Brad Wuetherick, GMCTE Krista Trinder, College of Medicine.

Slides:



Advertisements
Similar presentations
What can we learn from looking at the numbers in a data set?
Advertisements

If you are viewing this slideshow within a browser window, select File/Save as… from the toolbar and save the slideshow to your computer, then open it.
Making PowerPoint Slides
The Do s and Dont s of Presentations and Powerpoint
Poster & Project Presentations The Robert Gordon University
SADC Course in Statistics Sampling design using the Paddy game (Sessions 15&16)
INTRODUCTION TO THE GRE GENERAL TEST Margaret Krantz Hanover College Career Center Director.
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides Revised by Mary Westervelt, Director SEAS Technical Communication Program.
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides.
Welcome to the seminar course
Tips for Creating Electronic Presentations. Outline Overview / Basics Content Visual Effects Presentation Organization and Coherence 2.
Anita M. Baker, Ed.D. Jamie Bassell Evaluation Services Program Evaluation Essentials Evaluation Support 2.0 Session 2 Bruner Foundation Rochester, New.
Poster Design Workshop: Adobe Illustrator March 13, 2013 Catherine Tucker.
Virginia Junior Academy of Science Presentation Overview Spring 2013.
PowerPoint Guidelines For WAC Employees Watershed Agricultural Council Walton, NY Last Updated April 23, 2010 Outreach & Communications Department.
PRESENTATION SKILLS PART B 1. 1.KNOW YOUR AUDIENCE A presentation is a dialogue between you and your audience and they will judge your presentation on:
Petrophase 2008 Poster Presentation Title
How to present a poster Sabrice Guerrier SPGRE Program 2007.
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides.
Introduction to Communication Research
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides.
How to Assess Student Learning in Arts Partnerships Part II: Survey Research Revised April 2, 2012 Mary Campbell-Zopf, Ohio Arts Council
Developing Poster Presentations in the Social Sciences.
MKEA Conference Workshop # 6 Skills necessary to support classroom observations Eleonora Villegas-Reimers Wheelock College April 7, 2014.
Business and Management Research
WELCOME Thank you for joining our webinar. We will begin at 1pm Eastern. Please call into the audio portion of our presentation: Dial If you.
Making PowerPoint Slides
Presentations: The good, the bad and the ugly
1/28 Using PowerPoint for Academic Presentations How to… How NOT to…
1 Tips for Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides.
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides Source:
Making PowerPoint Slides How to Design an Effective Presentation.
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides Name and affiliation?
Capstone Presentation Guideline February 2010 Middletown High School Middletown Public Schools.
How to make a PowerPoint presentation Emina Savić, MD Institute of Microbiology and Immunology, School of Medicine, University of.
Poster Design Nadia Barclay, Brooke Everett Information Technology Lab School of Information University of Texas at Austin.
Counseling Research: Quantitative, Qualitative, and Mixed Methods, 1e © 2010 Pearson Education, Inc. All rights reserved. Using SPSS to Analyze Data Anastasia.
How to create a successful poster for the Group 4 Project
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides.
Quantitative SOTL Research Methods Krista Trinder, College of Medicine Brad Wuetherick, GMCTE October 28, 2010.
Submitting Course Outlines for C-ID Designation Training for Articulation Officers Summer 2012.
Delia Torres and Leticia Mendez. Process 1 Looked at gaps and key areas of concern  Content Area Connections  Frequency/Design of Instructional Setting.
How to write a scientific article Nikolaos P. Polyzos M.D. PhD.
Experimental Research Methods in Language Learning Chapter 9 Descriptive Statistics.
Making PowerPoint Slides
Making PowerPoint Slides Adopted from Mary Westervelt, University of Pennsylvania.
How to create a Scientific poster for the Group 4 presentation.
Name (s) of Presenter(s) Date Attending. Title of Research Studied What did you study? Who assisted you? What questions were you asking? Tips for Presentation:
Making PowerPoint Slides Avoiding the Pitfalls of Bad Slides.
CONFERENCE EVALUATION DATA ANALYSIS. DATA ANALYSIS  A credible amount of data has to be collected to allow for a substantial analysis  Information collected.
Poster presentation with PowerPoint Oulu Jouko Miettunen.
ACS Undergraduate Research Symposium Saturday, April 30 at Saint Mary’s College –
The Research Process First, Collect data and make sure that everything is coded properly, things are not missing. Do this for whatever program your using.
Developing Poster Presentations in the Social Sciences
Individualized research consultations in academic libraries: Useful or useless? Let the evidence speak for itself Karine Fournier Lindsey Sikora Health.
Disseminating Research Findings Shawn A. Lawrence, PhD, LCSW SOW 3401
Writing your SOTL Proposal
Developing a Methodology
Developing Poster Presentations in the Social Sciences
Finding Answers through Data Collection
ISC 3920 Scientific Process Term, Year
ACKNOWLEDGEMENTS (optional section)
Writing the IA Report: Analysis and Evaluation
Your name Your faculty mentor’s name Department
Developing Poster Presentations in the Social Sciences
Presentation Number Title of the paper
Your name Your faculty mentor’s name Department
ISC 3920 Scientific Process Term, Year
Presentation transcript:

Brad Wuetherick, GMCTE Krista Trinder, College of Medicine

 Data Collection ◦ Reminder about key issues discussed in previously  Data Analysis ◦ Explore data analysis tools, and key issues to remember when analyzing SOTL data  Dissemination ◦ Explore where and what to disseminate, and what to look out for  Poster Tips ◦ Discuss what makes a good poster (and not so good poster)

 Prior to data collection ◦ Decide on your instruments and pilot test ◦ Try to use previously validated instruments when possible. ◦ When creating your own tools, have them reviewed by judges for clarity, content, etc.

 How many participants do you need? ◦ Sample size depends on the type of research and intended analyses. ◦ Quantitative methods should have a sample size of at least 30. ◦ Some analyses require sample sizes >100. ◦ Qualitative methods often need fewer participants.

 G*Power can help you estimate how large your sample needs to be to find a statistically significant result. ◦ Need to know your statistical test ◦ Effect size (d =.2 is small,.5 = medium,.8 = large) ◦ Probability of error (0.05) ◦ Power (.80) ◦ Allocation ratio (whether groups are equal) ◦

 Online vs. Paper/pencil  Online Pros ◦ Ability to reach more participants ◦ Can be completed at participants’ convenience ◦ Greater sense of anonymity ◦ Less paper! ◦ Saves time – can upload results into Excel/SPSS ◦ Reduces data entry errors  Online Cons ◦ Lower response rate ◦ Perceived privacy issues

 U of S Survey Tool The U of S offers a free survey tool that is very flexible and customizable – this survey works very well for small groups on campus (using an NSID login/password) tool/create.php tool/create.php

 Survey Monkey ◦ Free basic version  Up to 10 questions per survey  100 responses per survey  More limited options ◦ Professional version  Many survey options  Unlimited questions per survey  Unlimited responses per survey  $225/year – monthly rates of $25 available

 Hiring/Training a Research Assistant (undergrad or grad)  Some key issues: ◦ Hiring a student from your discipline  Pros: vested interest in the discipline, know the culture of the discipline, often known to the researcher  Cons: may be new to this type of research, need training/support on methods/analysis ◦ Hiring a student from education/social sciences  Pros: often know the research methods being used which can speed up project, can be a resource to researchers new to this area  Cons: usually less connected to specific disciplines, usually new to the researchers (which may make them harder to find)

 Quantitative Programs ◦ SPSS (PASW) ◦ Excel ◦ SAS ◦ R  Qualitative Programs ◦ NVivo ◦ ATLAS ti

 ITS offers training sessions in several data analysis programs  SPSS ◦ January 18 & 20 ◦ January 18 & 25  Nvivo ◦ By demand  Excel ◦ By demand

 Data screening  Check that data set is accurate and complete ◦ RAs should code data as soon as possible ◦ Check for errors in coding  Have 2 nd RA code some data independently to identify discrepancies. ◦ Make sure missing data is actually missing  Go to raw data ◦ Run frequency counts for all variables to identify out of range responses

 Missing data and outliers ◦ There are several options for dealing with missing data or with outliers. ◦ Options can be rather technical ◦ Please contact us or a statistician if you have any questions about your data.

 Good to know your analyses before collecting data  See handout  Don’t fall into the following traps ◦ Quantitative – data mining ◦ Qualitative – finding what you want to find while ignoring other data

 There are three main ways to disseminate: ◦ Publications ◦ Conferences ◦ Public Talks (or College/Department Committees, institutional symposia, GMCTE presentations, etc.)  Publications: ◦ Discipline-specific Education journals ◦ General Higher Education ◦ General Education (often themed – ie. technology, international, etc.) ◦ Monographs/Edited Volumes

 Conferences: ◦ Discipline-specific conferences ◦ Higher Education Teaching and Learning Conferences  Practice-oriented  SOTL-oriented  Research-oriented  Key things to remember: ◦ What type of audience? What type of session (concurrent session, roundtable, workshop, poster)? What are the conferences expectations (interactive, conference proceedings, etc.)?

 Can use PowerPoint, Adobe Illustrator, or Adobe InDesign  ITS offers training sessions: ◦ PowerPoint – January 27 ◦ Illustrator – by demand ◦ InDesign – February 16

 Attract attention ◦ Draw people to your poster ◦ Should be able to review in less than 10 minutes  Simple and uncluttered ◦ Don’t use too much text; at least a 24 pt serif font ◦ Summarize key points ◦ You can explain the rest  Light background and dark font  Use charts and images where appropriate

 General sections to include (may vary slightly by conference) ◦ Title ◦ Introduction ◦ Materials and methods ◦ Results ◦ Conclusions ◦ Literature cited ◦ Acknowledgments  See:

 Thank you!