men to to to to to to to and over Option C Rates of impairment by age and sex Women Men 0 16 to to to to to to to and over 2
3 As academics we are also used to demonstrating our credentials by naming the technique we have used (for example, ordered logit regression) and including information to show that we have thoroughly tested the validity of our model. Communicating our expertise and authority may be an important part of the message to our audience, but it is best dealt with separately, for example in an introductory slide giving details of the project team and/or methodology. Generally, technical details detract from, rather than contribute to, graphics intended to communicate to non-specialist audiences (Option D preferred to Option E below). A number of other contrasts between Options D and E can be observed: Orientation: chart labels are easier to read if the text is horizontal. This may mean rotating the chart (eg bars rather than columns). Order of elements: in Option D, the groups of bars conveying the most important information (in this case, the characteristics which have the strongest association with risk of impairment) are at the top of the chart. In addition, the reference category within each group comes first. Confidence intervals: in Option D, confidence intervals have been removed, and instead the bar representing a category which is not statistically significant at the 95% level is made transparent. Whether or not this is appropriate depends on whether differences between categories within a group are important (for example, if knowing that age is significantly different from age is part of the message, confidence intervals should be shown). Where confidence intervals are shown, it is considered best practice not to include cross-bars (unlike in Option E), since these draw attention to the ends of the range, which are not particularly important. In general, civil servants and practitioners interviewed for this project thought that showing which results were significantly different from zero was useful, but that confidence intervals themselves were too fiddly and detracted visually from the key message. Marginal probabilities: logit or probit coefficients indicate whether the association is positive or negative but their size is not intuitively interpretable. Logistic results are sometimes presented as odds ratios but interpretation going beyond negative and positive association (above or under 1 in the case of odds ratios) is difficult for non-specialists. Probit regressions usually produce results very similar to logistic regression, and can be reported as marginal probabilities. This may be preferable, although marginal probabilities must be calculated for a particular set of values of the covariates (usually, the mean). Whichever metric is used, the interpretation needs to be spelled out as clearly as possible within the graphic. 3
4 4
5 Option D Remove technical detail unless it is essential to the message (D preferred to E) Option E 5
6 Dynamic and interactive presentations Thus far, we have assumed that the visualization is static. Where dynamic elements can be introduced for example, in a live presentation or where an electronic resource is being developed - new possibilities open up. The first is to add elements sequentially, allowing the audience to absorb pieces of information one at a time. For example, the chart shown above as Option A could be built up showing the overall age distribution of impairment first, followed by the distribution for women and finally that for men. Another possibility is to show an overall graphic with lots of information to give an overall picture (like Option D), and then to unpack it, highlighting the key messages individually for example, homing in on the results by age and explaining them in more detail. Prezi is a presentation software package designed to enable this to happen (see Useful sources below). Screencasting is a technique in which conventional Powerpoint-style slides are interspersed with short videos of someone talking (for example, explaining the interpretation of the slide). In general, reducing the number of messages per graphic will help to clarify, and this is much easier to achieve in a dynamic presentation. Finally, where interaction is possible, for example, through a webpage or other digital publishing, it is possible to filter the information displayed according to the user s interests. A set of simple headline results or eye-catching graphics can be offered as an entry point. Users can click on those which interest them, leading to a more detailed breakdown or fuller description, and this can continue until full technical detail or even the raw data are displayed. The British Social Attitudes Survey 2012 digital edition is an example of this approach (see Useful sources). Final note Good visualization is time-consuming: identifying audiences and key messages; creating suitable graphics; testing and refining them. Copying and pasting Stata output into a Word document is quick and may be sufficient for some purposes. Using off-the-peg solutions, such as standard charts in Excel or Powerpoint, takes several steps, including reorganising the data and selecting the results to present. But in many cases, a graphic tailored for the specific audience and message will be necessary, and this can take anything from a few minutes to a few hours for each chart. Sufficient allowance of time and resources for visualization needs to be built in at project planning stage. 6
7 Useful sources Oxford Consultants for Social Inclusion (OCSI) / Communities and Local Government Improving data visualization for the public sector dataviz project - good discussion of the principles of visualization - gallery of examples - links to web-based resources, including chart choosers Tufte, E (2001) The Visual Display of Quantitative Information. Graphics Press. - a useful discussion and guide to data visualization British Social Attitudes 2012 edition - an example of interactive presentation of data, starting with headlines and clicking through to gradually more detailed breakdowns, analysis and interpretation Camtasia - screencasting software Prezi - presentation software package that enables an overview graphic to be broken down into component parts. Designed mainly for conceptual rather than statistical presentations, but could be adapted. 7
Step 6: Report Your PHDS-PLUS Findings to Stimulate System Change
Step 6: Report Your PHDS-PLUS Findings to Stimulate System Change Sharing information from the PHDS-PLUS can help you launch or strengthen partnerships and efforts to improve services, policies, and programs
More informationStatistics in Retail Finance. Chapter 2: Statistical models of default
Statistics in Retail Finance 1 Overview > We consider how to build statistical models of default, or delinquency, and how such models are traditionally used for credit application scoring and decision
More informationHow to Get More Value from Your Survey Data
Technical report How to Get More Value from Your Survey Data Discover four advanced analysis techniques that make survey research more effective Table of contents Introduction..............................................................2
More informationSimple Predictive Analytics Curtis Seare
Using Excel to Solve Business Problems: Simple Predictive Analytics Curtis Seare Copyright: Vault Analytics July 2010 Contents Section I: Background Information Why use Predictive Analytics? How to use
More informationBriefing document: How to create a Gantt chart using a spreadsheet
Briefing document: How to create a Gantt chart using a spreadsheet A Gantt chart is a popular way of using a bar-type chart to show the schedule for a project. It is named after Henry Gantt who created
More informationAnalyzing Experimental Data
Analyzing Experimental Data The information in this chapter is a short summary of some topics that are covered in depth in the book Students and Research written by Cothron, Giese, and Rezba. See the end
More informationVisualizing Data from Government Census and Surveys: Plans for the Future
Censuses and Surveys of Governments: A Workshop on the Research and Methodology behind the Estimates Visualizing Data from Government Census and Surveys: Plans for the Future Kerstin Edwards March 15,
More informationModule 2: Introduction to Quantitative Data Analysis
Module 2: Introduction to Quantitative Data Analysis Contents Antony Fielding 1 University of Birmingham & Centre for Multilevel Modelling Rebecca Pillinger Centre for Multilevel Modelling Introduction...
More informationData exploration with Microsoft Excel: univariate analysis
Data exploration with Microsoft Excel: univariate analysis Contents 1 Introduction... 1 2 Exploring a variable s frequency distribution... 2 3 Calculating measures of central tendency... 16 4 Calculating
More informationVIRTUAL REFERENCE PRACTICES IN LIBRARIES OF INDIA
271 VIRTUAL REFERENCE PRACTICES IN LIBRARIES OF INDIA Abstract Mahendra Mehata As public access to the internet increases, libraries will receive more and more information online, predominantly through
More informationStudent Writing Guide. Fall 2009. Lab Reports
Student Writing Guide Fall 2009 Lab Reports The manuscript has been written three times, and each rewriting has discovered errors. Many must still remain; the improvement of the part is sacrificed to the
More informationLearning How to Tell the Story Behind Your Test Results
Learning How to Tell the Story Behind Your Test Results Karen N. Johnson Introduction Karen N. Johnson Independent Software Tester Board of Directors Software Test Expert Tech Target s Quality Site Blog
More informationMain Effects and Interactions
Main Effects & Interactions page 1 Main Effects and Interactions So far, we ve talked about studies in which there is just one independent variable, such as violence of television program. You might randomly
More informationTerms of Reference. Database and Website on Political Parties
Terms of Reference Database and Website on Political Parties Summary International IDEA is through its programme on Dialogue and Research on Political Parties (see Annex D for a programme overview) carrying
More informationSurvey Analysis Guidelines Sample Survey Analysis Plan. Survey Analysis. What will I find in this section of the toolkit?
What will I find in this section of the toolkit? Toolkit Section Introduction to the Toolkit Assessing Local Employer Needs Market Sizing Survey Development Survey Administration Survey Analysis Conducting
More information9 million people get sick with TB.
Every year 9 million people get sick with TB. 3 MILLION DON T GET THE CARE THEY NEED. HELP US TO REACH THEM. World TB Day 2015 WORLD TB DAY 24 MARCH 2015 2 the missed three million TB is curable, but our
More informationWorking with Spreadsheets
osborne books Working with Spreadsheets UPDATE SUPPLEMENT 2015 The AAT has recently updated its Study and Assessment Guide for the Spreadsheet Software Unit with some minor additions and clarifications.
More informationWHO STEPS Surveillance Support Materials. STEPS Epi Info Training Guide
STEPS Epi Info Training Guide Department of Chronic Diseases and Health Promotion World Health Organization 20 Avenue Appia, 1211 Geneva 27, Switzerland For further information: www.who.int/chp/steps WHO
More informationCity of St. Petersburg, Florida Fiscal & Budget Transparency Tool User Guide. Last Updated: March 2015
City of St. Petersburg, Florida Fiscal & Budget Transparency Tool User Guide Last Updated: March 2015 St. Petersburg s Fiscal and Budget Transparency Tool allows you to explore budget and historical finances
More informationStandard 1: Provide Effective, Equitable, Understandable, and Respectful Quality Care and Services
Community Counseling Center of Central Florida, LLC P.O. Box 161585 Altamonte Springs, FL 32716-1585 W. 407.291.8009 F. 407.770-5503 www.ccccf.org CCCCF commits to embracing, implementing and practicing
More informationReaching New Customers With E-Mail Newsletters An Executive White Paper
Reaching New Customers With E-Mail Newsletters An Executive White Paper Coravue, Inc. 7742 Redlands St., #3041 Los Angeles, CA 90293 USA (310) 305-1525 www.coravue.com Table of Contents Introduction...1
More informationHAWAII SCHOOLS CATCHAFIRE PROJECT GUIDE 1 PROJECT MENU GUIDE
HAWAII SCHOOLS CATCHAFIRE PROJECT GUIDE 1 PROJECT MENU GUIDE MARKETING & Brand Messaging Communication Materials Audit Communications Strategy Storytelling Copywriting Print Materials Design E-Newsletter
More informationSAS R IML (Introduction at the Master s Level)
SAS R IML (Introduction at the Master s Level) Anton Bekkerman, Ph.D., Montana State University, Bozeman, MT ABSTRACT Most graduate-level statistics and econometrics programs require a more advanced knowledge
More informationSpreadsheet software for linear regression analysis
Spreadsheet software for linear regression analysis Robert Nau Fuqua School of Business, Duke University Copies of these slides together with individual Excel files that demonstrate each program are available
More informationelearning Guide: Instructional Design
elearning Guide: Instructional Design Produced by NHS Education for Scotland, 2013 Introduction This e-learning Guide provides the standards to be followed when developing content Web-based Training (WBT)
More informationWeb Copywriting and Web News. Get seen first with matm
Web Copywriting and Web News Get seen first with matm Web Copywriting and Web News from matm If you want to attract more online customers and clients and become more successful, it is essential that the
More informationAds Analytics. User Guide
Ads Analytics User Guide For many marketers, measuring ad performance is either too complicated or time-consuming. Too much time is wasted wading through meaningless metrics, struggling to get an aggregated
More informationScatter Plots with Error Bars
Chapter 165 Scatter Plots with Error Bars Introduction The procedure extends the capability of the basic scatter plot by allowing you to plot the variability in Y and X corresponding to each point. Each
More informationDesigning a Poster using MS-PowerPoint
Designing a Poster using MS-PowerPoint TABLE OF CONTENTS Introduction... 3 Main components of a poster... 3 Setting up your poster... 5 Setting up the document size... 5 Configuring the grid and guides...
More informationReporting Manual. Prepared by. NUIT Support Center Northwestern University
Reporting Manual Prepared by NUIT Support Center Northwestern University Updated: February 2013 CONTENTS 1. Introduction... 1 2. Reporting... 1 2.1 Reporting Functionality... 1 2.2 Creating Reports...
More informationInstructional Design for Online Learning
Instructional Design for Online Learning Instructional Design refers to the practice of developing instructional experiences which make the acquisition of knowledge and skill more efficient, effective
More informationState of Access Report
improving deaf and disabled people s access to live music www.attitudeiseverything.org.uk @attitudetweets State of Access Report Executive Summary Surveying UK Live Music Accessibility for Deaf and Disabled
More informationSoftware Metrics & Software Metrology. Alain Abran. Chapter 4 Quantification and Measurement are Not the Same!
Software Metrics & Software Metrology Alain Abran Chapter 4 Quantification and Measurement are Not the Same! 1 Agenda This chapter covers: The difference between a number & an analysis model. The Measurement
More informationUnit 12 Logistic Regression Supplementary Chapter 14 in IPS On CD (Chap 16, 5th ed.)
Unit 12 Logistic Regression Supplementary Chapter 14 in IPS On CD (Chap 16, 5th ed.) Logistic regression generalizes methods for 2-way tables Adds capability studying several predictors, but Limited to
More informationSkySpark Tools for Visualizing and Understanding Your Data
Issue 20 - March 2014 Tools for Visualizing and Understanding Your Data (Pg 1) Analytics Shows You How Your Equipment Systems are Really Operating (Pg 2) The Equip App Automatically organize data by equipment
More informationPresentation Skills. Careers & Employability Service www.mmu.ac.uk/careers/guides
Presentation Skills This guide is part of the Applications and Interviews series. For more guides in the series please visit the website below. Careers & Employability Service www.mmu.ac.uk/careers/guides
More informationPay Per Click Marketing Specialists
Pay Per Click Marketing Specialists INTRODUCTION Welcome to Ocatio s Pay Per Click overview! We have produced this brochure in the hope that it will show you how Ocatio operates once we have taken over
More informationPublic Relations (Ontario College Graduate Certificate) Program Standard
Public Relations (Ontario College Graduate Certificate) Program Standard The approved program standard for Public Relations program of instruction leading to an Ontario College Graduate Certificate delivered
More informationSpecial Reports. Finding Actionable Insights through AdWords Reporting
Special Reports Finding Actionable Insights through AdWords Reporting Introduction We re closer than we ve ever been to understanding which aspects of our marketing work. Impressions, clicks, conversions
More informationInstructional Design Techniques for Creating Effective e-learning
www.elearningguild.com Instructional Design Techniques for Creating Effective e-learning Sighle Brackman, Trivantis 608 Instructional Design Techniques For Creating Effective Elearning Presentation Purpose
More informationSAS BI Dashboard 3.1. User s Guide
SAS BI Dashboard 3.1 User s Guide The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2007. SAS BI Dashboard 3.1: User s Guide. Cary, NC: SAS Institute Inc. SAS BI Dashboard
More informationReporting. Understanding Advanced Reporting Features for Managers
Reporting Understanding Advanced Reporting Features for Managers Performance & Talent Management Performance & Talent Management combines tools and processes that allow employees to focus and integrate
More informationEffective Big Data Visualization
Effective Big Data Visualization Every Picture Tells A Story Don t It? Mark Gamble Dir Technical Marketing Actuate Corporation 1 Data Driven Summit 2014 Agenda What is data visualization? What is good?
More informationSearch help. More on Office.com: images templates
Page 1 of 7 PowerPoint 2010 Home > PowerPoint 2010 Help and How-to > Getting started with PowerPoint Search help More on Office.com: images templates Basic tasks in PowerPoint 2010 Here are some basic
More informationIntermediate PowerPoint
Intermediate PowerPoint Charts and Templates By: Jim Waddell Last modified: January 2002 Topics to be covered: Creating Charts 2 Creating the chart. 2 Line Charts and Scatter Plots 4 Making a Line Chart.
More informationCSU, Fresno - Institutional Research, Assessment and Planning - Dmitri Rogulkin
My presentation is about data visualization. How to use visual graphs and charts in order to explore data, discover meaning and report findings. The goal is to show that visual displays can be very effective
More informationENHANCING MATHEMATICS TEACHER EDUCATION COURSES THROUGH THE USE OF TECHNOLOGY
ENHANCING MATHEMATICS TEACHER EDUCATION COURSES THROUGH THE USE OF TECHNOLOGY Jessica A. de la Cruz Assumption College 500 Salisbury St, Worcester, MA 01609 jdelacruz@assumption.edu INTRODUCTION The focus
More informationMultinomial Logistic Regression
Multinomial Logistic Regression Dr. Jon Starkweather and Dr. Amanda Kay Moske Multinomial logistic regression is used to predict categorical placement in or the probability of category membership on a
More informationExperiment: Static and Kinetic Friction
PHY 201: General Physics I Lab page 1 of 6 OBJECTIVES Experiment: Static and Kinetic Friction Use a Force Sensor to measure the force of static friction. Determine the relationship between force of static
More informationINTRODUCTION TO HANA & TABLEAU
INTRODUCTION TO HANA & TABLEAU UKAT Institutional Research & Advanced Analytics analytics@uky.edu AGENDA Introductions What is HANA? What s in HANA? The HANA Codebook What is Tableau? What can I do with
More informationTUTORIAL: Reporting Gold-Vision 6
Reporting Using SQL reporting Services Tutorial Objectives: Introduction to Gold-Vision Reporting Standard Reports Searching for a Report Running a Standard Report Viewing a Report Exporting Data Example
More informationThe benefits of using presentation software in the classroom include:
NCTE ICT in the Classroom Presentation software - focus on literacy & numeracy (Primary) Ref: 12-11 Introduction The purpose of this document is to provide an overview of the benefits of using presentation
More informationAtomic Force Microscope and Magnetic Force Microscope Background Information
Atomic Force Microscope and Magnetic Force Microscope Background Information Lego Building Instructions There are several places to find the building instructions for building the Lego models of atomic
More informationThis book serves as a guide for those interested in using IBM
1 Overview This book serves as a guide for those interested in using IBM SPSS/PASW Statistics software to aid in statistical data analysis whether as a companion to a statistics or research methods course
More informationAN INTRODUCTION TO PHARSIGHT DRUG MODEL EXPLORER (DMX ) WEB SERVER
AN INTRODUCTION TO PHARSIGHT DRUG MODEL EXPLORER (DMX ) WEB SERVER Software to Visualize and Communicate Model- Based Product Profiles in Clinical Development White Paper July 2007 Pharsight Corporation
More informationLEARNING, DESIGN AND TECHNOLOGY CAPSTONE PROJECT GUIDELINES
LEARNING, DESIGN AND TECHNOLOGY CAPSTONE PROJECT GUIDELINES For CUIN LDT Master s Students PURPOSE OF THE LDT CAPSTONE PROJECT As part of the program requirements for the Learning, Design & Technology
More informationCONTENTS 1. INTRODUCTION 1 2. EQUALITY 1. - Part-time posts 1 - Equality proofing JESP scores 1 3. CABINET OFFICE ROLE 1 4. TRADE UNION ROLE 2
JESP Job Evaluation for Senior Posts Good Practice Guide March 2008 CONTENTS Page 1. INTRODUCTION 1 2. EQUALITY 1 - Part-time posts 1 - Equality proofing JESP scores 1 3. CABINET OFFICE ROLE 1 4. TRADE
More informationHE STEM Staff Culture Survey Guidance
HE STEM Staff Culture Survey Guidance 1 1. Introduction The steps that lead to gender equality within organisations are also those that promote good employment practice and an inclusive environment for
More informationMount Gilbert School Planning
TITLE OF PROJECT Citizenship AIMS OF PROJECT: This unit will focus on introducing learners to citizenship (KS3 level). It will encompass some introductory knowledge of citizenship and give learners a chance
More informationReflective Writing. How do you write reflectively? Stages of reflective thinking
Reflective Writing Reflective Writing There are a variety of reasons you might need to write reflectively. When you apply for jobs, undertake self-evaluation at work or whilst studying, or when writing
More informationExemplar Candidate Work
Exemplar Candidate Work GCE in Applied ICT OCR Advanced GCE in Applied ICT: H515/H715 Candidate A: Unit G048: Working to a Brief OCR 2011 Contents Contents 2 Introduction 3 Moderator s Commentary: Candidate
More informationCSI: Exploring Forensic Science Level 2
Short Course for June 2014 Contents Page 3 Short courses and Learning Programmes Page 4 Introduction to junior cycle Page 5 Rationale Page 6 Aim Page 7 Links Page 10 Expectations for students 11 Strand
More informationsuccessful email marketing design
successful email marketing design At Bigfork we are saddened to see so many marketing emails with poor content and design. These things ruin click-through rates and bore most folk into unsubscribing. This
More informationHOW TO USE DATA VISUALIZATION TO WIN OVER YOUR AUDIENCE
HOW TO USE DATA VISUALIZATION TO WIN OVER YOUR AUDIENCE + TABLE OF CONTENTS HOW DATA SUPPORTS YOUR MESSAGE 1 Benefits of Data Visualization WHEN TO USE DATA VISUALIZATION HOW TO FIND THE STORY IN YOUR
More informationImproved Interaction Interpretation: Application of the EFFECTPLOT statement and other useful features in PROC LOGISTIC
Paper AA08-2013 Improved Interaction Interpretation: Application of the EFFECTPLOT statement and other useful features in PROC LOGISTIC Robert G. Downer, Grand Valley State University, Allendale, MI ABSTRACT
More informationInformation Technology Services will be updating the mark sense test scoring hardware and software on Monday, May 18, 2015. We will continue to score
Information Technology Services will be updating the mark sense test scoring hardware and software on Monday, May 18, 2015. We will continue to score all Spring term exams utilizing the current hardware
More informationSTATISTICA Formula Guide: Logistic Regression. Table of Contents
: Table of Contents... 1 Overview of Model... 1 Dispersion... 2 Parameterization... 3 Sigma-Restricted Model... 3 Overparameterized Model... 4 Reference Coding... 4 Model Summary (Summary Tab)... 5 Summary
More informationMarketing Services California Master Services Agreement Business Management Consulting Services No. 5-06-99-41 to December 30, 2009
Table of Contents (Click on topic to go directly to that section.) Marketing Services 2 Marketing/Public Relations Plans, Analysis, and Development Market and/or Research Surveys Multi-media Production
More informationStudent oral presentation marking sheet
Student oral presentation marking sheet [Written by John Ramsay & Peter Davies] [www.staffs.ac.uk/schools/business/bsadmin/staff/s3/jamr.htm] Many of the criteria detailed below are used by staff in the
More informationHow to set the main menu of STATA to default factory settings standards
University of Pretoria Data analysis for evaluation studies Examples in STATA version 11 List of data sets b1.dta (To be created by students in class) fp1.xls (To be provided to students) fp1.txt (To be
More informationSAS Software to Fit the Generalized Linear Model
SAS Software to Fit the Generalized Linear Model Gordon Johnston, SAS Institute Inc., Cary, NC Abstract In recent years, the class of generalized linear models has gained popularity as a statistical modeling
More informationThis book serves as a guide for those interested in using IBM SPSS
1 Overview This book serves as a guide for those interested in using IBM SPSS Statistics software to assist in statistical data analysis whether as a companion to a statistics or research methods course,
More informationLogistic Regression. BUS 735: Business Decision Making and Research
Goals of this section 2/ 8 Specific goals: Learn how to conduct regression analysis with a dummy independent variable. Learning objectives: LO2: Be able to construct and use multiple regression models
More informationPsy 210 Conference Poster on Sex Differences in Car Accidents 10 Marks
Psy 210 Conference Poster on Sex Differences in Car Accidents 10 Marks Overview The purpose of this assignment is to compare the number of car accidents that men and women have. The goal is to determine
More informationTeaching with PowerPoint
Teaching with PowerPoint PowerPoint can be an effective tool to present material in the classroom and encourage student learning. PowerPoint, when effectively planned and used, can enhance instruction.
More information3D Interactive Information Visualization: Guidelines from experience and analysis of applications
3D Interactive Information Visualization: Guidelines from experience and analysis of applications Richard Brath Visible Decisions Inc., 200 Front St. W. #2203, Toronto, Canada, rbrath@vdi.com 1. EXPERT
More informationIn a recent online survey, 93% of journalists say they use the Internet to find news sources.
Volume 1, Issue 5 ONLINE NEWSROOMS In the 24-hour news environment, online newsrooms can provide up-to-theminute information for reporters, bloggers, experts, researchers and others interested in a particular
More informationOvercoming the Challenges of B-to-B Marketing: Using Testing and Optimization to Increase Lead Generation and Conversion
Overcoming the Challenges of B-to-B Marketing: Using Testing and Optimization to Increase Lead Generation and Conversion EXECUTIVE SUMMARY B-to-B lead generation is a balancing act that requires marketers
More informationOnline Lead Generation Guide for Home-Based Businesses
Online Lead Generation Guide for Home-Based Businesses A PresenterNet Publication 2009 2004 PresenterNet Page 1 Online Lead Generation Guide for Home-Based Businesses Table of Contents Creating Home-Based
More informationSocial Return on Investment
Social Return on Investment Valuing what you do Guidance on understanding and completing the Social Return on Investment toolkit for your organisation 60838 SROI v2.indd 1 07/03/2013 16:50 60838 SROI v2.indd
More informationAssessment and Instruction: Two Sides of the Same Coin.
Assessment and Instruction: Two Sides of the Same Coin. Abstract: In this paper we describe our research and development efforts to integrate assessment and instruction in ways that provide immediate feedback
More informationLogic Modeling: A Tool to Guide Program Design and Performance Measurement and Evaluation: Telling your Performance Story
Logic Modeling: A Tool to Guide Program Design and Performance Measurement and Evaluation: Telling your Performance Story John A. McLaughlin MACGROUPX@AOL.COM My Aim Today Change the way you think about
More informationCARDIFF COUNCIL. Equality Impact Assessment Corporate Assessment Template
Policy/Strategy/Project/Procedure/Service/Function Title: Proposed Council budget reductions to grant funding to the Third Sector Infrastructure Partners New Who is responsible for developing and implementing
More informationA: We want to invest in this area because many young people:
Our Environment Our Future Questions and Answers Part One: Part Two: An overview of Our Environment Our Future Who can apply to be the UK portfolio Lead? Part Three: The application process Part Four:
More informationTHE USE OF ADVANCED VISUALISATION TOOLS FOR COMMUNICATING EUROPEAN DATA ON EARNINGS TO THE CITIZEN
Invited and refereed paper to be presented at the 7 th International Conference on Teaching Statistics (ICOTS 7), San Salvadore, Bahia, Brazil, 2 7 July 2006 THE USE OF ADVANCED VISUALISATION TOOLS FOR
More informationKeep managers better informed on their areas of responsibility and highlight the issues that require their attention with dashboards!
Meet Your Targets! Effective Performance Management certainly requires more than just the technology to support it. Expertise in KPI development, target setting, framework modeling, dashboard development
More informationBusiness Plan 2016-2017
Business Plan 2016-2017 March 2016 Contents Introduction... 3 About us... 5 Role of Registrar... 5 Objectives for 2016-17... 5 Work programme for 2016/17... 6 Activity 1 Continue to operate an accessible,
More informationCRGroup Whitepaper: Digging through the Data. www.crgroup.com. Reporting Options in Microsoft Dynamics GP
CRGroup Whitepaper: Digging through the Data Reporting Options in Microsoft Dynamics GP The objective of this paper is to provide greater insight on each of the reporting options available to you within
More informationBill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1
Bill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1 Calculate counts, means, and standard deviations Produce
More informationMicrosoft Courses. Microsoft Office 2007
Microsoft Courses Course Overview With over 90% of UK businesses using Microsoft Office, it's the world's leading software package. Our Microsoft Office course will show you how to operate the three main
More informationNational Commission for Academic Accreditation & Assessment
National Commission for Academic Accreditation & Assessment Standards for Quality Assurance and Accreditation of Higher Education Programs Evidence of Performance Judgments about quality based on general
More informationFigure 1. An embedded chart on a worksheet.
8. Excel Charts and Analysis ToolPak Charts, also known as graphs, have been an integral part of spreadsheets since the early days of Lotus 1-2-3. Charting features have improved significantly over the
More information7 Steps to Successful Data Blending for Excel
COOKBOOK SERIES 7 Steps to Successful Data Blending for Excel What is Data Blending? The evolution of self-service analytics is upon us. What started out as a means to an end for a data analyst who dealt
More informationChapter 11 Report and Research Basics
Topics in This Chapter Chapter 11 Report and Research Basics Ch. 11, Slide 1 Ch. 11, Slide 2 Topics in This Chapter Understanding Report Essentials Ch. 11, Slide 3 Ch. 11, Slide 4 Ten Truths You Should
More informationThe Work on Gender Mainstreaming in the Ministry of Employment by Agnete Andersen, legal adviser
The Work on Gender Mainstreaming in the Ministry of Employment by Agnete Andersen, legal adviser Agnete Andersen The outset for the work on gender mainstreaming Gender equality is a difficult bird because
More information2013 MBA Jump Start Program. Statistics Module Part 3
2013 MBA Jump Start Program Module 1: Statistics Thomas Gilbert Part 3 Statistics Module Part 3 Hypothesis Testing (Inference) Regressions 2 1 Making an Investment Decision A researcher in your firm just
More informationAXIS AWARDS APPLICATION PREPARATION DOCUMENT
AXIS AWARDS APPLICATION PREPARATION DOCUMENT INSTRUCTIONS PLEASE READ CAREFULLY This document lists all the questions in the online application form. Use this document to help prepare your application
More informationCreate Custom Tables in No Time
SPSS Custom Tables 17.0 Create Custom Tables in No Time Easily analyze and communicate your results with SPSS Custom Tables, an add-on module for the SPSS Statistics product line Share analytical results
More informationPHYSICAL SECURITY VENDORS WEB DIAGNOSTIC W W W. H A R T L E Y - S T O N E. C O M
PHYSICAL SECURITY VENDORS WEB DIAGNOSTIC W W W. H A R T L E Y - S T O N E. C O M PHYSICAL SECURITY VENDORS WEBSITE DIAGNOSTIC CONTENTS WHY? 2 ABOUT HARTLEY-STONE 2 THE DIAGNOSTIC METHODOLOGY 3 PHYSICAL
More informationPatient survey report 2008. Category C Ambulance Service User Survey 2008 North East Ambulance Service NHS Trust
Patient survey report 2008 Category C Ambulance Service User Survey 2008 The national Category C Ambulance Service User Survey 2008 was designed, developed and co-ordinated by the Acute Surveys Co-ordination
More information